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summary() fails if called a second time #50

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xadupre opened this issue Nov 4, 2018 · 0 comments
Closed

summary() fails if called a second time #50

xadupre opened this issue Nov 4, 2018 · 0 comments
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@pieths
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bug Something isn't working

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@xadupre
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xadupre commented Nov 4, 2018

Describe the bug

summary() fails if called a second time.

To Reproduce

nlr = OrdinaryLeastSquaresRegressor()
nlr.fit(diabetes_X_train, diabetes_y_train)
nlr.summary()  # ok
nlr.summary()  # fails

produces the following error:

nimbusml\base_predictor.py in summary(self)
    140         Returns model summary.
    141         """
--> 142         if hasattr(self, 'model_summary_') and self.model_summary_:
    143             return self.model_summary_
    144 

pandas\core\generic.py in __nonzero__(self)
   1574         raise ValueError("The truth value of a {0} is ambiguous. "
   1575                          "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
-> 1576                          .format(self.__class__.__name__))
   1577 
   1578     __bool__ = __nonzero__

Desktop

  • OS: [Windows]
  • Browser [Chrome]
  • Version [python 3.7]
@xadupre xadupre added the bug Something isn't working label Nov 4, 2018
@ganik ganik assigned ganik and pieths and unassigned ganik May 24, 2019
pieths pushed a commit to pieths/NimbusML that referenced this issue May 29, 2019
Fixes microsoft#50 - summary() fails if called a second time.
ddd0a51
@pieths pieths closed this as completed in c35536d May 30, 2019
ganik pushed a commit that referenced this issue Jul 1, 2019
@Stephen0620 @ganik
Updated the documentation for time series (#158)
2a7ac80 
* Update readme with latest feedback (#39)

Updating readme with latest feedback.

* Add THIRD-PARTY-NOTICES.txt and move CONTRIBUTING.md to root. (#40)

* Initial checkin

* Move to Hosted Mac pool

* Update README.md

* Manually copied naming changes over from master.

* Revert "Merge remote-tracking branch 'upstream/temp/docs'"

This reverts commit 93c7347, reversing
changes made to 2350069.

* Improve documentation regarding contributors.

* Fix email address.

* Create CODE_OF_CONDUCT.md

* Update issue templates

* Create PULL_REQUEST_TEMPLATE.md

* Update issue templates

* Update issue templates

* Update issue templates

* Fixing link in CONTRIBUTING.md (#44)

* Update contributing.md link. (#43)

* Initial checkin for ML.NET 0.7 upgrade

* fix tests

* put back columndropper

* fix tests

* Update scikit-learn links to use https instead of http

* restart dotnetcore2 package work

* fix build

* fix mac & linux

* fix build

* fix build

* dbg build

* fix build

* fix build

* handle py 2.7

* handle py27

* fix py27

* fix build

* fix build

* fix build

* ensure dependencies

* ignore exceptions from ensure dependencies

* up version

* Update cv.py

add case for X is data frame

* Update cv.py

add a space

* add a test for cv with data frame

* set DOTNET_SYSTEM_GLOBALIZATION_INVARIANT to true to fix app domain error

* fix build

* up version

* Add instructions for editing docstrings. (#51)

* Add instructions for editing docstrings.

* Add footnote giving more information.

* Fix build failures caused by dotnetcore2 module. (#67)

* Fix importing of the dotnetcore2 module because it has inconsistent folder naming.

* Fix file check for unix platforms.

* Fix indentation levels.

* Reduce number of build legs for PR validations and add nightly build definition with more robust build matrix. (#69)

* Increase version to 0.6.5. (#71)

* Update clr helper function to search multiple folders for clr binaries. (#72)

* Update clr helper function to search multiple folders for clr binaries.

* Moved responsiblity for Python version checking to utility functions.

* Add clarifying comments.

* Fix call to get_nimbusml_libs()

* fix drop column param name

* Remove restricted permissions on build.sh script.

* Fix lightgbm test failures by updating runtime dependencies.

* fix TensorFlowScorer model_location paramter name

* Fix build.sh defaults so that it detects when running on a mac.

* Since OneHotHashVectorizer is broken for output kind Key in ML.NET 0.7, usse ToKey() for unit tests

* fix tests

* fix pyproj test

* fix win 3.6 build

* fix comments

* expose "parallel" to the fit/fit_transform function by including **param to the argument

* add a test for the parallel

* update parallel thread

* fix tests comparison

* Update thread, retry build

* modify tests

* specify pytest-cov version

* update pytest-cov version in build command for linux

* for windows use the latest pytest-cov

* Enabled strong naming for DoNetBridge.dll (to be used for InternalsVisibleTo in ML.NET)

* Changed the keys to be the same as other internal repos

* Changed the key filename

* Update to ML.NET 0.10.preview (#77)

* Updating ML.NET nugets to latest 0.9 preview.

* --generate_entrypoints phase 1

* Fixed Models.CrossValidator

* Updated all entrypoints

* New manifest.json, picket from Monte's branch

* Updated API codegen

* Replace ISchema and SchemaImpl with Schema and SchemaBuilder.

* Revert "Replace ISchema and SchemaImpl with Schema and SchemaBuilder."

This reverts commit dcd749d.

* Refactor IRowCursor to RowCursor.

* Update ML.NET version in build.csproj.

* Update manifest.json to ml.net commit 92e762686989215ddf45d9db3f0a1c989ee54d11

* Updated RunGraph.cs to ml.net 0.10

* Refactor Vbuffer

* Added override to RowCursor methods

* Update to NimbusML-privileged nugets from ML.NET.

* Update to Microsoft.ML namespace without Runtime.

* Schema and VBuffer fixes in NativeDataInterop.

* API fixes for IRandom and IsText in RmlEnvironment and NativeDataView.

* Work on getting VBuffer pointers from Spans.

* Some VBuffer fixes

* fix some class names

* Fix Register Assembly names.

* Remove ML.PipelineInference

* fixed more classes

* Add back columndropper for backward compatability.

* Register Entrypoints assembly in environment.

* Fix homebrew update problem on VS Hosted Mac images.

* Updated all the nuget versions to be the same.

* Attempt to fix the dataframe unit tests

* Fixed test_pyproj

* Optimized VBuffer changes

* Changed bridge version value to 0.10

* Addressed PR comments

* Simplify by using six.string_types (#89)

* Simplify by using six.string_types

* Force a retest

* Removed ISchema from DotNetBridge (#90)

* Removed ISchema

* Fixed the tests

* Addressed PR comments

* Addressed Wei-Sheng's comments about documenting the purpose of Column.DetachedColumn.

* add configuration for python 3.7 (#101)

* add configuration for python 3.7

* fix broken unit test

* Update build.sh

* fix build for Windows

* Linux py3.7 build

* fix pytest version

* upgrade pytest

* fix pytest-cov version

* fix isinstance(., int) for python 2.7

* build urls for Mac

* final fixes

* fix libomp

* Removing 3.7 for now as its not in PyPI

* Upgrade to ML.NET version 1.0.0 (#100)

* ref v0.10 ML.NET

* fix build

* hook up to v0.11.0 ML.NET

* fix build errors

* fix build

* include Microsoft.Data.DataView.dll in build

* typo

* remove protobuf dll

* Regenerate code due to manifest changes

* fix missing ep

* Update to ML.NET 1.0.0-preview

* fix .net build

* update nuget for ML.NET

* remove Data namespace dll

* rollback nuget changes

* move to final RC ML.NET

* Regenerate classes as per updated manifest

* fix maximum_number_of_iterations param name

* fix parameter names

* fix names

* reference official v1.0 of ML.NET

* fix tests

* fix label column

* Fix tests

* fix lightgbm tests

* fix OLS

* fix tests

* fix more tests

* fix more tests

* fix weight column name

* more tests

* fix normalized metrics

* more errors

* Fix CV

* rename feature_column to feature_column_name

* fix cv ranker

* Fix lightgbm tests

* fix changes due to upgrade of NGramFeaturizer

* fix ngram featurizer

* fix FactorizationMachine assert error

* disable test which is not working now due to change in LightGbm version

* fix model name

* typo

* handle nan in arrays

* fix tests

* fix tests

* fix more tests

* fix data type

* fix AUC exception

* kick the build

* fix tests due to data change

* fix ngram test

* fix mutual info tests

* copy libiomp lib

* fix mac build

* disable SymSgdNative for now

* disable SymSgdBinary classifier tests for Linux

* fix linux tests

* fix linux tests

* try linux

* fix linux

* skip SymSgdBinaryClassifier checks

* fix entrypoint compiler

* fix entry point generation

* fix example tests run

* fix typo

* fix documentation regression

* fix parameter name

* fix examples

* fix examples

* fix tests

* fix tests

* fix linux

* kick build

* Fix code_fixer

* fix skip take filters

* fix estimator checks

* Fix latest Windows build issues. (#105)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Fixes #50 - summary() fails if called a second time. (#107)

* Fixes #50 - summary() fails if called a second time.

* Fixes #99. Do not use hardcoded file separator. (#108)

Fixes #99. Do not use hard coded file separator.

* Delete the cached summaries when refitting a pipeline or a predictor. (#109)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes #106

* Simplify the code that deletes cached summaries when calling fit.

* Fix signature import error when using latest version of scikit-learn. (#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes #111

* Move the conditional import of the signature method in to the utils package.

* Package System.Drawing.Common.dll as its missing in dotnetcore2 (#120)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade the pytest-remotedata package to fix missing attribute error. (#121)

* Upgrade the pytest-remotedata package to fix missing attribute error.
Fixes #117

* Remove the RlsMacPy3.6 configuration from .vsts-ci.yml.

* Upgrade version (#122)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade version

* Support quoted strings by default (#124)

* upgrade to ML.NET 1.1 (#126)

* upgrade to ML.NET 1.1

* by default quote is +

* assert changes due to quote

* fix tensor flow example

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Expose ML.NET SSA & IID spike & changepoint detectors. (#135)

* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.

* Import the Microsoft.ML.TimeSeries assembly in to the project.

* Use 'PassAs' in manifest.json to fix the source parameter name.

* Use float32 for data dtype in IidSpikeDetector example.

* Convert IidSpikeDetector to a standard transform. Add examples and tests.

* Add pre-transform to IidSpikeDetector to fix incompatible data types.

* Fix issues with the test_estimator_checks IidSpikeDetector tests.

* Remove unnecessary TypeConverter import in IidSpikeDetector example.

* Initial implementation of IidChangePointDetector.

* Initial implementation of SsaSpikeDetector.

* Initial implementation of SsaChangePointDetector.

* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.

* Fix a few minor issues with time series unit tests and examples. (#139)

* Skip Image.py and Image_df.py tests for Ubuntu 14 (#149)

* * Fixed the script for generating the documentation (#144)

* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts

* Rename time_series package to timeseries. (#150)

* Initial checkin

* Move to Hosted Mac pool

* Manually copied naming changes over from master.

* merge master to temp/docs for updating the documentation  (#134)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Merge branch 'documentation' into temp/docs (#143)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Fixed the issue when generating the documentation guide and concepts

* Moved _static to the right folder, and change PY36 to PY37 now

* Made it work with Python3.6

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Added undersocres to the files of time series
Stephen0620 added a commit that referenced this issue Jul 2, 2019
@Stephen0620
Fixed estimator checks failed from ssa_forecasting's update (#166)
dc4ad64 
* Update readme with latest feedback (#39)

Updating readme with latest feedback.

* Add THIRD-PARTY-NOTICES.txt and move CONTRIBUTING.md to root. (#40)

* Initial checkin

* Move to Hosted Mac pool

* Update README.md

* Manually copied naming changes over from master.

* Revert "Merge remote-tracking branch 'upstream/temp/docs'"

This reverts commit 93c7347, reversing
changes made to 2350069.

* Improve documentation regarding contributors.

* Fix email address.

* Create CODE_OF_CONDUCT.md

* Update issue templates

* Create PULL_REQUEST_TEMPLATE.md

* Update issue templates

* Update issue templates

* Update issue templates

* Fixing link in CONTRIBUTING.md (#44)

* Update contributing.md link. (#43)

* Initial checkin for ML.NET 0.7 upgrade

* fix tests

* put back columndropper

* fix tests

* Update scikit-learn links to use https instead of http

* restart dotnetcore2 package work

* fix build

* fix mac & linux

* fix build

* fix build

* dbg build

* fix build

* fix build

* handle py 2.7

* handle py27

* fix py27

* fix build

* fix build

* fix build

* ensure dependencies

* ignore exceptions from ensure dependencies

* up version

* Update cv.py

add case for X is data frame

* Update cv.py

add a space

* add a test for cv with data frame

* set DOTNET_SYSTEM_GLOBALIZATION_INVARIANT to true to fix app domain error

* fix build

* up version

* Add instructions for editing docstrings. (#51)

* Add instructions for editing docstrings.

* Add footnote giving more information.

* Fix build failures caused by dotnetcore2 module. (#67)

* Fix importing of the dotnetcore2 module because it has inconsistent folder naming.

* Fix file check for unix platforms.

* Fix indentation levels.

* Reduce number of build legs for PR validations and add nightly build definition with more robust build matrix. (#69)

* Increase version to 0.6.5. (#71)

* Update clr helper function to search multiple folders for clr binaries. (#72)

* Update clr helper function to search multiple folders for clr binaries.

* Moved responsiblity for Python version checking to utility functions.

* Add clarifying comments.

* Fix call to get_nimbusml_libs()

* fix drop column param name

* Remove restricted permissions on build.sh script.

* Fix lightgbm test failures by updating runtime dependencies.

* fix TensorFlowScorer model_location paramter name

* Fix build.sh defaults so that it detects when running on a mac.

* Since OneHotHashVectorizer is broken for output kind Key in ML.NET 0.7, usse ToKey() for unit tests

* fix tests

* fix pyproj test

* fix win 3.6 build

* fix comments

* expose "parallel" to the fit/fit_transform function by including **param to the argument

* add a test for the parallel

* update parallel thread

* fix tests comparison

* Update thread, retry build

* modify tests

* specify pytest-cov version

* update pytest-cov version in build command for linux

* for windows use the latest pytest-cov

* Enabled strong naming for DoNetBridge.dll (to be used for InternalsVisibleTo in ML.NET)

* Changed the keys to be the same as other internal repos

* Changed the key filename

* Update to ML.NET 0.10.preview (#77)

* Updating ML.NET nugets to latest 0.9 preview.

* --generate_entrypoints phase 1

* Fixed Models.CrossValidator

* Updated all entrypoints

* New manifest.json, picket from Monte's branch

* Updated API codegen

* Replace ISchema and SchemaImpl with Schema and SchemaBuilder.

* Revert "Replace ISchema and SchemaImpl with Schema and SchemaBuilder."

This reverts commit dcd749d.

* Refactor IRowCursor to RowCursor.

* Update ML.NET version in build.csproj.

* Update manifest.json to ml.net commit 92e762686989215ddf45d9db3f0a1c989ee54d11

* Updated RunGraph.cs to ml.net 0.10

* Refactor Vbuffer

* Added override to RowCursor methods

* Update to NimbusML-privileged nugets from ML.NET.

* Update to Microsoft.ML namespace without Runtime.

* Schema and VBuffer fixes in NativeDataInterop.

* API fixes for IRandom and IsText in RmlEnvironment and NativeDataView.

* Work on getting VBuffer pointers from Spans.

* Some VBuffer fixes

* fix some class names

* Fix Register Assembly names.

* Remove ML.PipelineInference

* fixed more classes

* Add back columndropper for backward compatability.

* Register Entrypoints assembly in environment.

* Fix homebrew update problem on VS Hosted Mac images.

* Updated all the nuget versions to be the same.

* Attempt to fix the dataframe unit tests

* Fixed test_pyproj

* Optimized VBuffer changes

* Changed bridge version value to 0.10

* Addressed PR comments

* Simplify by using six.string_types (#89)

* Simplify by using six.string_types

* Force a retest

* Removed ISchema from DotNetBridge (#90)

* Removed ISchema

* Fixed the tests

* Addressed PR comments

* Addressed Wei-Sheng's comments about documenting the purpose of Column.DetachedColumn.

