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Merge master branch in to temp/docs branch. (#223)
* 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
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