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Add support for ordinal classifiers #37

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gfournier opened this issue Mar 2, 2020 · 3 comments
Open

Add support for ordinal classifiers #37

gfournier opened this issue Mar 2, 2020 · 3 comments
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enhancement New feature or request

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@gfournier
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Have a look at: https://pythonhosted.org/mord/

@gfournier gfournier added the enhancement New feature or request label Mar 2, 2020
@gfournier gfournier self-assigned this Mar 2, 2020
LionelMassoulard added a commit to LionelMassoulard/aikit that referenced this issue Mar 9, 2020
…generale#34)

* Fix sk22 - Needs to be checked (societe-generale#37)

* dev 0.2.1-dev

* compatibility sklearn 22 and 22

* fix typo

* Notebook doc update (societe-generale#43)

* update and new notebook

* notebook

* restrict pandas version <1

* compat '_safe_indexing' and 'safe_indexing'

* change n_estimators in test (to not be sklearn default)

* remove deprecate params

* fix bug : min_samples_split could be 1 which causes DecisionTree to raise an error

* docstring typo + comp _check_fit_params

* new tests _check_fit_params

Co-authored-by: LionelMassoulard <48184007+LionelMassoulard@users.noreply.github.com>
@gfournier
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@LionelMassoulard
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next steps, make the tools available in auto-ml

  • create a parameter to say that the classification is ordinal (not sure we can that)
  • add 'composition' step that make the transformation of the underlying model
  • add condition : regressor model should be drawn if 'ClassifierFromRegressor'
  • add condition : classifier that allow multi-output be drawn if 'ClassifierORdinal'

gfournier pushed a commit to gfournier/aikit that referenced this issue Apr 2, 2020
* dev 0.2.1-dev

* compatibility sklearn 22 and 22

* fix typo
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