* add configuration for python 3.7 (#101)

* add configuration for python 3.7

* fix broken unit test

* Update build.sh

* fix build for Windows

* Linux py3.7 build

* fix pytest version

* upgrade pytest

* fix pytest-cov version

* fix isinstance(., int) for python 2.7

* build urls for Mac

* final fixes

* fix libomp

* Removing 3.7 for now as its not in PyPI

* Upgrade to ML.NET version 1.0.0 (#100)

* ref v0.10 ML.NET

* fix build

* hook up to v0.11.0 ML.NET

* fix build errors

* fix build

* include Microsoft.Data.DataView.dll in build

* typo

* remove protobuf dll

* Regenerate code due to manifest changes

* fix missing ep

* Update to ML.NET 1.0.0-preview

* fix .net build

* update nuget for ML.NET

* remove Data namespace dll

* rollback nuget changes

* move to final RC ML.NET

* Regenerate classes as per updated manifest

* fix maximum_number_of_iterations param name

* fix parameter names

* fix names

* reference official v1.0 of ML.NET

* fix tests

* fix label column

* Fix tests

* fix lightgbm tests

* fix OLS

* fix tests

* fix more tests

* fix more tests

* fix weight column name

* more tests

* fix normalized metrics

* more errors

* Fix CV

* rename feature_column to feature_column_name

* fix cv ranker

* Fix lightgbm tests

* fix changes due to upgrade of NGramFeaturizer

* fix ngram featurizer

* fix FactorizationMachine assert error

* disable test which is not working now due to change in LightGbm version

* fix model name

* typo

* handle nan in arrays

* fix tests

* fix tests

* fix more tests

* fix data type

* fix AUC exception

* kick the build

* fix tests due to data change

* fix ngram test

* fix mutual info tests

* copy libiomp lib

* fix mac build

* disable SymSgdNative for now

* disable SymSgdBinary classifier tests for Linux

* fix linux tests

* fix linux tests

* try linux

* fix linux

* skip SymSgdBinaryClassifier checks

* fix entrypoint compiler

* fix entry point generation

* fix example tests run

* fix typo

* fix documentation regression

* fix parameter name

* fix examples

* fix examples

* fix tests

* fix tests

* fix linux

* kick build

* Fix code_fixer

* fix skip take filters

* fix estimator checks

* Fix latest Windows build issues. (#105)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Fixes #50 - summary() fails if called a second time. (#107)

* Fixes #50 - summary() fails if called a second time.

* Fixes #99. Do not use hardcoded file separator. (#108)

Fixes #99. Do not use hard coded file separator.

* Delete the cached summaries when refitting a pipeline or a predictor. (#109)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes #106

* Simplify the code that deletes cached summaries when calling fit.

* Fix signature import error when using latest version of scikit-learn. (#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes #111

* Move the conditional import of the signature method in to the utils package.

* Package System.Drawing.Common.dll as its missing in dotnetcore2 (#120)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade the pytest-remotedata package to fix missing attribute error. (#121)

* Upgrade the pytest-remotedata package to fix missing attribute error.
Fixes #117

* Remove the RlsMacPy3.6 configuration from .vsts-ci.yml.

* Upgrade version (#122)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade version

* Support quoted strings by default (#124)

* upgrade to ML.NET 1.1 (#126)

* upgrade to ML.NET 1.1

* by default quote is +

* assert changes due to quote

* fix tensor flow example

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Expose ML.NET SSA & IID spike & changepoint detectors. (#135)

* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.

* Import the Microsoft.ML.TimeSeries assembly in to the project.

* Use 'PassAs' in manifest.json to fix the source parameter name.

* Use float32 for data dtype in IidSpikeDetector example.

* Convert IidSpikeDetector to a standard transform. Add examples and tests.

* Add pre-transform to IidSpikeDetector to fix incompatible data types.

* Fix issues with the test_estimator_checks IidSpikeDetector tests.

* Remove unnecessary TypeConverter import in IidSpikeDetector example.

* Initial implementation of IidChangePointDetector.

* Initial implementation of SsaSpikeDetector.

* Initial implementation of SsaChangePointDetector.

* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.

* Fix a few minor issues with time series unit tests and examples. (#139)

* Skip Image.py and Image_df.py tests for Ubuntu 14 (#149)

* * Fixed the script for generating the documentation (#144)

* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts

* Rename time_series package to timeseries. (#150)

* Fixed the ModuleNotFound error when importing time series

* Fixed the issue of Ubuntu14 not skipping Image.py and Image_df.py (#161)

* Updated CharTokenizer.py example (#153)

* Initial checkin

* Move to Hosted Mac pool

* Manually copied naming changes over from master.

* merge master to temp/docs for updating the documentation  (#134)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Merge branch 'documentation' into temp/docs (#143)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Fixed the issue when generating the documentation guide and concepts

* Moved _static to the right folder, and change PY36 to PY37 now

* Made it work with Python3.6

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Fixed the ModuleNotFound error when importing time series

* Initial test of the new SsaForecaster entry point.

* Update SsaForecaster to use the most recent version of the entry point in ml.net.

* Skip the test_estimator_checks for not since the ml.net binaries
which are included with nimbusml do not have the most recent
SsaForecasting entry point code.

* Documenation of SSA_Forecasting

* Force CI re-run. It appears the Mac system went down before it could finish.

* Start another CI run.

* Skip CharTokenizer.py for extended tests (#163)

* Add support for returning custom values when overriding Pipeline.predict. (#155)

* Added _ssaforecaster to pyproj file
Stephen0620 added a commit to Stephen0620/NimbusML that referenced this issue Jul 4, 2019
@Stephen0620
Updated the documentation for time series (microsoft#158)
e5a0452 
* Update readme with latest feedback (microsoft#39)

Updating readme with latest feedback.

* Add THIRD-PARTY-NOTICES.txt and move CONTRIBUTING.md to root. (microsoft#40)

* Initial checkin

* Move to Hosted Mac pool

* Update README.md

* Manually copied naming changes over from master.

* Revert "Merge remote-tracking branch 'upstream/temp/docs'"

This reverts commit 93c7347, reversing
changes made to 2350069.

* Improve documentation regarding contributors.

* Fix email address.

* Create CODE_OF_CONDUCT.md

* Update issue templates

* Create PULL_REQUEST_TEMPLATE.md

* Update issue templates

* Update issue templates

* Update issue templates

* Fixing link in CONTRIBUTING.md (microsoft#44)

* Update contributing.md link. (microsoft#43)

* Initial checkin for ML.NET 0.7 upgrade

* fix tests

* put back columndropper

* fix tests

* Update scikit-learn links to use https instead of http

* restart dotnetcore2 package work

* fix build

* fix mac & linux

* fix build

* fix build

* dbg build

* fix build

* fix build

* handle py 2.7

* handle py27

* fix py27

* fix build

* fix build

* fix build

* ensure dependencies

* ignore exceptions from ensure dependencies

* up version

* Update cv.py

add case for X is data frame

* Update cv.py

add a space

* add a test for cv with data frame

* set DOTNET_SYSTEM_GLOBALIZATION_INVARIANT to true to fix app domain error

* fix build

* up version

* Add instructions for editing docstrings. (microsoft#51)

* Add instructions for editing docstrings.

* Add footnote giving more information.

* Fix build failures caused by dotnetcore2 module. (microsoft#67)

* Fix importing of the dotnetcore2 module because it has inconsistent folder naming.

* Fix file check for unix platforms.

* Fix indentation levels.

* Reduce number of build legs for PR validations and add nightly build definition with more robust build matrix. (microsoft#69)

* Increase version to 0.6.5. (microsoft#71)

* Update clr helper function to search multiple folders for clr binaries. (microsoft#72)

* Update clr helper function to search multiple folders for clr binaries.

* Moved responsiblity for Python version checking to utility functions.

* Add clarifying comments.

* Fix call to get_nimbusml_libs()

* fix drop column param name

* Remove restricted permissions on build.sh script.

* Fix lightgbm test failures by updating runtime dependencies.

* fix TensorFlowScorer model_location paramter name

* Fix build.sh defaults so that it detects when running on a mac.

* Since OneHotHashVectorizer is broken for output kind Key in ML.NET 0.7, usse ToKey() for unit tests

* fix tests

* fix pyproj test

* fix win 3.6 build

* fix comments

* expose "parallel" to the fit/fit_transform function by including **param to the argument

* add a test for the parallel

* update parallel thread

* fix tests comparison

* Update thread, retry build

* modify tests

* specify pytest-cov version

* update pytest-cov version in build command for linux

* for windows use the latest pytest-cov

* Enabled strong naming for DoNetBridge.dll (to be used for InternalsVisibleTo in ML.NET)

* Changed the keys to be the same as other internal repos

* Changed the key filename

* Update to ML.NET 0.10.preview (microsoft#77)

* Updating ML.NET nugets to latest 0.9 preview.

* --generate_entrypoints phase 1

* Fixed Models.CrossValidator

* Updated all entrypoints

* New manifest.json, picket from Monte's branch

* Updated API codegen

* Replace ISchema and SchemaImpl with Schema and SchemaBuilder.

* Revert "Replace ISchema and SchemaImpl with Schema and SchemaBuilder."

This reverts commit dcd749d.

* Refactor IRowCursor to RowCursor.

* Update ML.NET version in build.csproj.

* Update manifest.json to ml.net commit 92e762686989215ddf45d9db3f0a1c989ee54d11

* Updated RunGraph.cs to ml.net 0.10

* Refactor Vbuffer

* Added override to RowCursor methods

* Update to NimbusML-privileged nugets from ML.NET.

* Update to Microsoft.ML namespace without Runtime.

* Schema and VBuffer fixes in NativeDataInterop.

* API fixes for IRandom and IsText in RmlEnvironment and NativeDataView.

* Work on getting VBuffer pointers from Spans.

* Some VBuffer fixes

* fix some class names

* Fix Register Assembly names.

* Remove ML.PipelineInference

* fixed more classes

* Add back columndropper for backward compatability.

* Register Entrypoints assembly in environment.

* Fix homebrew update problem on VS Hosted Mac images.

* Updated all the nuget versions to be the same.

* Attempt to fix the dataframe unit tests

* Fixed test_pyproj

* Optimized VBuffer changes

* Changed bridge version value to 0.10

* Addressed PR comments

* Simplify by using six.string_types (microsoft#89)

* Simplify by using six.string_types

* Force a retest

* Removed ISchema from DotNetBridge (microsoft#90)

* Removed ISchema

* Fixed the tests

* Addressed PR comments

* Addressed Wei-Sheng's comments about documenting the purpose of Column.DetachedColumn.

* add configuration for python 3.7 (microsoft#101)

* add configuration for python 3.7

* fix broken unit test

* Update build.sh

* fix build for Windows

* Linux py3.7 build

* fix pytest version

* upgrade pytest

* fix pytest-cov version

* fix isinstance(., int) for python 2.7

* build urls for Mac

* final fixes

* fix libomp

* Removing 3.7 for now as its not in PyPI

* Upgrade to ML.NET version 1.0.0 (microsoft#100)

* ref v0.10 ML.NET

* fix build

* hook up to v0.11.0 ML.NET

* fix build errors

* fix build

* include Microsoft.Data.DataView.dll in build

* typo

* remove protobuf dll

* Regenerate code due to manifest changes

* fix missing ep

* Update to ML.NET 1.0.0-preview

* fix .net build

* update nuget for ML.NET

* remove Data namespace dll

* rollback nuget changes

* move to final RC ML.NET

* Regenerate classes as per updated manifest

* fix maximum_number_of_iterations param name

* fix parameter names

* fix names

* reference official v1.0 of ML.NET

* fix tests

* fix label column

* Fix tests

* fix lightgbm tests

* fix OLS

* fix tests

* fix more tests

* fix more tests

* fix weight column name

* more tests

* fix normalized metrics

* more errors

* Fix CV

* rename feature_column to feature_column_name

* fix cv ranker

* Fix lightgbm tests

* fix changes due to upgrade of NGramFeaturizer

* fix ngram featurizer

* fix FactorizationMachine assert error

* disable test which is not working now due to change in LightGbm version

* fix model name

* typo

* handle nan in arrays

* fix tests

* fix tests

* fix more tests

* fix data type

* fix AUC exception

* kick the build

* fix tests due to data change

* fix ngram test

* fix mutual info tests

* copy libiomp lib

* fix mac build

* disable SymSgdNative for now

* disable SymSgdBinary classifier tests for Linux

* fix linux tests

* fix linux tests

* try linux

* fix linux

* skip SymSgdBinaryClassifier checks

* fix entrypoint compiler

* fix entry point generation

* fix example tests run

* fix typo

* fix documentation regression

* fix parameter name

* fix examples

* fix examples

* fix tests

* fix tests

* fix linux

* kick build

* Fix code_fixer

* fix skip take filters

* fix estimator checks

* Fix latest Windows build issues. (microsoft#105)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Fixes microsoft#50 - summary() fails if called a second time. (microsoft#107)

* Fixes microsoft#50 - summary() fails if called a second time.

* Fixes microsoft#99. Do not use hardcoded file separator. (microsoft#108)

Fixes microsoft#99. Do not use hard coded file separator.

* Delete the cached summaries when refitting a pipeline or a predictor. (microsoft#109)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes microsoft#106

* Simplify the code that deletes cached summaries when calling fit.

* Fix signature import error when using latest version of scikit-learn. (microsoft#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes microsoft#111

* Move the conditional import of the signature method in to the utils package.

* Package System.Drawing.Common.dll as its missing in dotnetcore2 (microsoft#120)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade the pytest-remotedata package to fix missing attribute error. (microsoft#121)

* Upgrade the pytest-remotedata package to fix missing attribute error.
Fixes microsoft#117

* Remove the RlsMacPy3.6 configuration from .vsts-ci.yml.

* Upgrade version (microsoft#122)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade version

* Support quoted strings by default (microsoft#124)

* upgrade to ML.NET 1.1 (microsoft#126)

* upgrade to ML.NET 1.1

* by default quote is +

* assert changes due to quote

* fix tensor flow example

* Put long running tests in to their own folder to shorten build times. (microsoft#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Expose ML.NET SSA & IID spike & changepoint detectors. (microsoft#135)

* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.

* Import the Microsoft.ML.TimeSeries assembly in to the project.

* Use 'PassAs' in manifest.json to fix the source parameter name.

* Use float32 for data dtype in IidSpikeDetector example.

* Convert IidSpikeDetector to a standard transform. Add examples and tests.

* Add pre-transform to IidSpikeDetector to fix incompatible data types.

* Fix issues with the test_estimator_checks IidSpikeDetector tests.

* Remove unnecessary TypeConverter import in IidSpikeDetector example.

* Initial implementation of IidChangePointDetector.

* Initial implementation of SsaSpikeDetector.

* Initial implementation of SsaChangePointDetector.

* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.

* Fix a few minor issues with time series unit tests and examples. (microsoft#139)

* Skip Image.py and Image_df.py tests for Ubuntu 14 (microsoft#149)

* * Fixed the script for generating the documentation (microsoft#144)

* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts

* Rename time_series package to timeseries. (microsoft#150)

* Initial checkin

* Move to Hosted Mac pool

* Manually copied naming changes over from master.

* merge master to temp/docs for updating the documentation  (microsoft#134)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Merge branch 'documentation' into temp/docs (microsoft#143)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Fixed the issue when generating the documentation guide and concepts

* Moved _static to the right folder, and change PY36 to PY37 now

* Made it work with Python3.6

* Put long running tests in to their own folder to shorten build times. (microsoft#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Added undersocres to the files of time series
Stephen0620 added a commit to Stephen0620/NimbusML that referenced this issue Jul 4, 2019
@Stephen0620
Fixed estimator checks failed from ssa_forecasting's update (microsof…
9c42f06 
…t#166)

* Update readme with latest feedback (microsoft#39)

Updating readme with latest feedback.

* Add THIRD-PARTY-NOTICES.txt and move CONTRIBUTING.md to root. (microsoft#40)

* Initial checkin

* Move to Hosted Mac pool

* Update README.md

* Manually copied naming changes over from master.

* Revert "Merge remote-tracking branch 'upstream/temp/docs'"

This reverts commit 93c7347, reversing
changes made to 2350069.

* Improve documentation regarding contributors.

* Fix email address.

