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Detect ID columns #27

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gfournier opened this issue Oct 28, 2019 · 0 comments
Open

Detect ID columns #27

gfournier opened this issue Oct 28, 2019 · 0 comments
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enhancement New feature or request

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@gfournier
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Allows to detect "unique identifier" columns - they should be removed from training
@gfournier gfournier added the enhancement New feature or request label Oct 28, 2019
gfournier pushed a commit that referenced this issue Feb 28, 2020
@gfournier
requirements pandas >= 0.23 (#27)
8a93376
gfournier added a commit that referenced this issue Feb 28, 2020
@gfournier
Integrate version 0.2.0 (#31)
f9e0594 
* bump version to 0.1.3

* bump version to 0.1.4-dev

* massive black reformating (#18)

* fix bug when type_of_problem is setted (#21)

* fix bug when type_of_problem is setted

* add default

* add specific test

* Fix numericalencoder (#22)

* fix NumericalEncoder with default values

* fix NumericalEncoder with default values

* Fix doc (#26)

* ignore .bat file to create doc

* fix doc

* comment in english

* clean test

* requirements pandas >= 0.23 (#27)

* node -> nodes (was deprecated and is now absent) (#31)

* Add test picklable (#23)

* test numerical encoder is picklable

* test numerical encoder is picklable

* test target encoder is picklable

* black

* black

* remove warning printing

* add test : unpickled object behave like original object

* improve auto ml doc (#30)

* re-index 'fit_params' that are indexable

* change version 0.1.5

* conversion model to json (#36)

* v0.1.6-dev

* add conversion model to json : 'param_from_sklearn_model' + corresponding tests

* add new numpy type to be cast to python type

* test if object can be json serialized

* refactoring of columns selection (#29)

* add conversion model to json : 'param_from_sklearn_model' + corresponding tests

* change wrapper, 'drop_used_columns' and 'drop_unused_columns'

* temp : remove useless attribute

* temp : fix test

* allow selector to select of type of variable among TypeOfVariables.CAT / TEXT / NUM

* change default for numerical encoder

* change test

* temp : new test

* renamming

* comments

* clean docstring

* change text models

* change 'base' models

* change corresponding tests

* add numpy array support

* fix tests

* fix test

* fix random_forest_addins columns_to_use

* fix Targetencoder

* fix special case when no column to pass to the model

* typo

* fix get_feature_names

* allow not to raise when shape between fit and transform differs

* corresponding tests

* cleanning

* fix doc + default

* rename

* fix registration

* black reformat

* clean

* add helper method

* temp add fitting test

* clean

* add test : try to fit model

* add custom default hyper-parameters

* fix inf

* clean

* add test not inf CdfScaler

* cap number of component to nb of rows

* fix seed by default

* clean

* make CdfScaler to very small, almost equal values

* test very close and  very small values

* cleanning

* divers

* add min_count param

* more data in test

* * remove cast of string that can be parsed

* corresponding test

* change version 1.0.0

* dev version 1.0.1-dev

* change version 0.2.0

* dev 0.2.1-dev
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