* Create CODE_OF_CONDUCT.md

* Update issue templates

* Create PULL_REQUEST_TEMPLATE.md

* Update issue templates

* Update issue templates

* Update issue templates

* Fixing link in CONTRIBUTING.md (microsoft#44)

* Update contributing.md link. (microsoft#43)

* Initial checkin for ML.NET 0.7 upgrade

* fix tests

* put back columndropper

* fix tests

* Update scikit-learn links to use https instead of http

* restart dotnetcore2 package work

* fix build

* fix mac & linux

* fix build

* fix build

* dbg build

* fix build

* fix build

* handle py 2.7

* handle py27

* fix py27

* fix build

* fix build

* fix build

* ensure dependencies

* ignore exceptions from ensure dependencies

* up version

* Update cv.py

add case for X is data frame

* Update cv.py

add a space

* add a test for cv with data frame

* set DOTNET_SYSTEM_GLOBALIZATION_INVARIANT to true to fix app domain error

* fix build

* up version

* Add instructions for editing docstrings. (microsoft#51)

* Add instructions for editing docstrings.

* Add footnote giving more information.

* Fix build failures caused by dotnetcore2 module. (microsoft#67)

* Fix importing of the dotnetcore2 module because it has inconsistent folder naming.

* Fix file check for unix platforms.

* Fix indentation levels.

* Reduce number of build legs for PR validations and add nightly build definition with more robust build matrix. (microsoft#69)

* Increase version to 0.6.5. (microsoft#71)

* Update clr helper function to search multiple folders for clr binaries. (microsoft#72)

* Update clr helper function to search multiple folders for clr binaries.

* Moved responsiblity for Python version checking to utility functions.

* Add clarifying comments.

* Fix call to get_nimbusml_libs()

* fix drop column param name

* Remove restricted permissions on build.sh script.

* Fix lightgbm test failures by updating runtime dependencies.

* fix TensorFlowScorer model_location paramter name

* Fix build.sh defaults so that it detects when running on a mac.

* Since OneHotHashVectorizer is broken for output kind Key in ML.NET 0.7, usse ToKey() for unit tests

* fix tests

* fix pyproj test

* fix win 3.6 build

* fix comments

* expose "parallel" to the fit/fit_transform function by including **param to the argument

* add a test for the parallel

* update parallel thread

* fix tests comparison

* Update thread, retry build

* modify tests

* specify pytest-cov version

* update pytest-cov version in build command for linux

* for windows use the latest pytest-cov

* Enabled strong naming for DoNetBridge.dll (to be used for InternalsVisibleTo in ML.NET)

* Changed the keys to be the same as other internal repos

* Changed the key filename

* Update to ML.NET 0.10.preview (microsoft#77)

* Updating ML.NET nugets to latest 0.9 preview.

* --generate_entrypoints phase 1

* Fixed Models.CrossValidator

* Updated all entrypoints

* New manifest.json, picket from Monte's branch

* Updated API codegen

* Replace ISchema and SchemaImpl with Schema and SchemaBuilder.

* Revert "Replace ISchema and SchemaImpl with Schema and SchemaBuilder."

This reverts commit dcd749d.

* Refactor IRowCursor to RowCursor.

* Update ML.NET version in build.csproj.

* Update manifest.json to ml.net commit 92e762686989215ddf45d9db3f0a1c989ee54d11

* Updated RunGraph.cs to ml.net 0.10

* Refactor Vbuffer

* Added override to RowCursor methods

* Update to NimbusML-privileged nugets from ML.NET.

* Update to Microsoft.ML namespace without Runtime.

* Schema and VBuffer fixes in NativeDataInterop.

* API fixes for IRandom and IsText in RmlEnvironment and NativeDataView.

* Work on getting VBuffer pointers from Spans.

* Some VBuffer fixes

* fix some class names

* Fix Register Assembly names.

* Remove ML.PipelineInference

* fixed more classes

* Add back columndropper for backward compatability.

* Register Entrypoints assembly in environment.

* Fix homebrew update problem on VS Hosted Mac images.

* Updated all the nuget versions to be the same.

* Attempt to fix the dataframe unit tests

* Fixed test_pyproj

* Optimized VBuffer changes

* Changed bridge version value to 0.10

* Addressed PR comments

* Simplify by using six.string_types (microsoft#89)

* Simplify by using six.string_types

* Force a retest

* Removed ISchema from DotNetBridge (microsoft#90)

* Removed ISchema

* Fixed the tests

* Addressed PR comments

* Addressed Wei-Sheng's comments about documenting the purpose of Column.DetachedColumn.

* add configuration for python 3.7 (microsoft#101)

* add configuration for python 3.7

* fix broken unit test

* Update build.sh

* fix build for Windows

* Linux py3.7 build

* fix pytest version

* upgrade pytest

* fix pytest-cov version

* fix isinstance(., int) for python 2.7

* build urls for Mac

* final fixes

* fix libomp

* Removing 3.7 for now as its not in PyPI

* Upgrade to ML.NET version 1.0.0 (microsoft#100)

* ref v0.10 ML.NET

* fix build

* hook up to v0.11.0 ML.NET

* fix build errors

* fix build

* include Microsoft.Data.DataView.dll in build

* typo

* remove protobuf dll

* Regenerate code due to manifest changes

* fix missing ep

* Update to ML.NET 1.0.0-preview

* fix .net build

* update nuget for ML.NET

* remove Data namespace dll

* rollback nuget changes

* move to final RC ML.NET

* Regenerate classes as per updated manifest

* fix maximum_number_of_iterations param name

* fix parameter names

* fix names

* reference official v1.0 of ML.NET

* fix tests

* fix label column

* Fix tests

* fix lightgbm tests

* fix OLS

* fix tests

* fix more tests

* fix more tests

* fix weight column name

* more tests

* fix normalized metrics

* more errors

* Fix CV

* rename feature_column to feature_column_name

* fix cv ranker

* Fix lightgbm tests

* fix changes due to upgrade of NGramFeaturizer

* fix ngram featurizer

* fix FactorizationMachine assert error

* disable test which is not working now due to change in LightGbm version

* fix model name

* typo

* handle nan in arrays

* fix tests

* fix tests

* fix more tests

* fix data type

* fix AUC exception

* kick the build

* fix tests due to data change

* fix ngram test

* fix mutual info tests

* copy libiomp lib

* fix mac build

* disable SymSgdNative for now

* disable SymSgdBinary classifier tests for Linux

* fix linux tests

* fix linux tests

* try linux

* fix linux

* skip SymSgdBinaryClassifier checks

* fix entrypoint compiler

* fix entry point generation

* fix example tests run

* fix typo

* fix documentation regression

* fix parameter name

* fix examples

* fix examples

* fix tests

* fix tests

* fix linux

* kick build

* Fix code_fixer

* fix skip take filters

* fix estimator checks

* Fix latest Windows build issues. (microsoft#105)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Fixes microsoft#50 - summary() fails if called a second time. (microsoft#107)

* Fixes microsoft#50 - summary() fails if called a second time.

* Fixes microsoft#99. Do not use hardcoded file separator. (microsoft#108)

Fixes microsoft#99. Do not use hard coded file separator.

* Delete the cached summaries when refitting a pipeline or a predictor. (microsoft#109)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes microsoft#106

* Simplify the code that deletes cached summaries when calling fit.

* Fix signature import error when using latest version of scikit-learn. (microsoft#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes microsoft#111

* Move the conditional import of the signature method in to the utils package.

* Package System.Drawing.Common.dll as its missing in dotnetcore2 (microsoft#120)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade the pytest-remotedata package to fix missing attribute error. (microsoft#121)

* Upgrade the pytest-remotedata package to fix missing attribute error.
Fixes microsoft#117

* Remove the RlsMacPy3.6 configuration from .vsts-ci.yml.

* Upgrade version (microsoft#122)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade version

* Support quoted strings by default (microsoft#124)

* upgrade to ML.NET 1.1 (microsoft#126)

* upgrade to ML.NET 1.1

* by default quote is +

* assert changes due to quote

* fix tensor flow example

* Put long running tests in to their own folder to shorten build times. (microsoft#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Expose ML.NET SSA & IID spike & changepoint detectors. (microsoft#135)

* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.

* Import the Microsoft.ML.TimeSeries assembly in to the project.

* Use 'PassAs' in manifest.json to fix the source parameter name.

* Use float32 for data dtype in IidSpikeDetector example.

* Convert IidSpikeDetector to a standard transform. Add examples and tests.

* Add pre-transform to IidSpikeDetector to fix incompatible data types.

* Fix issues with the test_estimator_checks IidSpikeDetector tests.

* Remove unnecessary TypeConverter import in IidSpikeDetector example.

* Initial implementation of IidChangePointDetector.

* Initial implementation of SsaSpikeDetector.

* Initial implementation of SsaChangePointDetector.

* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.

* Fix a few minor issues with time series unit tests and examples. (microsoft#139)

* Skip Image.py and Image_df.py tests for Ubuntu 14 (microsoft#149)

* * Fixed the script for generating the documentation (microsoft#144)

* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts

* Rename time_series package to timeseries. (microsoft#150)

* Fixed the ModuleNotFound error when importing time series

* Fixed the issue of Ubuntu14 not skipping Image.py and Image_df.py (microsoft#161)

* Updated CharTokenizer.py example (microsoft#153)

* Initial checkin

* Move to Hosted Mac pool

* Manually copied naming changes over from master.

* merge master to temp/docs for updating the documentation  (microsoft#134)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Merge branch 'documentation' into temp/docs (microsoft#143)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Fixed the issue when generating the documentation guide and concepts

* Moved _static to the right folder, and change PY36 to PY37 now

* Made it work with Python3.6

* Put long running tests in to their own folder to shorten build times. (microsoft#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Fixed the ModuleNotFound error when importing time series

* Initial test of the new SsaForecaster entry point.

* Update SsaForecaster to use the most recent version of the entry point in ml.net.

* Skip the test_estimator_checks for not since the ml.net binaries
which are included with nimbusml do not have the most recent
SsaForecasting entry point code.

* Documenation of SSA_Forecasting

* Force CI re-run. It appears the Mac system went down before it could finish.

* Start another CI run.

* Skip CharTokenizer.py for extended tests (microsoft#163)

* Add support for returning custom values when overriding Pipeline.predict. (microsoft#155)

* Added _ssaforecaster to pyproj file
Stephen0620 added a commit to Stephen0620/NimbusML that referenced this issue Jul 4, 2019
@Stephen0620
Updated the documentation for time series (microsoft#158)
a699cce 
* Update readme with latest feedback (microsoft#39)

Updating readme with latest feedback.

* Add THIRD-PARTY-NOTICES.txt and move CONTRIBUTING.md to root. (microsoft#40)

* Initial checkin

* Move to Hosted Mac pool

* Update README.md

* Manually copied naming changes over from master.

* Revert "Merge remote-tracking branch 'upstream/temp/docs'"

This reverts commit 93c7347, reversing
changes made to 2350069.

* Improve documentation regarding contributors.

* Fix email address.

* Create CODE_OF_CONDUCT.md

* Update issue templates

* Create PULL_REQUEST_TEMPLATE.md

* Update issue templates

* Update issue templates

* Update issue templates

* Fixing link in CONTRIBUTING.md (microsoft#44)

* Update contributing.md link. (microsoft#43)

* Initial checkin for ML.NET 0.7 upgrade

* fix tests

* put back columndropper

* fix tests

* Update scikit-learn links to use https instead of http

* restart dotnetcore2 package work

* fix build

* fix mac & linux

* fix build

* fix build

* dbg build

* fix build

* fix build

* handle py 2.7

* handle py27

* fix py27

* fix build

* fix build

* fix build

* ensure dependencies

* ignore exceptions from ensure dependencies

* up version

* Update cv.py

add case for X is data frame

* Update cv.py

add a space

* add a test for cv with data frame

* set DOTNET_SYSTEM_GLOBALIZATION_INVARIANT to true to fix app domain error

* fix build

* up version

* Add instructions for editing docstrings. (microsoft#51)

* Add instructions for editing docstrings.

* Add footnote giving more information.

* Fix build failures caused by dotnetcore2 module. (microsoft#67)

* Fix importing of the dotnetcore2 module because it has inconsistent folder naming.

* Fix file check for unix platforms.

* Fix indentation levels.

* Reduce number of build legs for PR validations and add nightly build definition with more robust build matrix. (microsoft#69)

* Increase version to 0.6.5. (microsoft#71)

* Update clr helper function to search multiple folders for clr binaries. (microsoft#72)

* Update clr helper function to search multiple folders for clr binaries.

* Moved responsiblity for Python version checking to utility functions.

* Add clarifying comments.

* Fix call to get_nimbusml_libs()

* fix drop column param name

* Remove restricted permissions on build.sh script.

* Fix lightgbm test failures by updating runtime dependencies.

* fix TensorFlowScorer model_location paramter name

* Fix build.sh defaults so that it detects when running on a mac.

* Since OneHotHashVectorizer is broken for output kind Key in ML.NET 0.7, usse ToKey() for unit tests

* fix tests

* fix pyproj test

* fix win 3.6 build

* fix comments

* expose "parallel" to the fit/fit_transform function by including **param to the argument

* add a test for the parallel

* update parallel thread

* fix tests comparison

* Update thread, retry build

* modify tests

* specify pytest-cov version

* update pytest-cov version in build command for linux

* for windows use the latest pytest-cov

* Enabled strong naming for DoNetBridge.dll (to be used for InternalsVisibleTo in ML.NET)

* Changed the keys to be the same as other internal repos

* Changed the key filename

* Update to ML.NET 0.10.preview (microsoft#77)

* Updating ML.NET nugets to latest 0.9 preview.

* --generate_entrypoints phase 1

* Fixed Models.CrossValidator

* Updated all entrypoints

* New manifest.json, picket from Monte's branch

* Updated API codegen

* Replace ISchema and SchemaImpl with Schema and SchemaBuilder.

* Revert "Replace ISchema and SchemaImpl with Schema and SchemaBuilder."

This reverts commit dcd749d.

* Refactor IRowCursor to RowCursor.

* Update ML.NET version in build.csproj.

* Update manifest.json to ml.net commit 92e762686989215ddf45d9db3f0a1c989ee54d11

* Updated RunGraph.cs to ml.net 0.10

* Refactor Vbuffer

* Added override to RowCursor methods

* Update to NimbusML-privileged nugets from ML.NET.

* Update to Microsoft.ML namespace without Runtime.

* Schema and VBuffer fixes in NativeDataInterop.

* API fixes for IRandom and IsText in RmlEnvironment and NativeDataView.

* Work on getting VBuffer pointers from Spans.

* Some VBuffer fixes

* fix some class names

* Fix Register Assembly names.

* Remove ML.PipelineInference

* fixed more classes

* Add back columndropper for backward compatability.

* Register Entrypoints assembly in environment.

* Fix homebrew update problem on VS Hosted Mac images.

* Updated all the nuget versions to be the same.

* Attempt to fix the dataframe unit tests

* Fixed test_pyproj

* Optimized VBuffer changes

* Changed bridge version value to 0.10

* Addressed PR comments

* Simplify by using six.string_types (microsoft#89)

* Simplify by using six.string_types

* Force a retest

* Removed ISchema from DotNetBridge (microsoft#90)

* Removed ISchema

* Fixed the tests

* Addressed PR comments

* Addressed Wei-Sheng's comments about documenting the purpose of Column.DetachedColumn.

* add configuration for python 3.7 (microsoft#101)

* add configuration for python 3.7

* fix broken unit test

* Update build.sh

* fix build for Windows

* Linux py3.7 build

* fix pytest version

* upgrade pytest

* fix pytest-cov version

* fix isinstance(., int) for python 2.7

* build urls for Mac

* final fixes

* fix libomp

* Removing 3.7 for now as its not in PyPI

* Upgrade to ML.NET version 1.0.0 (microsoft#100)

* ref v0.10 ML.NET

* fix build

* hook up to v0.11.0 ML.NET

* fix build errors

* fix build

* include Microsoft.Data.DataView.dll in build

* typo

* remove protobuf dll

* Regenerate code due to manifest changes

* fix missing ep

* Update to ML.NET 1.0.0-preview

* fix .net build

* update nuget for ML.NET

* remove Data namespace dll

* rollback nuget changes

* move to final RC ML.NET

* Regenerate classes as per updated manifest

* fix maximum_number_of_iterations param name

* fix parameter names

* fix names

* reference official v1.0 of ML.NET

* fix tests

* fix label column

* Fix tests

* fix lightgbm tests

* fix OLS

* fix tests

* fix more tests

* fix more tests

* fix weight column name

* more tests

* fix normalized metrics

* more errors

* Fix CV

* rename feature_column to feature_column_name

* fix cv ranker

* Fix lightgbm tests

* fix changes due to upgrade of NGramFeaturizer

* fix ngram featurizer

* fix FactorizationMachine assert error

* disable test which is not working now due to change in LightGbm version

* fix model name

* typo

* handle nan in arrays

* fix tests

* fix tests

* fix more tests

* fix data type

* fix AUC exception

* kick the build

* fix tests due to data change

* fix ngram test

* fix mutual info tests

* copy libiomp lib

* fix mac build

* disable SymSgdNative for now

* disable SymSgdBinary classifier tests for Linux

* fix linux tests

* fix linux tests

* try linux

* fix linux

* skip SymSgdBinaryClassifier checks

* fix entrypoint compiler

* fix entry point generation

* fix example tests run

* fix typo

* fix documentation regression

* fix parameter name

* fix examples

* fix examples

* fix tests

* fix tests

* fix linux

* kick build

* Fix code_fixer

* fix skip take filters

* fix estimator checks

* Fix latest Windows build issues. (microsoft#105)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Fixes microsoft#50 - summary() fails if called a second time. (microsoft#107)

* Fixes microsoft#50 - summary() fails if called a second time.

* Fixes microsoft#99. Do not use hardcoded file separator. (microsoft#108)

Fixes microsoft#99. Do not use hard coded file separator.

* Delete the cached summaries when refitting a pipeline or a predictor. (microsoft#109)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes microsoft#106

* Simplify the code that deletes cached summaries when calling fit.

* Fix signature import error when using latest version of scikit-learn. (microsoft#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes microsoft#111

* Move the conditional import of the signature method in to the utils package.

* Package System.Drawing.Common.dll as its missing in dotnetcore2 (microsoft#120)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade the pytest-remotedata package to fix missing attribute error. (microsoft#121)

* Upgrade the pytest-remotedata package to fix missing attribute error.
Fixes microsoft#117

* Remove the RlsMacPy3.6 configuration from .vsts-ci.yml.

* Upgrade version (microsoft#122)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade version

* Support quoted strings by default (microsoft#124)

* upgrade to ML.NET 1.1 (microsoft#126)

* upgrade to ML.NET 1.1

* by default quote is +

* assert changes due to quote

* fix tensor flow example

* Put long running tests in to their own folder to shorten build times. (microsoft#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Expose ML.NET SSA & IID spike & changepoint detectors. (microsoft#135)

* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.

* Import the Microsoft.ML.TimeSeries assembly in to the project.

* Use 'PassAs' in manifest.json to fix the source parameter name.

* Use float32 for data dtype in IidSpikeDetector example.

* Convert IidSpikeDetector to a standard transform. Add examples and tests.

* Add pre-transform to IidSpikeDetector to fix incompatible data types.

* Fix issues with the test_estimator_checks IidSpikeDetector tests.

* Remove unnecessary TypeConverter import in IidSpikeDetector example.

* Initial implementation of IidChangePointDetector.

* Initial implementation of SsaSpikeDetector.

* Initial implementation of SsaChangePointDetector.

* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.

* Fix a few minor issues with time series unit tests and examples. (microsoft#139)

* Skip Image.py and Image_df.py tests for Ubuntu 14 (microsoft#149)

* * Fixed the script for generating the documentation (microsoft#144)

* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts

* Rename time_series package to timeseries. (microsoft#150)

* Initial checkin

* Move to Hosted Mac pool

* Manually copied naming changes over from master.

* merge master to temp/docs for updating the documentation  (microsoft#134)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Merge branch 'documentation' into temp/docs (microsoft#143)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Fixed the issue when generating the documentation guide and concepts

* Moved _static to the right folder, and change PY36 to PY37 now

* Made it work with Python3.6

* Put long running tests in to their own folder to shorten build times. (microsoft#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Added undersocres to the files of time series
Stephen0620 added a commit to Stephen0620/NimbusML that referenced this issue Jul 4, 2019
@Stephen0620
Fixed estimator checks failed from ssa_forecasting's update (microsof…
e519421 
…t#166)

* Update readme with latest feedback (microsoft#39)

Updating readme with latest feedback.

* Add THIRD-PARTY-NOTICES.txt and move CONTRIBUTING.md to root. (microsoft#40)

* Initial checkin

* Move to Hosted Mac pool

* Update README.md

* Manually copied naming changes over from master.

* Revert "Merge remote-tracking branch 'upstream/temp/docs'"

This reverts commit 93c7347, reversing
changes made to 2350069.

* Improve documentation regarding contributors.

* Fix email address.

* Create CODE_OF_CONDUCT.md

* Update issue templates

* Create PULL_REQUEST_TEMPLATE.md

* Update issue templates

* Update issue templates

* Update issue templates

* Fixing link in CONTRIBUTING.md (microsoft#44)

* Update contributing.md link. (microsoft#43)

* Initial checkin for ML.NET 0.7 upgrade

* fix tests

* put back columndropper

* fix tests

* Update scikit-learn links to use https instead of http

* restart dotnetcore2 package work

* fix build

* fix mac & linux

* fix build

* fix build

* dbg build

* fix build

* fix build

* handle py 2.7

* handle py27

* fix py27

* fix build

* fix build

* fix build

* ensure dependencies

* ignore exceptions from ensure dependencies

* up version

* Update cv.py

add case for X is data frame

* Update cv.py

add a space

* add a test for cv with data frame

* set DOTNET_SYSTEM_GLOBALIZATION_INVARIANT to true to fix app domain error

* fix build

* up version

* Add instructions for editing docstrings. (microsoft#51)

* Add instructions for editing docstrings.

* Add footnote giving more information.

* Fix build failures caused by dotnetcore2 module. (microsoft#67)

* Fix importing of the dotnetcore2 module because it has inconsistent folder naming.

* Fix file check for unix platforms.

* Fix indentation levels.

* Reduce number of build legs for PR validations and add nightly build definition with more robust build matrix. (microsoft#69)

* Increase version to 0.6.5. (microsoft#71)

* Update clr helper function to search multiple folders for clr binaries. (microsoft#72)

* Update clr helper function to search multiple folders for clr binaries.

* Moved responsiblity for Python version checking to utility functions.

* Add clarifying comments.

* Fix call to get_nimbusml_libs()

* fix drop column param name

* Remove restricted permissions on build.sh script.

* Fix lightgbm test failures by updating runtime dependencies.

* fix TensorFlowScorer model_location paramter name

* Fix build.sh defaults so that it detects when running on a mac.

* Since OneHotHashVectorizer is broken for output kind Key in ML.NET 0.7, usse ToKey() for unit tests

* fix tests

* fix pyproj test

* fix win 3.6 build

* fix comments

* expose "parallel" to the fit/fit_transform function by including **param to the argument

* add a test for the parallel

* update parallel thread

* fix tests comparison

* Update thread, retry build

* modify tests

* specify pytest-cov version

* update pytest-cov version in build command for linux

* for windows use the latest pytest-cov

* Enabled strong naming for DoNetBridge.dll (to be used for InternalsVisibleTo in ML.NET)

* Changed the keys to be the same as other internal repos

* Changed the key filename

* Update to ML.NET 0.10.preview (microsoft#77)

* Updating ML.NET nugets to latest 0.9 preview.

* --generate_entrypoints phase 1

* Fixed Models.CrossValidator

* Updated all entrypoints

* New manifest.json, picket from Monte's branch

* Updated API codegen

* Replace ISchema and SchemaImpl with Schema and SchemaBuilder.

* Revert "Replace ISchema and SchemaImpl with Schema and SchemaBuilder."

This reverts commit dcd749d.

* Refactor IRowCursor to RowCursor.

* Update ML.NET version in build.csproj.

* Update manifest.json to ml.net commit 92e762686989215ddf45d9db3f0a1c989ee54d11

* Updated RunGraph.cs to ml.net 0.10

* Refactor Vbuffer

* Added override to RowCursor methods

* Update to NimbusML-privileged nugets from ML.NET.

* Update to Microsoft.ML namespace without Runtime.

* Schema and VBuffer fixes in NativeDataInterop.

* API fixes for IRandom and IsText in RmlEnvironment and NativeDataView.

* Work on getting VBuffer pointers from Spans.

* Some VBuffer fixes

* fix some class names

* Fix Register Assembly names.

* Remove ML.PipelineInference

* fixed more classes

* Add back columndropper for backward compatability.

* Register Entrypoints assembly in environment.

* Fix homebrew update problem on VS Hosted Mac images.

* Updated all the nuget versions to be the same.

* Attempt to fix the dataframe unit tests

* Fixed test_pyproj

* Optimized VBuffer changes

* Changed bridge version value to 0.10

* Addressed PR comments

* Simplify by using six.string_types (microsoft#89)

* Simplify by using six.string_types

* Force a retest

* Removed ISchema from DotNetBridge (microsoft#90)

* Removed ISchema

* Fixed the tests

* Addressed PR comments

* Addressed Wei-Sheng's comments about documenting the purpose of Column.DetachedColumn.

* add configuration for python 3.7 (microsoft#101)

* add configuration for python 3.7

* fix broken unit test

* Update build.sh

* fix build for Windows

* Linux py3.7 build

* fix pytest version

* upgrade pytest

* fix pytest-cov version

* fix isinstance(., int) for python 2.7

* build urls for Mac

* final fixes

* fix libomp

* Removing 3.7 for now as its not in PyPI

* Upgrade to ML.NET version 1.0.0 (microsoft#100)

* ref v0.10 ML.NET

* fix build

* hook up to v0.11.0 ML.NET

* fix build errors

* fix build

* include Microsoft.Data.DataView.dll in build

* typo

* remove protobuf dll

* Regenerate code due to manifest changes

* fix missing ep

* Update to ML.NET 1.0.0-preview

* fix .net build

* update nuget for ML.NET

* remove Data namespace dll

* rollback nuget changes

* move to final RC ML.NET

* Regenerate classes as per updated manifest

* fix maximum_number_of_iterations param name

* fix parameter names

* fix names

* reference official v1.0 of ML.NET

* fix tests

* fix label column

* Fix tests

* fix lightgbm tests

* fix OLS

* fix tests

* fix more tests

* fix more tests

* fix weight column name

* more tests

* fix normalized metrics

* more errors

* Fix CV

* rename feature_column to feature_column_name

* fix cv ranker

* Fix lightgbm tests

* fix changes due to upgrade of NGramFeaturizer

* fix ngram featurizer

* fix FactorizationMachine assert error

* disable test which is not working now due to change in LightGbm version

* fix model name

* typo

* handle nan in arrays

* fix tests

* fix tests

* fix more tests

* fix data type

* fix AUC exception

* kick the build

* fix tests due to data change

* fix ngram test

* fix mutual info tests

* copy libiomp lib

* fix mac build

* disable SymSgdNative for now

* disable SymSgdBinary classifier tests for Linux

* fix linux tests

* fix linux tests

* try linux

* fix linux

* skip SymSgdBinaryClassifier checks

* fix entrypoint compiler

* fix entry point generation

* fix example tests run

* fix typo

* fix documentation regression

* fix parameter name

* fix examples

* fix examples

* fix tests

* fix tests

* fix linux

* kick build

* Fix code_fixer

* fix skip take filters

* fix estimator checks

* Fix latest Windows build issues. (microsoft#105)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Fixes microsoft#50 - summary() fails if called a second time. (microsoft#107)

* Fixes microsoft#50 - summary() fails if called a second time.

* Fixes microsoft#99. Do not use hardcoded file separator. (microsoft#108)

Fixes microsoft#99. Do not use hard coded file separator.

* Delete the cached summaries when refitting a pipeline or a predictor. (microsoft#109)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes microsoft#106

* Simplify the code that deletes cached summaries when calling fit.

* Fix signature import error when using latest version of scikit-learn. (microsoft#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes microsoft#111

* Move the conditional import of the signature method in to the utils package.

* Package System.Drawing.Common.dll as its missing in dotnetcore2 (microsoft#120)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade the pytest-remotedata package to fix missing attribute error. (microsoft#121)

* Upgrade the pytest-remotedata package to fix missing attribute error.
Fixes microsoft#117

* Remove the RlsMacPy3.6 configuration from .vsts-ci.yml.

* Upgrade version (microsoft#122)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade version

* Support quoted strings by default (microsoft#124)

* upgrade to ML.NET 1.1 (microsoft#126)

* upgrade to ML.NET 1.1

* by default quote is +

* assert changes due to quote

* fix tensor flow example

* Put long running tests in to their own folder to shorten build times. (microsoft#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Expose ML.NET SSA & IID spike & changepoint detectors. (microsoft#135)

* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.

* Import the Microsoft.ML.TimeSeries assembly in to the project.

* Use 'PassAs' in manifest.json to fix the source parameter name.

* Use float32 for data dtype in IidSpikeDetector example.

* Convert IidSpikeDetector to a standard transform. Add examples and tests.

* Add pre-transform to IidSpikeDetector to fix incompatible data types.

* Fix issues with the test_estimator_checks IidSpikeDetector tests.

* Remove unnecessary TypeConverter import in IidSpikeDetector example.

* Initial implementation of IidChangePointDetector.

* Initial implementation of SsaSpikeDetector.

* Initial implementation of SsaChangePointDetector.

* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.

* Fix a few minor issues with time series unit tests and examples. (microsoft#139)

* Skip Image.py and Image_df.py tests for Ubuntu 14 (microsoft#149)

* * Fixed the script for generating the documentation (microsoft#144)

* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts

* Rename time_series package to timeseries. (microsoft#150)

* Fixed the ModuleNotFound error when importing time series

* Fixed the issue of Ubuntu14 not skipping Image.py and Image_df.py (microsoft#161)

* Updated CharTokenizer.py example (microsoft#153)

* Initial checkin

* Move to Hosted Mac pool

* Manually copied naming changes over from master.

* merge master to temp/docs for updating the documentation  (microsoft#134)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Merge branch 'documentation' into temp/docs (microsoft#143)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Fixed the issue when generating the documentation guide and concepts

* Moved _static to the right folder, and change PY36 to PY37 now

* Made it work with Python3.6

* Put long running tests in to their own folder to shorten build times. (microsoft#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Fixed the ModuleNotFound error when importing time series

* Initial test of the new SsaForecaster entry point.

* Update SsaForecaster to use the most recent version of the entry point in ml.net.

* Skip the test_estimator_checks for not since the ml.net binaries
which are included with nimbusml do not have the most recent
SsaForecasting entry point code.

* Documenation of SSA_Forecasting

* Force CI re-run. It appears the Mac system went down before it could finish.

* Start another CI run.

* Skip CharTokenizer.py for extended tests (microsoft#163)

* Add support for returning custom values when overriding Pipeline.predict. (microsoft#155)

* Added _ssaforecaster to pyproj file
Stephen0620 added a commit that referenced this issue Jul 5, 2019
@Stephen0620
Update the documentation of 1.2 release (#176)
a1a21c1 
* Update readme with latest feedback (#39)

Updating readme with latest feedback.

* Add THIRD-PARTY-NOTICES.txt and move CONTRIBUTING.md to root. (#40)

* Initial checkin

* Move to Hosted Mac pool

* Update README.md

* Manually copied naming changes over from master.

* Revert "Merge remote-tracking branch 'upstream/temp/docs'"

This reverts commit 93c7347, reversing
changes made to 2350069.

* Improve documentation regarding contributors.

* Fix email address.

* Create CODE_OF_CONDUCT.md

* Update issue templates

* Create PULL_REQUEST_TEMPLATE.md

* Update issue templates

* Update issue templates

* Update issue templates

* Fixing link in CONTRIBUTING.md (#44)

* Update contributing.md link. (#43)

* Initial checkin for ML.NET 0.7 upgrade

* fix tests

* put back columndropper

* fix tests

* Update scikit-learn links to use https instead of http

* restart dotnetcore2 package work

* fix build

* fix mac & linux

* fix build

* fix build

* dbg build

* fix build

* fix build

* handle py 2.7

* handle py27

* fix py27

* fix build

* fix build

* fix build

* ensure dependencies

* ignore exceptions from ensure dependencies

* up version

* Update cv.py

add case for X is data frame

* Update cv.py

add a space

* add a test for cv with data frame

* set DOTNET_SYSTEM_GLOBALIZATION_INVARIANT to true to fix app domain error

* fix build

* up version

* Add instructions for editing docstrings. (#51)

* Add instructions for editing docstrings.

* Add footnote giving more information.

* Fix build failures caused by dotnetcore2 module. (#67)

* Fix importing of the dotnetcore2 module because it has inconsistent folder naming.

* Fix file check for unix platforms.

* Fix indentation levels.

* Reduce number of build legs for PR validations and add nightly build definition with more robust build matrix. (#69)

* Increase version to 0.6.5. (#71)

* Update clr helper function to search multiple folders for clr binaries. (#72)

* Update clr helper function to search multiple folders for clr binaries.

* Moved responsiblity for Python version checking to utility functions.

* Add clarifying comments.

* Fix call to get_nimbusml_libs()

* fix drop column param name

* Remove restricted permissions on build.sh script.

* Fix lightgbm test failures by updating runtime dependencies.

* fix TensorFlowScorer model_location paramter name

* Fix build.sh defaults so that it detects when running on a mac.

* Since OneHotHashVectorizer is broken for output kind Key in ML.NET 0.7, usse ToKey() for unit tests

* fix tests

* fix pyproj test

* fix win 3.6 build

* fix comments

* expose "parallel" to the fit/fit_transform function by including **param to the argument

* add a test for the parallel

* update parallel thread

* fix tests comparison

* Update thread, retry build

* modify tests

* specify pytest-cov version

* update pytest-cov version in build command for linux

* for windows use the latest pytest-cov

* Enabled strong naming for DoNetBridge.dll (to be used for InternalsVisibleTo in ML.NET)

* Changed the keys to be the same as other internal repos

* Changed the key filename

* Update to ML.NET 0.10.preview (#77)

* Updating ML.NET nugets to latest 0.9 preview.

* --generate_entrypoints phase 1

* Fixed Models.CrossValidator

* Updated all entrypoints

* New manifest.json, picket from Monte's branch

* Updated API codegen

* Replace ISchema and SchemaImpl with Schema and SchemaBuilder.

* Revert "Replace ISchema and SchemaImpl with Schema and SchemaBuilder."

This reverts commit dcd749d.

* Refactor IRowCursor to RowCursor.

* Update ML.NET version in build.csproj.

* Update manifest.json to ml.net commit 92e762686989215ddf45d9db3f0a1c989ee54d11

* Updated RunGraph.cs to ml.net 0.10

* Refactor Vbuffer

* Added override to RowCursor methods

* Update to NimbusML-privileged nugets from ML.NET.

* Update to Microsoft.ML namespace without Runtime.

* Schema and VBuffer fixes in NativeDataInterop.

* API fixes for IRandom and IsText in RmlEnvironment and NativeDataView.

* Work on getting VBuffer pointers from Spans.

* Some VBuffer fixes

* fix some class names

* Fix Register Assembly names.

* Remove ML.PipelineInference

* fixed more classes

* Add back columndropper for backward compatability.

* Register Entrypoints assembly in environment.

* Fix homebrew update problem on VS Hosted Mac images.

* Updated all the nuget versions to be the same.

* Attempt to fix the dataframe unit tests

* Fixed test_pyproj

* Optimized VBuffer changes

* Changed bridge version value to 0.10

* Addressed PR comments

* Simplify by using six.string_types (#89)

* Simplify by using six.string_types

* Force a retest

* Removed ISchema from DotNetBridge (#90)

* Removed ISchema

* Fixed the tests

* Addressed PR comments

* Addressed Wei-Sheng's comments about documenting the purpose of Column.DetachedColumn.

* add configuration for python 3.7 (#101)

* add configuration for python 3.7

* fix broken unit test

* Update build.sh

* fix build for Windows

* Linux py3.7 build

* fix pytest version

* upgrade pytest

* fix pytest-cov version

* fix isinstance(., int) for python 2.7

* build urls for Mac

* final fixes

* fix libomp

* Removing 3.7 for now as its not in PyPI

* Upgrade to ML.NET version 1.0.0 (#100)

* ref v0.10 ML.NET

* fix build

* hook up to v0.11.0 ML.NET

* fix build errors

* fix build

* include Microsoft.Data.DataView.dll in build

* typo

* remove protobuf dll

* Regenerate code due to manifest changes

* fix missing ep

* Update to ML.NET 1.0.0-preview

* fix .net build

* update nuget for ML.NET

* remove Data namespace dll

* rollback nuget changes

* move to final RC ML.NET

* Regenerate classes as per updated manifest

* fix maximum_number_of_iterations param name

* fix parameter names

* fix names

* reference official v1.0 of ML.NET

* fix tests

* fix label column

* Fix tests

* fix lightgbm tests

* fix OLS

* fix tests

* fix more tests

* fix more tests

* fix weight column name

* more tests

* fix normalized metrics

* more errors

* Fix CV

* rename feature_column to feature_column_name

* fix cv ranker

* Fix lightgbm tests

* fix changes due to upgrade of NGramFeaturizer

* fix ngram featurizer

* fix FactorizationMachine assert error

* disable test which is not working now due to change in LightGbm version

* fix model name

* typo

* handle nan in arrays

* fix tests

* fix tests

* fix more tests

* fix data type

* fix AUC exception

* kick the build

* fix tests due to data change

* fix ngram test

* fix mutual info tests

* copy libiomp lib

* fix mac build

* disable SymSgdNative for now

* disable SymSgdBinary classifier tests for Linux

* fix linux tests

* fix linux tests

* try linux

* fix linux

* skip SymSgdBinaryClassifier checks

* fix entrypoint compiler

* fix entry point generation

* fix example tests run

* fix typo

* fix documentation regression

* fix parameter name

* fix examples

* fix examples

* fix tests

* fix tests

* fix linux

* kick build

* Fix code_fixer

* fix skip take filters

* fix estimator checks

* Fix latest Windows build issues. (#105)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Fixes #50 - summary() fails if called a second time. (#107)

* Fixes #50 - summary() fails if called a second time.

* Fixes #99. Do not use hardcoded file separator. (#108)

Fixes #99. Do not use hard coded file separator.

* Delete the cached summaries when refitting a pipeline or a predictor. (#109)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes #106

* Simplify the code that deletes cached summaries when calling fit.

* Fix signature import error when using latest version of scikit-learn. (#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes #111

* Move the conditional import of the signature method in to the utils package.

* Package System.Drawing.Common.dll as its missing in dotnetcore2 (#120)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade the pytest-remotedata package to fix missing attribute error. (#121)

* Upgrade the pytest-remotedata package to fix missing attribute error.
Fixes #117

* Remove the RlsMacPy3.6 configuration from .vsts-ci.yml.

* Upgrade version (#122)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade version

* Support quoted strings by default (#124)

* upgrade to ML.NET 1.1 (#126)

* upgrade to ML.NET 1.1

* by default quote is +

* assert changes due to quote

* fix tensor flow example

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Expose ML.NET SSA & IID spike & changepoint detectors. (#135)

* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.

* Import the Microsoft.ML.TimeSeries assembly in to the project.

* Use 'PassAs' in manifest.json to fix the source parameter name.

* Use float32 for data dtype in IidSpikeDetector example.

* Convert IidSpikeDetector to a standard transform. Add examples and tests.

* Add pre-transform to IidSpikeDetector to fix incompatible data types.

* Fix issues with the test_estimator_checks IidSpikeDetector tests.

* Remove unnecessary TypeConverter import in IidSpikeDetector example.

* Initial implementation of IidChangePointDetector.

* Initial implementation of SsaSpikeDetector.

* Initial implementation of SsaChangePointDetector.

* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.

* Fix a few minor issues with time series unit tests and examples. (#139)

* Skip Image.py and Image_df.py tests for Ubuntu 14 (#149)

* * Fixed the script for generating the documentation (#144)

* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts

* Rename time_series package to timeseries. (#150)

* Fixed the issue of Ubuntu14 not skipping Image.py and Image_df.py (#161)

* Updated CharTokenizer.py example (#153)

* Skip CharTokenizer.py for extended tests (#163)

* Add support for returning custom values when overriding Pipeline.predict. (#155)

* Initial creation of the release-next.md file. (#165)

* Initial creation of the release-next.md file.

* Point the time series example links to the head of the master branch.

* Initial implementation of the SsaForecaster entry point. (#164)

* Final updates for release 1.2.0 (#167)

* Update the LightGbm entry point with the latest version from the manifest.

* Add SsaForecasting examples to the release notes.

* Add documentation modification to the release notes.

* Create the official 1.2.0 release notes. They have been put in the
docs/release-notes folder to closely match the ml.net directory
structure.

* Add correct version to the release notes title.

* Re-enable the SsaForecaster tests.

* Update to the latest version of ml.net. Update the NimbusML version.

* Fix issues with the summary unit tests.

* Comment out the SymSgdBinaryClassifier summary test. It does not
appear to be working on linux.

* Revert change b5eb937 to see if it (#168)

fixes the signed build issue.

* Bring back build.cmd commit. It did not fix the signed build issue. (#169)

* Revert change b5eb937 to see if it
fixes the signed build issue.

* Bring back commit b5eb937. It did
not fixed the signed build issue.

* Bring back the build.cmd change from b5eb937. (#170)

It did not fix the signed build issue.

* Use restored dotnet CLI for signing (#171)

* Update README.md

* Initial checkin

* Move to Hosted Mac pool

* Manually copied naming changes over from master.

* merge master to temp/docs for updating the documentation  (#134)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Merge branch 'documentation' into temp/docs (#143)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Fixed the issue when generating the documentation guide and concepts

* Moved _static to the right folder, and change PY36 to PY37 now

* Made it work with Python3.6

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Updated the documentation for time series (#158)

* Update readme with latest feedback (#39)

Updating readme with latest feedback.

* Add THIRD-PARTY-NOTICES.txt and move CONTRIBUTING.md to root. (#40)

* Initial checkin

* Move to Hosted Mac pool

* Update README.md

* Manually copied naming changes over from master.

* Revert "Merge remote-tracking branch 'upstream/temp/docs'"

This reverts commit 93c7347, reversing
changes made to 2350069.

* Improve documentation regarding contributors.

* Fix email address.

* Create CODE_OF_CONDUCT.md

* Update issue templates

* Create PULL_REQUEST_TEMPLATE.md

* Update issue templates

* Update issue templates

* Update issue templates

* Fixing link in CONTRIBUTING.md (#44)

* Update contributing.md link. (#43)

* Initial checkin for ML.NET 0.7 upgrade

* fix tests

* put back columndropper

* fix tests

* Update scikit-learn links to use https instead of http

* restart dotnetcore2 package work

* fix build

* fix mac & linux

* fix build

* fix build

* dbg build

* fix build

* fix build

* handle py 2.7

* handle py27

* fix py27

* fix build

* fix build

* fix build

* ensure dependencies

* ignore exceptions from ensure dependencies

* up version

* Update cv.py

add case for X is data frame

* Update cv.py

add a space

* add a test for cv with data frame

* set DOTNET_SYSTEM_GLOBALIZATION_INVARIANT to true to fix app domain error

* fix build

* up version

* Add instructions for editing docstrings. (#51)

* Add instructions for editing docstrings.

* Add footnote giving more information.

* Fix build failures caused by dotnetcore2 module. (#67)

* Fix importing of the dotnetcore2 module because it has inconsistent folder naming.

* Fix file check for unix platforms.

* Fix indentation levels.

* Reduce number of build legs for PR validations and add nightly build definition with more robust build matrix. (#69)

* Increase version to 0.6.5. (#71)

* Update clr helper function to search multiple folders for clr binaries. (#72)

* Update clr helper function to search multiple folders for clr binaries.

* Moved responsiblity for Python version checking to utility functions.

* Add clarifying comments.

* Fix call to get_nimbusml_libs()

* fix drop column param name

* Remove restricted permissions on build.sh script.

* Fix lightgbm test failures by updating runtime dependencies.

* fix TensorFlowScorer model_location paramter name

* Fix build.sh defaults so that it detects when running on a mac.

* Since OneHotHashVectorizer is broken for output kind Key in ML.NET 0.7, usse ToKey() for unit tests

* fix tests

* fix pyproj test

* fix win 3.6 build

* fix comments

* expose "parallel" to the fit/fit_transform function by including **param to the argument

* add a test for the parallel

* update parallel thread

* fix tests comparison

* Update thread, retry build

* modify tests

* specify pytest-cov version

* update pytest-cov version in build command for linux

* for windows use the latest pytest-cov

* Enabled strong naming for DoNetBridge.dll (to be used for InternalsVisibleTo in ML.NET)

* Changed the keys to be the same as other internal repos

* Changed the key filename

* Update to ML.NET 0.10.preview (#77)

* Updating ML.NET nugets to latest 0.9 preview.

* --generate_entrypoints phase 1

* Fixed Models.CrossValidator

* Updated all entrypoints

* New manifest.json, picket from Monte's branch

* Updated API codegen

* Replace ISchema and SchemaImpl with Schema and SchemaBuilder.

* Revert "Replace ISchema and SchemaImpl with Schema and SchemaBuilder."

This reverts commit dcd749d.

* Refactor IRowCursor to RowCursor.

* Update ML.NET version in build.csproj.

* Update manifest.json to ml.net commit 92e762686989215ddf45d9db3f0a1c989ee54d11

* Updated RunGraph.cs to ml.net 0.10

* Refactor Vbuffer

* Added override to RowCursor methods

* Update to NimbusML-privileged nugets from ML.NET.

* Update to Microsoft.ML namespace without Runtime.

* Schema and VBuffer fixes in NativeDataInterop.

* API fixes for IRandom and IsText in RmlEnvironment and NativeDataView.

* Work on getting VBuffer pointers from Spans.

* Some VBuffer fixes

* fix some class names

* Fix Register Assembly names.

* Remove ML.PipelineInference

* fixed more classes

* Add back columndropper for backward compatability.

* Register Entrypoints assembly in environment.

* Fix homebrew update problem on VS Hosted Mac images.

* Updated all the nuget versions to be the same.

* Attempt to fix the dataframe unit tests

* Fixed test_pyproj

* Optimized VBuffer changes

* Changed bridge version value to 0.10

* Addressed PR comments

* Simplify by using six.string_types (#89)

* Simplify by using six.string_types

* Force a retest

* Removed ISchema from DotNetBridge (#90)

* Removed ISchema

* Fixed the tests

* Addressed PR comments

* Addressed Wei-Sheng's comments about documenting the purpose of Column.DetachedColumn.

* add configuration for python 3.7 (#101)

* add configuration for python 3.7

* fix broken unit test

* Update build.sh

* fix build for Windows

* Linux py3.7 build

* fix pytest version

* upgrade pytest

* fix pytest-cov version

* fix isinstance(., int) for python 2.7

* build urls for Mac

* final fixes

* fix libomp

* Removing 3.7 for now as its not in PyPI

* Upgrade to ML.NET version 1.0.0 (#100)

* ref v0.10 ML.NET

* fix build

* hook up to v0.11.0 ML.NET

* fix build errors

* fix build

* include Microsoft.Data.DataView.dll in build

* typo

* remove protobuf dll

* Regenerate code due to manifest changes

* fix missing ep

* Update to ML.NET 1.0.0-preview

* fix .net build

* update nuget for ML.NET

* remove Data namespace dll

* rollback nuget changes

* move to final RC ML.NET

* Regenerate classes as per updated manifest

* fix maximum_number_of_iterations param name

* fix parameter names

* fix names

* reference official v1.0 of ML.NET

* fix tests

* fix label column

* Fix tests

* fix lightgbm tests

* fix OLS

* fix tests

* fix more tests

* fix more tests

* fix weight column name

* more tests

* fix normalized metrics

* more errors

* Fix CV

* rename feature_column to feature_column_name

* fix cv ranker

* Fix lightgbm tests

* fix changes due to upgrade of NGramFeaturizer

* fix ngram featurizer

* fix FactorizationMachine assert error

* disable test which is not working now due to change in LightGbm version

* fix model name

* typo

* handle nan in arrays

* fix tests

* fix tests

* fix more tests

* fix data type

* fix AUC exception

* kick the build

* fix tests due to data change

* fix ngram test

* fix mutual info tests

* copy libiomp lib

* fix mac build

* disable SymSgdNative for now

* disable SymSgdBinary classifier tests for Linux

* fix linux tests

* fix linux tests

* try linux

* fix linux

* skip SymSgdBinaryClassifier checks

* fix entrypoint compiler

* fix entry point generation

* fix example tests run

* fix typo

* fix documentation regression

* fix parameter name

* fix examples

* fix examples

* fix tests

* fix tests

* fix linux

* kick build

* Fix code_fixer

* fix skip take filters

* fix estimator checks

* Fix latest Windows build issues. (#105)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Fixes #50 - summary() fails if called a second time. (#107)

* Fixes #50 - summary() fails if called a second time.

* Fixes #99. Do not use hardcoded file separator. (#108)

Fixes #99. Do not use hard coded file separator.

* Delete the cached summaries when refitting a pipeline or a predictor. (#109)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes #106

* Simplify the code that deletes cached summaries when calling fit.

* Fix signature import error when using latest version of scikit-learn. (#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes #111

* Move the conditional import of the signature method in to the utils package.

* Package System.Drawing.Common.dll as its missing in dotnetcore2 (#120)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade the pytest-remotedata package to fix missing attribute error. (#121)

* Upgrade the pytest-remotedata package to fix missing attribute error.
Fixes #117

* Remove the RlsMacPy3.6 configuration from .vsts-ci.yml.

* Upgrade version (#122)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade version

* Support quoted strings by default (#124)

* upgrade to ML.NET 1.1 (#126)

* upgrade to ML.NET 1.1

* by default quote is +

* assert changes due to quote

* fix tensor flow example

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Expose ML.NET SSA & IID spike & changepoint detectors. (#135)

* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.

* Import the Microsoft.ML.TimeSeries assembly in to the project.

* Use 'PassAs' in manifest.json to fix the source parameter name.

* Use float32 for data dtype in IidSpikeDetector example.

* Convert IidSpikeDetector to a standard transform. Add examples and tests.

* Add pre-transform to IidSpikeDetector to fix incompatible data types.

* Fix issues with the test_estimator_checks IidSpikeDetector tests.

* Remove unnecessary TypeConverter import in IidSpikeDetector example.

* Initial implementation of IidChangePointDetector.

* Initial implementation of SsaSpikeDetector.

* Initial implementation of SsaChangePointDetector.

* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.

* Fix a few minor issues with time series unit tests and examples. (#139)

* Skip Image.py and Image_df.py tests for Ubuntu 14 (#149)

* * Fixed the script for generating the documentation (#144)

* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts

* Rename time_series package to timeseries. (#150)

* Initial checkin

* Move to Hosted Mac pool

* Manually copied naming changes over from master.

* merge master to temp/docs for updating the documentation  (#134)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Merge branch 'documentation' into temp/docs (#143)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Fixed the issue when generating the documentation guide and concepts

* Moved _static to the right folder, and change PY36 to PY37 now

* Made it work with Python3.6

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Added undersocres to the files of time series

* Fixed estimator checks failed from ssa_forecasting's update (#166)

* Update readme with latest feedback (#39)

Updating readme with latest feedback.

* Add THIRD-PARTY-NOTICES.txt and move CONTRIBUTING.md to root. (#40)

* Initial checkin

* Move to Hosted Mac pool

* Update README.md

* Manually copied naming changes over from master.

* Revert "Merge remote-tracking branch 'upstream/temp/docs'"

This reverts commit 93c7347, reversing
changes made to 2350069.

* Improve documentation regarding contributors.

* Fix email address.

* Create CODE_OF_CONDUCT.md

* Update issue templates

* Create PULL_REQUEST_TEMPLATE.md

* Update issue templates

* Update issue templates

* Update issue templates

* Fixing link in CONTRIBUTING.md (#44)

* Update contributing.md link. (#43)

* Initial checkin for ML.NET 0.7 upgrade

* fix tests

* put back columndropper

* fix tests

* Update scikit-learn links to use https instead of http

* restart dotnetcore2 package work

* fix build

* fix mac & linux

* fix build

* fix build

* dbg build

* fix build

* fix build

* handle py 2.7

* handle py27

* fix py27

* fix build

* fix build

* fix build

* ensure dependencies

* ignore exceptions from ensure dependencies

* up version

* Update cv.py

add case for X is data frame

* Update cv.py

add a space

* add a test for cv with data frame

* set DOTNET_SYSTEM_GLOBALIZATION_INVARIANT to true to fix app domain error

* fix build

* up version

* Add instructions for editing docstrings. (#51)

* Add instructions for editing docstrings.

* Add footnote giving more information.

* Fix build failures caused by dotnetcore2 module. (#67)

* Fix importing of the dotnetcore2 module because it has inconsistent folder naming.

* Fix file check for unix platforms.

* Fix indentation levels.

* Reduce number of build legs for PR validations and add nightly build definition with more robust build matrix. (#69)

* Increase version to 0.6.5. (#71)

* Update clr helper function to search multiple folders for clr binaries. (#72)

* Update clr helper function to search multiple folders for clr binaries.

* Moved responsiblity for Python version checking to utility functions.

* Add clarifying comments.

* Fix call to get_nimbusml_libs()

* fix drop column param name

* Remove restricted permissions on build.sh script.

* Fix lightgbm test failures by updating runtime dependencies.

* fix TensorFlowScorer model_location paramter name

* Fix build.sh defaults so that it detects when running on a mac.

* Since OneHotHashVectorizer is broken for output kind Key in ML.NET 0.7, usse ToKey() for unit tests

* fix tests

* fix pyproj test

* fix win 3.6 build

* fix comments

* expose "parallel" to the fit/fit_transform function by including **param to the argument

* add a test for the parallel

* update parallel thread

* fix tests comparison

* Update thread, retry build

* modify tests

* specify pytest-cov version

* update pytest-cov version in build command for linux

* for windows use the latest pytest-cov

* Enabled strong naming for DoNetBridge.dll (to be used for InternalsVisibleTo in ML.NET)

* Changed the keys to be the same as other internal repos

* Changed the key filename

* Update to ML.NET 0.10.preview (#77)

* Updating ML.NET nugets to latest 0.9 preview.

* --generate_entrypoints phase 1

* Fixed Models.CrossValidator

* Updated all entrypoints

* New manifest.json, picket from Monte's branch

* Updated API codegen

* Replace ISchema and SchemaImpl with Schema and SchemaBuilder.

* Revert "Replace ISchema and SchemaImpl with Schema and SchemaBuilder."

This reverts commit dcd749d.

* Refactor IRowCursor to RowCursor.

* Update ML.NET version in build.csproj.

* Update manifest.json to ml.net commit 92e762686989215ddf45d9db3f0a1c989ee54d11

* Updated RunGraph.cs to ml.net 0.10

* Refactor Vbuffer

* Added override to RowCursor methods

* Update to NimbusML-privileged nugets from ML.NET.

* Update to Microsoft.ML namespace without Runtime.

* Schema and VBuffer fixes in NativeDataInterop.

* API fixes for IRandom and IsText in RmlEnvironment and NativeDataView.

* Work on getting VBuffer pointers from Spans.

* Some VBuffer fixes

* fix some class names

* Fix Register Assembly names.

* Remove ML.PipelineInference

* fixed more classes

* Add back columndropper for backward compatability.

* Register Entrypoints assembly in environment.

* Fix homebrew update problem on VS Hosted Mac images.

* Updated all the nuget versions to be the same.

* Attempt to fix the dataframe unit tests

* Fixed test_pyproj

* Optimized VBuffer changes

* Changed bridge version value to 0.10

* Addressed PR comments

* Simplify by using six.string_types (#89)

* Simplify by using six.string_types

* Force a retest

* Removed ISchema from DotNetBridge (#90)

* Removed ISchema

* Fixed the tests

* Addressed PR comments

* Addressed Wei-Sheng's comments about documenting the purpose of Column.DetachedColumn.

* add configuration for python 3.7 (#101)

* add configuration for python 3.7

* fix broken unit test

* Update build.sh

* fix build for Windows

* Linux py3.7 build

* fix pytest version

* upgrade pytest

* fix pytest-cov version

* fix isinstance(., int) for python 2.7

* build urls for Mac

* final fixes

* fix libomp

* Removing 3.7 for now as its not in PyPI

* Upgrade to ML.NET version 1.0.0 (#100)

* ref v0.10 ML.NET

* fix build

* hook up to v0.11.0 ML.NET

* fix build errors

* fix build

* include Microsoft.Data.DataView.dll in build

* typo

* remove protobuf dll

* Regenerate code due to manifest changes

* fix missing ep

* Update to ML.NET 1.0.0-preview

* fix .net build

* update nuget for ML.NET

* remove Data namespace dll

* rollback nuget changes

* move to final RC ML.NET

* Regenerate classes as per updated manifest

* fix maximum_number_of_iterations param name

* fix parameter names

* fix names

* reference official v1.0 of ML.NET

* fix tests

* fix label column

* Fix tests

* fix lightgbm tests

* fix OLS

* fix tests

* fix more tests

* fix more tests

* fix weight column name

* more tests

* fix normalized metrics

* more errors

* Fix CV

* rename feature_column to feature_column_name

* fix cv ranker

* Fix lightgbm tests

* fix changes due to upgrade of NGramFeaturizer

* fix ngram featurizer

* fix FactorizationMachine assert error

* disable test which is not working now due to change in LightGbm version

* fix model name

* typo

* handle nan in arrays

* fix tests

* fix tests

* fix more tests

* fix data type

* fix AUC exception

* kick the build

* fix tests due to data change

* fix ngram test

* fix mutual info tests

* copy libiomp lib

* fix mac build

* disable SymSgdNative for now

* disable SymSgdBinary classifier tests for Linux

* fix linux tests

* fix linux tests

* try linux

* fix linux

* skip SymSgdBinaryClassifier checks

* fix entrypoint compiler

* fix entry point generation

* fix example tests run

* fix typo

* fix documentation regression

* fix parameter name

* fix examples

* fix examples

* fix tests

* fix tests

* fix linux

* kick build

* Fix code_fixer

* fix skip take filters

* fix estimator checks

* Fix latest Windows build issues. (#105)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Fixes #50 - summary() fails if called a second time. (#107)

* Fixes #50 - summary() fails if called a second time.

* Fixes #99. Do not use hardcoded file separator. (#108)

Fixes #99. Do not use hard coded file separator.

* Delete the cached summaries when refitting a pipeline or a predictor. (#109)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes #106

* Simplify the code that deletes cached summaries when calling fit.

* Fix signature import error when using latest version of scikit-learn. (#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes #111

* Move the conditional import of the signature method in to the utils package.

* Package System.Drawing.Common.dll as its missing in dotnetcore2 (#120)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade the pytest-remotedata package to fix missing attribute error. (#121)

* Upgrade the pytest-remotedata package to fix missing attribute error.
Fixes #117

* Remove the RlsMacPy3.6 configuration from .vsts-ci.yml.

* Upgrade version (#122)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade version

* Support quoted strings by default (#124)

* upgrade to ML.NET 1.1 (#126)

* upgrade to ML.NET 1.1

* by default quote is +

* assert changes due to quote

* fix tensor flow example

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Expose ML.NET SSA & IID spike & changepoint detectors. (#135)

* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.

* Import the Microsoft.ML.TimeSeries assembly in to the project.

* Use 'PassAs' in manifest.json to fix the source parameter name.

* Use float32 for data dtype in IidSpikeDetector example.

* Convert IidSpikeDetector to a standard transform. Add examples and tests.

* Add pre-transform to IidSpikeDetector to fix incompatible data types.

* Fix issues with the test_estimator_checks IidSpikeDetector tests.

* Remove unnecessary TypeConverter import in IidSpikeDetector example.

* Initial implementation of IidChangePointDetector.

* Initial implementation of SsaSpikeDetector.

* Initial implementation of SsaChangePointDetector.

* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.

* Fix a few minor issues with time series unit tests and examples. (#139)

* Skip Image.py and Image_df.py tests for Ubuntu 14 (#149)

* * Fixed the script for generating the documentation (#144)

* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts

* Rename time_series package to timeseries. (#150)

* Fixed the ModuleNotFound error when importing time series

* Fixed the issue of Ubuntu14 not skipping Image.py and Image_df.py (#161)

* Updated CharTokenizer.py example (#153)

* Initial checkin

* Move to Hosted Mac pool

* Manually copied naming changes over from master.

* merge master to temp/docs for updating the documentation  (#134)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Merge branch 'documentation' into temp/docs (#143)

* merge master to documentation branch

* fixed the ModuleNotFoundError for WordEmbedding_df.py

* Fixed the issue when generating the documentation guide and concepts

* Moved _static to the right folder, and change PY36 to PY37 now

* Made it work with Python3.6

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Fixed the ModuleNotFound error when importing time series

* Initial test of the new SsaForecaster entry point.

* Update SsaForecaster to use the most recent version of the entry point in ml.net.

* Skip the test_estimator_checks for not since the ml.net binaries
which are included with nimbusml do not have the most recent
SsaForecasting entry point code.

* Documenation of SSA_Forecasting

* Force CI re-run. It appears the Mac system went down before it could finish.

* Start another CI run.

* Skip CharTokenizer.py for extended tests (#163)

* Add support for returning custom values when overriding Pipeline.predict. (#155)

* Added _ssaforecaster to pyproj file

* fix test_ssaforecaster.py
pieths added a commit that referenced this issue Aug 12, 2019
@pieths
Merge master branch in to temp/docs branch. (#223)
909bd6f 
* Update readme with latest feedback (#39)

Updating readme with latest feedback.

* Add THIRD-PARTY-NOTICES.txt and move CONTRIBUTING.md to root. (#40)

* Initial checkin

* Move to Hosted Mac pool

* Update README.md

* Manually copied naming changes over from master.

* Revert "Merge remote-tracking branch 'upstream/temp/docs'"

This reverts commit 93c7347, reversing
changes made to 2350069.

* Improve documentation regarding contributors.

* Fix email address.

* Create CODE_OF_CONDUCT.md

* Update issue templates

* Create PULL_REQUEST_TEMPLATE.md

* Update issue templates

* Update issue templates

* Update issue templates

* Fixing link in CONTRIBUTING.md (#44)

* Update contributing.md link. (#43)

* Initial checkin for ML.NET 0.7 upgrade

* fix tests

* put back columndropper

* fix tests

* Update scikit-learn links to use https instead of http

* restart dotnetcore2 package work

* fix build

* fix mac & linux

* fix build

* fix build

* dbg build

* fix build

* fix build

* handle py 2.7

* handle py27

* fix py27

* fix build

* fix build

* fix build

* ensure dependencies

* ignore exceptions from ensure dependencies

* up version

* Update cv.py

add case for X is data frame

* Update cv.py

add a space

* add a test for cv with data frame

* set DOTNET_SYSTEM_GLOBALIZATION_INVARIANT to true to fix app domain error

* fix build

* up version

* Add instructions for editing docstrings. (#51)

* Add instructions for editing docstrings.

* Add footnote giving more information.

* Fix build failures caused by dotnetcore2 module. (#67)

* Fix importing of the dotnetcore2 module because it has inconsistent folder naming.

* Fix file check for unix platforms.

* Fix indentation levels.

* Reduce number of build legs for PR validations and add nightly build definition with more robust build matrix. (#69)

* Increase version to 0.6.5. (#71)

* Update clr helper function to search multiple folders for clr binaries. (#72)

* Update clr helper function to search multiple folders for clr binaries.

* Moved responsiblity for Python version checking to utility functions.

* Add clarifying comments.

* Fix call to get_nimbusml_libs()

* fix drop column param name

* Remove restricted permissions on build.sh script.

* Fix lightgbm test failures by updating runtime dependencies.

* fix TensorFlowScorer model_location paramter name

* Fix build.sh defaults so that it detects when running on a mac.

* Since OneHotHashVectorizer is broken for output kind Key in ML.NET 0.7, usse ToKey() for unit tests

* fix tests

* fix pyproj test

* fix win 3.6 build

* fix comments

* expose "parallel" to the fit/fit_transform function by including **param to the argument

* add a test for the parallel

* update parallel thread

* fix tests comparison

* Update thread, retry build

* modify tests

* specify pytest-cov version

* update pytest-cov version in build command for linux

* for windows use the latest pytest-cov

* Enabled strong naming for DoNetBridge.dll (to be used for InternalsVisibleTo in ML.NET)

* Changed the keys to be the same as other internal repos

* Changed the key filename

* Update to ML.NET 0.10.preview (#77)

* Updating ML.NET nugets to latest 0.9 preview.

* --generate_entrypoints phase 1

* Fixed Models.CrossValidator

* Updated all entrypoints

* New manifest.json, picket from Monte's branch

* Updated API codegen

* Replace ISchema and SchemaImpl with Schema and SchemaBuilder.

* Revert "Replace ISchema and SchemaImpl with Schema and SchemaBuilder."

This reverts commit dcd749d.

* Refactor IRowCursor to RowCursor.

* Update ML.NET version in build.csproj.

* Update manifest.json to ml.net commit 92e762686989215ddf45d9db3f0a1c989ee54d11

* Updated RunGraph.cs to ml.net 0.10

* Refactor Vbuffer

* Added override to RowCursor methods

* Update to NimbusML-privileged nugets from ML.NET.

* Update to Microsoft.ML namespace without Runtime.

* Schema and VBuffer fixes in NativeDataInterop.

* API fixes for IRandom and IsText in RmlEnvironment and NativeDataView.

* Work on getting VBuffer pointers from Spans.

* Some VBuffer fixes

* fix some class names

* Fix Register Assembly names.

* Remove ML.PipelineInference

* fixed more classes

* Add back columndropper for backward compatability.

* Register Entrypoints assembly in environment.

* Fix homebrew update problem on VS Hosted Mac images.

* Updated all the nuget versions to be the same.

* Attempt to fix the dataframe unit tests

* Fixed test_pyproj

* Optimized VBuffer changes

* Changed bridge version value to 0.10

* Addressed PR comments

* Simplify by using six.string_types (#89)

* Simplify by using six.string_types

* Force a retest

* Removed ISchema from DotNetBridge (#90)

* Removed ISchema

* Fixed the tests

* Addressed PR comments

* Addressed Wei-Sheng's comments about documenting the purpose of Column.DetachedColumn.

* add configuration for python 3.7 (#101)

* add configuration for python 3.7

* fix broken unit test

* Update build.sh

* fix build for Windows

* Linux py3.7 build

* fix pytest version

* upgrade pytest

* fix pytest-cov version

* fix isinstance(., int) for python 2.7

* build urls for Mac

* final fixes

* fix libomp

* Removing 3.7 for now as its not in PyPI

* Upgrade to ML.NET version 1.0.0 (#100)

* ref v0.10 ML.NET

* fix build

* hook up to v0.11.0 ML.NET

* fix build errors

* fix build

* include Microsoft.Data.DataView.dll in build

* typo

* remove protobuf dll

* Regenerate code due to manifest changes

* fix missing ep

* Update to ML.NET 1.0.0-preview

* fix .net build

* update nuget for ML.NET

* remove Data namespace dll

* rollback nuget changes

* move to final RC ML.NET

* Regenerate classes as per updated manifest

* fix maximum_number_of_iterations param name

* fix parameter names

* fix names

* reference official v1.0 of ML.NET

* fix tests

* fix label column

* Fix tests

* fix lightgbm tests

* fix OLS

* fix tests

* fix more tests

* fix more tests

* fix weight column name

* more tests

* fix normalized metrics

* more errors

* Fix CV

* rename feature_column to feature_column_name

* fix cv ranker

* Fix lightgbm tests

* fix changes due to upgrade of NGramFeaturizer

* fix ngram featurizer

* fix FactorizationMachine assert error

* disable test which is not working now due to change in LightGbm version

* fix model name

* typo

* handle nan in arrays

* fix tests

* fix tests

* fix more tests

* fix data type

* fix AUC exception

* kick the build

* fix tests due to data change

* fix ngram test

* fix mutual info tests

* copy libiomp lib

* fix mac build

* disable SymSgdNative for now

* disable SymSgdBinary classifier tests for Linux

* fix linux tests

* fix linux tests

* try linux

* fix linux

* skip SymSgdBinaryClassifier checks

* fix entrypoint compiler

* fix entry point generation

* fix example tests run

* fix typo

* fix documentation regression

* fix parameter name

* fix examples

* fix examples

* fix tests

* fix tests

* fix linux

* kick build

* Fix code_fixer

* fix skip take filters

* fix estimator checks

* Fix latest Windows build issues. (#105)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Fixes #50 - summary() fails if called a second time. (#107)

* Fixes #50 - summary() fails if called a second time.

* Fixes #99. Do not use hardcoded file separator. (#108)

Fixes #99. Do not use hard coded file separator.

* Delete the cached summaries when refitting a pipeline or a predictor. (#109)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes #106

* Simplify the code that deletes cached summaries when calling fit.

* Fix signature import error when using latest version of scikit-learn. (#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes #111

* Move the conditional import of the signature method in to the utils package.

* Package System.Drawing.Common.dll as its missing in dotnetcore2 (#120)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade the pytest-remotedata package to fix missing attribute error. (#121)

* Upgrade the pytest-remotedata package to fix missing attribute error.
Fixes #117

* Remove the RlsMacPy3.6 configuration from .vsts-ci.yml.

* Upgrade version (#122)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade version

* Support quoted strings by default (#124)

* upgrade to ML.NET 1.1 (#126)

* upgrade to ML.NET 1.1

* by default quote is +

* assert changes due to quote

* fix tensor flow example

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Expose ML.NET SSA & IID spike & changepoint detectors. (#135)

* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.

* Import the Microsoft.ML.TimeSeries assembly in to the project.

* Use 'PassAs' in manifest.json to fix the source parameter name.

* Use float32 for data dtype in IidSpikeDetector example.

* Convert IidSpikeDetector to a standard transform. Add examples and tests.

* Add pre-transform to IidSpikeDetector to fix incompatible data types.

* Fix issues with the test_estimator_checks IidSpikeDetector tests.

* Remove unnecessary TypeConverter import in IidSpikeDetector example.

* Initial implementation of IidChangePointDetector.

* Initial implementation of SsaSpikeDetector.

* Initial implementation of SsaChangePointDetector.

* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.

* Fix a few minor issues with time series unit tests and examples. (#139)

* Skip Image.py and Image_df.py tests for Ubuntu 14 (#149)

* * Fixed the script for generating the documentation (#144)

* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts

* Rename time_series package to timeseries. (#150)

* Fixed the issue of Ubuntu14 not skipping Image.py and Image_df.py (#161)

* Updated CharTokenizer.py example (#153)

* Skip CharTokenizer.py for extended tests (#163)

* Add support for returning custom values when overriding Pipeline.predict. (#155)

* Initial creation of the release-next.md file. (#165)

* Initial creation of the release-next.md file.

* Point the time series example links to the head of the master branch.

* Initial implementation of the SsaForecaster entry point. (#164)

* Final updates for release 1.2.0 (#167)

* Update the LightGbm entry point with the latest version from the manifest.

* Add SsaForecasting examples to the release notes.

* Add documentation modification to the release notes.

* Create the official 1.2.0 release notes. They have been put in the
docs/release-notes folder to closely match the ml.net directory
structure.

* Add correct version to the release notes title.

* Re-enable the SsaForecaster tests.

* Update to the latest version of ml.net. Update the NimbusML version.

* Fix issues with the summary unit tests.

* Comment out the SymSgdBinaryClassifier summary test. It does not
appear to be working on linux.

* Revert change b5eb937 to see if it (#168)

fixes the signed build issue.

* Bring back build.cmd commit. It did not fix the signed build issue. (#169)

* Revert change b5eb937 to see if it
fixes the signed build issue.

* Bring back commit b5eb937. It did
not fixed the signed build issue.

* Bring back the build.cmd change from b5eb937. (#170)

It did not fix the signed build issue.

* Use restored dotnet CLI for signing (#171)

* Update README.md

* Enable LinearSvmBinaryClassifier (#180)

* Enable LinearSvmBinaryClassifier, add examples, add test, and update docs

* Add test for predict_proba() and decision_function()

* Setup destructors for data passed to python (#184)

* pass destructor to python

* indent

* Add azureml-dataprep support for dataflow objects (#181)

* draft code

* draft

* delete

* add dprep dependency

* rollback

* rollback

* rollback

* test & example on using DprepDataStream

* add dprep path

* add dprep path

* fix mlnetpath

* optional dependency on dprep

* run dprep tests optionally

* fix typo

* Up sdk version

* fix linux dprep tests

* up version (#188)

* Save the model file when pickling a NimbusML Pipeline. (#189)

* Save the model file when pickling a NimbusML Pipeline.

* Add version to the pickled Pipeline.

* Add the steps attribute to a pickled Pipeline instance.

* Add extra unit test for pickled nimbusml pipelines.

* Add export_version to pickled base_pipeline_items.
Remove unnecessary export_version attribute from an unpickled Pipeline.

* Remove stored references to X and y in BasePredictor. (#195)

* Remove stored references to X and y in BasePredictor.

* Remove unnecessary scikit-learn import.

* Add observation level feature contributions to Pipeline and BasePredictor (#196)

* Add get_feature_contributions to Pipeline and BasePredictor, add example

* Add tests

* Update release-next.md

* Add classes_ to Pipeline and/or predictor when calling predict_proba. (#200)

* Add classes_ to Pipeline and/or predictor when calling predict_proba.

* Update test_estimator_checks.py to skip the check_dict_unchanged
test for any estimator which supports predict_proba or decision_function.

* Update Handler, Filter, and Indicator to automatically convert the input columns to float before performing the transform. (#204)

Fixes #203.

* Combine models from transforms, predictors and pipelines in to one model. (#208)

* Initial test implementation of combining 2 or more models in to one.

* Added support to Pipeline.combine_models for combining other types of items
and transform only inputs.

* Combine Pipeline._evaluation_infer and _evaluation in to one method.
This fixes an issue where a classifier graph would not contain the
correct nodes after calling Pipeline._predict().

* Missing part of previous check-in.

* Fix the Pipeline.combine_models signature to work with Python 2.7.

* Fix build (#209)

* T

* Fix cert

* Update release-next.md. (#211)

* Update release-next.md

* Update release-next.md

* Update release-next.md

* Add classifier and FileDataStream unit tests to test_pipeline_combining. (#212)

Add classifier and FileDataStream unit tests to test_pipeline_combining.

* Update release-next.md

* up version (#210)

* up version

* Up the version

* renamed factorization lib

* remove matrix factorization lib ref

* dbg libs

* fix libtensorflow framework

* package more libs

* add mkl proxy

* Enable EnsembleClassifier and EnsembleRegressor (#207)

* Enable EnsembleClassifier

* nit

* Enable EnsembleRegressor

* Add output combiners

* Add sub model selectors

* Update examples

* Add documentation for components

* Add diversity measure

* Improve examples

* Add tests

* Fix test_estimator_checks

* Create release notes for version 1.3.0. (#214)

* Update release-1.3.0.md

* Add --installPythonPackages flag to build scripts (#215)

* Add --installPythonPackages flag to build scripts

* close if statement in build.sh

* fix --runTestsOnly

* Fix a bug with the classes_ attribute when no y input is specified during fitting. (#218)

Fixes #216

* Add NumSharp.Core.dll (#220)

* Add timeseries documentation to the master branch. (#221)

* Ensure manifest.json is the latest version and run entry point compiler.

* Remove the non-underscore files that were introduced during the merge.

* Fix remaining unintended differences between branch and master.

* Remove unnecessary underscores from nimbusml.pyproj
najeeb-kazmi added a commit that referenced this issue Oct 10, 2019
@najeeb-kazmi
Merge master into temp/docs (#322)
5d44e0b 
* Update readme with latest feedback (#39)

Updating readme with latest feedback.

* Add THIRD-PARTY-NOTICES.txt and move CONTRIBUTING.md to root. (#40)

* Initial checkin

* Move to Hosted Mac pool

* Update README.md

* Manually copied naming changes over from master.

* Revert "Merge remote-tracking branch 'upstream/temp/docs'"

This reverts commit 93c7347, reversing
changes made to 2350069.

* Improve documentation regarding contributors.

* Fix email address.

* Create CODE_OF_CONDUCT.md

* Update issue templates

* Create PULL_REQUEST_TEMPLATE.md

* Update issue templates

* Update issue templates

* Update issue templates

* Fixing link in CONTRIBUTING.md (#44)

* Update contributing.md link. (#43)

* Initial checkin for ML.NET 0.7 upgrade

* fix tests

* put back columndropper

* fix tests

* Update scikit-learn links to use https instead of http

* restart dotnetcore2 package work

* fix build

* fix mac & linux

* fix build

* fix build

* dbg build

* fix build

* fix build

* handle py 2.7

* handle py27

* fix py27

* fix build

* fix build

* fix build

* ensure dependencies

* ignore exceptions from ensure dependencies

* up version

* Update cv.py

add case for X is data frame

* Update cv.py

add a space

* add a test for cv with data frame

* set DOTNET_SYSTEM_GLOBALIZATION_INVARIANT to true to fix app domain error

* fix build

* up version

* Add instructions for editing docstrings. (#51)

* Add instructions for editing docstrings.

* Add footnote giving more information.

* Fix build failures caused by dotnetcore2 module. (#67)

* Fix importing of the dotnetcore2 module because it has inconsistent folder naming.

* Fix file check for unix platforms.

* Fix indentation levels.

* Reduce number of build legs for PR validations and add nightly build definition with more robust build matrix. (#69)

* Increase version to 0.6.5. (#71)

* Update clr helper function to search multiple folders for clr binaries. (#72)

* Update clr helper function to search multiple folders for clr binaries.

* Moved responsiblity for Python version checking to utility functions.

* Add clarifying comments.

* Fix call to get_nimbusml_libs()

* fix drop column param name

* Remove restricted permissions on build.sh script.

* Fix lightgbm test failures by updating runtime dependencies.

* fix TensorFlowScorer model_location paramter name

* Fix build.sh defaults so that it detects when running on a mac.

* Since OneHotHashVectorizer is broken for output kind Key in ML.NET 0.7, usse ToKey() for unit tests

* fix tests

* fix pyproj test

* fix win 3.6 build

* fix comments

* expose "parallel" to the fit/fit_transform function by including **param to the argument

* add a test for the parallel

* update parallel thread

* fix tests comparison

* Update thread, retry build

* modify tests

* specify pytest-cov version

* update pytest-cov version in build command for linux

* for windows use the latest pytest-cov

* Enabled strong naming for DoNetBridge.dll (to be used for InternalsVisibleTo in ML.NET)

* Changed the keys to be the same as other internal repos

* Changed the key filename

* Update to ML.NET 0.10.preview (#77)

* Updating ML.NET nugets to latest 0.9 preview.

* --generate_entrypoints phase 1

* Fixed Models.CrossValidator

* Updated all entrypoints

* New manifest.json, picket from Monte's branch

* Updated API codegen

* Replace ISchema and SchemaImpl with Schema and SchemaBuilder.

* Revert "Replace ISchema and SchemaImpl with Schema and SchemaBuilder."

This reverts commit dcd749d.

* Refactor IRowCursor to RowCursor.

* Update ML.NET version in build.csproj.

* Update manifest.json to ml.net commit 92e762686989215ddf45d9db3f0a1c989ee54d11

* Updated RunGraph.cs to ml.net 0.10

* Refactor Vbuffer

* Added override to RowCursor methods

* Update to NimbusML-privileged nugets from ML.NET.

* Update to Microsoft.ML namespace without Runtime.

* Schema and VBuffer fixes in NativeDataInterop.

* API fixes for IRandom and IsText in RmlEnvironment and NativeDataView.

* Work on getting VBuffer pointers from Spans.

* Some VBuffer fixes

* fix some class names

* Fix Register Assembly names.

* Remove ML.PipelineInference

* fixed more classes

* Add back columndropper for backward compatability.

* Register Entrypoints assembly in environment.

* Fix homebrew update problem on VS Hosted Mac images.

* Updated all the nuget versions to be the same.

* Attempt to fix the dataframe unit tests

* Fixed test_pyproj

* Optimized VBuffer changes

* Changed bridge version value to 0.10

* Addressed PR comments

* Simplify by using six.string_types (#89)

* Simplify by using six.string_types

* Force a retest

* Removed ISchema from DotNetBridge (#90)

* Removed ISchema

* Fixed the tests

* Addressed PR comments

* Addressed Wei-Sheng's comments about documenting the purpose of Column.DetachedColumn.

* add configuration for python 3.7 (#101)

* add configuration for python 3.7

* fix broken unit test

* Update build.sh

* fix build for Windows

* Linux py3.7 build

* fix pytest version

* upgrade pytest

* fix pytest-cov version

* fix isinstance(., int) for python 2.7

* build urls for Mac

* final fixes

* fix libomp

* Removing 3.7 for now as its not in PyPI

* Upgrade to ML.NET version 1.0.0 (#100)

* ref v0.10 ML.NET

* fix build

* hook up to v0.11.0 ML.NET

* fix build errors

* fix build

* include Microsoft.Data.DataView.dll in build

* typo

* remove protobuf dll

* Regenerate code due to manifest changes

* fix missing ep

* Update to ML.NET 1.0.0-preview

* fix .net build

* update nuget for ML.NET

* remove Data namespace dll

* rollback nuget changes

* move to final RC ML.NET

* Regenerate classes as per updated manifest

* fix maximum_number_of_iterations param name

* fix parameter names

* fix names

* reference official v1.0 of ML.NET

* fix tests

* fix label column

* Fix tests

* fix lightgbm tests

* fix OLS

* fix tests

* fix more tests

* fix more tests

* fix weight column name

* more tests

* fix normalized metrics

* more errors

* Fix CV

* rename feature_column to feature_column_name

* fix cv ranker

* Fix lightgbm tests

* fix changes due to upgrade of NGramFeaturizer

* fix ngram featurizer

* fix FactorizationMachine assert error

* disable test which is not working now due to change in LightGbm version

* fix model name

* typo

* handle nan in arrays

* fix tests

* fix tests

* fix more tests

* fix data type

* fix AUC exception

* kick the build

* fix tests due to data change

* fix ngram test

* fix mutual info tests

* copy libiomp lib

* fix mac build

* disable SymSgdNative for now

* disable SymSgdBinary classifier tests for Linux

* fix linux tests

* fix linux tests

* try linux

* fix linux

* skip SymSgdBinaryClassifier checks

* fix entrypoint compiler

* fix entry point generation

* fix example tests run

* fix typo

* fix documentation regression

* fix parameter name

* fix examples

* fix examples

* fix tests

* fix tests

* fix linux

* kick build

* Fix code_fixer

* fix skip take filters

* fix estimator checks

* Fix latest Windows build issues. (#105)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Fixes #50 - summary() fails if called a second time. (#107)

* Fixes #50 - summary() fails if called a second time.

* Fixes #99. Do not use hardcoded file separator. (#108)

Fixes #99. Do not use hard coded file separator.

* Delete the cached summaries when refitting a pipeline or a predictor. (#109)

* Fix build issue on Windows when VS2019 is installed.

Note: The -version option could not be added directly
to the FOR command due to a command script parsing issue.

* Add missing arguments to fix build issue with latest version of autoflake.

* Delete the cached summaries when refitting a pipeline or a predictor.
Fixes #106

* Simplify the code that deletes cached summaries when calling fit.

* Fix signature import error when using latest version of scikit-learn. (#116)

* Fix signature import error when using latest version of scikit-learn.
Fixes #111

* Move the conditional import of the signature method in to the utils package.

* Package System.Drawing.Common.dll as its missing in dotnetcore2 (#120)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade the pytest-remotedata package to fix missing attribute error. (#121)

* Upgrade the pytest-remotedata package to fix missing attribute error.
Fixes #117

* Remove the RlsMacPy3.6 configuration from .vsts-ci.yml.

* Upgrade version (#122)

* package System.Drawings.Common.dll as its missing in dotnetcore2

* typo

* Add png for Image examples

* try linux fix

* rollback scikit learn version

* test

* debug

* rollback test

* rollback

* fix fontconfig err

* fix tests

* print platform

* get os names

* test

* test

* fix linux

* Upgrade version

* Support quoted strings by default (#124)

* upgrade to ML.NET 1.1 (#126)

* upgrade to ML.NET 1.1

* by default quote is +

* assert changes due to quote

* fix tensor flow example

* Put long running tests in to their own folder to shorten build times. (#136)

* Temporarily remove the dataframe examples from the test run
to see how much that effects the test length.

* Remove all examples from the tests to see how it impacts the CI run.

* Put long running tests in to their own folder to shorten build times.

* Update nimbusml.pyproj to reflect the newly moved test files.
Forgot to save the nimbusml.pyproj in visual studio.

* Expose ML.NET SSA & IID spike & changepoint detectors. (#135)

* Initial creation of the IidSpikeDetector files to see what works and
what doesn't.

* Import the Microsoft.ML.TimeSeries assembly in to the project.

* Use 'PassAs' in manifest.json to fix the source parameter name.

* Use float32 for data dtype in IidSpikeDetector example.

* Convert IidSpikeDetector to a standard transform. Add examples and tests.

* Add pre-transform to IidSpikeDetector to fix incompatible data types.

* Fix issues with the test_estimator_checks IidSpikeDetector tests.

* Remove unnecessary TypeConverter import in IidSpikeDetector example.

* Initial implementation of IidChangePointDetector.

* Initial implementation of SsaSpikeDetector.

* Initial implementation of SsaChangePointDetector.

* Fix incorrect SsaSpikeDetector instance in test_estimator_checks.

* Fix a few minor issues with time series unit tests and examples. (#139)

* Skip Image.py and Image_df.py tests for Ubuntu 14 (#149)

* * Fixed the script for generating the documentation (#144)

* Moved _static to ci_script to solve an error while using sphinx
* Removed amek_md.bat and merge the commands of it to make_yaml.bat
* Moved metrics.rst to concepts

* Rename time_series package to timeseries. (#150)

* Fixed the issue of Ubuntu14 not skipping Image.py and Image_df.py (#161)

* Updated CharTokenizer.py example (#153)

* Skip CharTokenizer.py for extended tests (#163)

* Add support for returning custom values when overriding Pipeline.predict. (#155)

* Initial creation of the release-next.md file. (#165)

* Initial creation of the release-next.md file.

* Point the time series example links to the head of the master branch.

* Initial implementation of the SsaForecaster entry point. (#164)

* Final updates for release 1.2.0 (#167)

* Update the LightGbm entry point with the latest version from the manifest.

* Add SsaForecasting examples to the release notes.

* Add documentation modification to the release notes.

* Create the official 1.2.0 release notes. They have been put in the
docs/release-notes folder to closely match the ml.net directory
structure.

* Add correct version to the release notes title.

* Re-enable the SsaForecaster tests.

* Update to the latest version of ml.net. Update the NimbusML version.

* Fix issues with the summary unit tests.

* Comment out the SymSgdBinaryClassifier summary test. It does not
appear to be working on linux.

* Revert change b5eb937 to see if it (#168)

fixes the signed build issue.

* Bring back build.cmd commit. It did not fix the signed build issue. (#169)

* Revert change b5eb937 to see if it
fixes the signed build issue.

* Bring back commit b5eb937. It did
not fixed the signed build issue.

* Bring back the build.cmd change from b5eb937. (#170)

It did not fix the signed build issue.

* Use restored dotnet CLI for signing (#171)

* Update README.md

* Enable LinearSvmBinaryClassifier (#180)

* Enable LinearSvmBinaryClassifier, add examples, add test, and update docs

* Add test for predict_proba() and decision_function()

* Setup destructors for data passed to python (#184)

* pass destructor to python

* indent

* Add azureml-dataprep support for dataflow objects (#181)

* draft code

* draft

* delete

* add dprep dependency

* rollback

* rollback

* rollback

* test & example on using DprepDataStream

* add dprep path

* add dprep path

* fix mlnetpath

* optional dependency on dprep

* run dprep tests optionally

* fix typo

* Up sdk version

* fix linux dprep tests

* up version (#188)

* Save the model file when pickling a NimbusML Pipeline. (#189)

* Save the model file when pickling a NimbusML Pipeline.

* Add version to the pickled Pipeline.

* Add the steps attribute to a pickled Pipeline instance.

* Add extra unit test for pickled nimbusml pipelines.

* Add export_version to pickled base_pipeline_items.
Remove unnecessary export_version attribute from an unpickled Pipeline.

* Remove stored references to X and y in BasePredictor. (#195)

* Remove stored references to X and y in BasePredictor.

* Remove unnecessary scikit-learn import.

* Add observation level feature contributions to Pipeline and BasePredictor (#196)

* Add get_feature_contributions to Pipeline and BasePredictor, add example

* Add tests

* Update release-next.md

* Add classes_ to Pipeline and/or predictor when calling predict_proba. (#200)

* Add classes_ to Pipeline and/or predictor when calling predict_proba.

* Update test_estimator_checks.py to skip the check_dict_unchanged
test for any estimator which supports predict_proba or decision_function.

* Update Handler, Filter, and Indicator to automatically convert the input columns to float before performing the transform. (#204)

Fixes #203.

* Combine models from transforms, predictors and pipelines in to one model. (#208)

* Initial test implementation of combining 2 or more models in to one.

* Added support to Pipeline.combine_models for combining other types of items
and transform only inputs.

* Combine Pipeline._evaluation_infer and _evaluation in to one method.
This fixes an issue where a classifier graph would not contain the
correct nodes after calling Pipeline._predict().

* Missing part of previous check-in.

* Fix the Pipeline.combine_models signature to work with Python 2.7.

* Fix build (#209)

* T

* Fix cert

* Update release-next.md. (#211)

* Update release-next.md

* Update release-next.md

* Update release-next.md

* Add classifier and FileDataStream unit tests to test_pipeline_combining. (#212)

Add classifier and FileDataStream unit tests to test_pipeline_combining.

* Update release-next.md

* up version (#210)

* up version

* Up the version

* renamed factorization lib

* remove matrix factorization lib ref

* dbg libs

* fix libtensorflow framework

* package more libs

* add mkl proxy

* Enable EnsembleClassifier and EnsembleRegressor (#207)

* Enable EnsembleClassifier

* nit

* Enable EnsembleRegressor

* Add output combiners

* Add sub model selectors

* Update examples

* Add documentation for components

* Add diversity measure

* Improve examples

* Add tests

* Fix test_estimator_checks

* Create release notes for version 1.3.0. (#214)

* Update release-1.3.0.md

* Add --installPythonPackages flag to build scripts (#215)

* Add --installPythonPackages flag to build scripts

* close if statement in build.sh

* fix --runTestsOnly

* Fix a bug with the classes_ attribute when no y input is specified during fitting. (#218)

Fixes #216

* Add NumSharp.Core.dll (#220)

* Add timeseries documentation to the master branch. (#221)

* Docs update (#224)

* Fix documentation

* Few more

* More doc fixes (#228)

* More doc fixes

* A few nits

* Pass python path to Dprep (#232)

* remove Dprep* dll from wheel (#235)

* remove Dprep* dll from wheel

* Move Dprep calls into separate class

* test

* remove DprepLoader

* clean unused code (#236)

* clean unused code

* fix tests changes due to seed changes

* remove max_slots from graph

* delete Dprep dlls from python2.7

* fix linux extended tests for TensorFlow

* fix tests

* fix tests

* rollback

* fix tests

* disable estimator check

* fix tests

* fix tests again

* fix tabbing
removing -r from rm command

* remove experimental

* Enable scoring of ML.NET models saved with new TransformerChain format (#230)

* Handle new ML.NET model format for predictions

* fix

* use with{} statement with ZipFile

* Add initial implementation of DatasetTransformer. (#240)

* Update release-next for the 1.4 release. (#252)

* Update release-next.md

* Upgrade to ML.NET 1.4 (#251)

* Upgrade to ML.NET 1.4

* preview bits

* update refs

* Fix casing for the installPythonPackages build.sh argument. (#256)

* Rename lambda_ to l2_regularization in LinearSvmBinaryClasifier (#259)

* Initial implementation of csr_matrix output support. (#250)

* Initial implementation of csr_matrix output support.

* Whitespace change to kick off another build. The CentOs test run crashed.

* Rename as per comment

* Initial implementation of LpNormalizer. (#253)

* Initial implementation of LpNormalizer.

* Rename to LpScaler

* fix build

* fix casing

* up version (#262)

* Remove scikit-learn testing module from normal flow (#265)

* remove scikit learn testing module from normal flow

* fix build

* fix build

* Fix issue when using predict_proba or decision_function with combined models. (#272)

* Output predictor model file optionally (#270)

* Output predictor model file optionally

* fix comment

* fix unit tests

* Draft of ColumnConcat transform that takes in a prefix instead

* fix test

* fix test

* PrefixColumnConcat transform

* fix entrypoint namespace

* fix exception

* Handle no match scenario

* add exampl & test

* add test

* fix comments

* fix comments

* fix example

* Providing error message to python in exception (#273)

* spit out error message to python
upgrade patch version

* fix the test

* another test

* rollback

* Add I8 support to CSR matrix output. (#276)

* Get column names for transform model (#278)

* draft for schema

* resolve conflict

* debug pieces

* Few perf tricks

* rollback prints

* few perf tricks

* perf tricks

* fix csr

* set 0 byte

* Update schema example.

* Convert return value to list.

* Update schema example to use new list return value.

* Fix naming in Pipeline.get_schema.

* Add initial unit tests for Pipeline.get_schema().

* Check length in Pipeline.get_schema unit tests.

* few perf tricks

* fix linux tests

* rollback

* Temporarily use 'inclusive' test instead of positional test for columns since order is not valid in Python 2.6 and 3.5.

* fix comments

* Add variable length vector support (#267)

* Update Schema.py to remove the non-ASCII character (#291)

* Fix Pipeline._extract_classes_from_headers was not checking for valid steps. (#292)

* Save predictor_model when pickling a pipeline. (#295)

* Initial implementation of the WordTokenizer transform. (#296)

* Remove summary validation in Pipeline and enable the summary tests for the tree based predictors. (#298)

* Turn on dprep unit tests for all platforms and python versions except 2.7 (#303)

* Fix bug in Pipeline.transform() (#294)

* Remove unnecessary code from Pipeline.transform that was causing a bug

* Update release-next.md

* Remove y argument from transform() method

* Update release-next.md

* Fix test

* Fixed building of NimbusML with Python 3.5 on Windows (and other versions of Python) (#297)

* Update Schema.py to remove the non-ASCII character

* Update build.cmd

* Update build.cmd

* Update build.cmd

* Revert "Update build.cmd"

This reverts commit cb79b9d.

* Upgreate pip for all Python versions

* Update release notes. (#306)

* Added libtensorflow_framework.so.1 (#310)

* Add Permutation Feature Importance (PFI) (#279)

* Add PFI entrypoint

* Add PFI to Pipeline and BasePipelineItem, and examples

* Improved docs and sample

* Load model as PredictorModel, and remove label column and group ID column from EP inputs

* schema example reference

* Add test

* nit

* Update release-next.md

* Add tests to check PFI from loaded model

* Make SgdBinaryClassifier deterministic in test_estimator_checks.py

* Update ML.NET nugets to 1.4.0-preview2 and 0.16.0-preview2

* Fix test baseline values

* Fix Ranking PFI column names to work with with Py2.7 and Py3.5

* Initial implementation of DateTime input and output column support. (#290)

* Add support for DateTime output.

* Add support for DateTime input columns.

* Add unit test for DateTime column input and output.

* Fix DateTime.Kind == Unspecified output from dprep.

* Update the csproj files to point to the latest nuget packages.

* Update the Tensorflow.NET library version.

* Fix azureml dprep not available for Python 2.7

* Fix missing sys import.

* Fix broken assertEqual on Python 3.5.

* Fix BinaryDataStream not valid as input for transformer. (#307)

* Add test for fitting a BinaryDataStream.

* Use BinaryDataStream schema for retrieving feature columns in _init_graph_nodes.

* Add idv schema to BinaryDataStream.

* Fix DprepDataStream was passing in incorrect value to base class constructor.

* Remove column position check from unit test since it is unreliable on Python 3.5 and 2.7.

* Issue 300 (#311)

* Temporarily change running Mac pipeline to Python 3.6

* Temporary addition to view state of "result" in MacOS with Python 3.6

* Added additional temporary Python builds on Mac

* Added libtensorflow_framework.so.1 (#310)

* Revert "Temporary addition to view state of "result" in MacOS with Python 3.6"

This reverts commit d116dc8.

* Updated test_data_with_missing.test_input_conversion_to_float()

* Update test_data_with_missing.py

* Revert "Added additional temporary Python builds on Mac"

This reverts commit 1aa1526.

* Revert "Temporarily change running Mac pipeline to Python 3.6"

This reverts commit 4ec36fb.

* allow csr_matrix as input to predict_proba() (#305)

* draft

* draft

* rollback

* new entrypoint

* add assert

* rollback

* no print in test

* up version

* only Single type is allowed for Feature vector

* fix comments, rename entrypoint

* convert to single

* fix type

* add feature contribution test

* rename pipeline.get_schema() to pipeline.gat_output_columns()

* fix build

* Update release notes. (#312)

* Turn off shuffling for FactorizationMachineBinaryClassifier. (#316)

* Fix imports

* Fix few more conflicts and build

* Fix one more import

* Fix nimbusml.pyroj
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