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HISTORY.rst

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History
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=============================
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* `102`: Implements numpy.digitalize with a DecisionTreeRegressor (2021-08-22)
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* `101`: Update CI to build manylinux for python 3.9 (2021-08-18)
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* `100`: Support parameter positive for QuantileLinearRegression (2021-06-23)
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* `95`: _apply_prediction_method boolean indexing incompatible with standard sklearn format (2021-05-27)
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* `96`: Fixes #95, PiecewiseRegressor, makes sure target are vectors (2021-05-27)
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* `72`: Optimal decission tree for piecewise estimator (2021-05-06)
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* `80`: Piecewise Estimator: binner not a decision tree (2021-05-06)
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* `97`: piecewise_decision_tree does not compile with the latest version of scikit-learn (2021-05-03)
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* `98`: Fixes #97, fix issue with deepcopy and criterion (2021-05-03)
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* `85`: Fixes #70, implements DecisionTreeLogisticRegression (2021-05-02)
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0.3.549 - 2021-01-09 - 0.67Mb
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* `93`: Include build wheel for all platforms in CI (2021-01-09)
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* `64`: Implements a different version of TargetTransformRegressor which includes predefined functions (2019-08-24)
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* `63`: Add a transform which transform the target and applies the inverse function of the prediction before scoring (2019-08-24)
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* `49`: fix menu in documentation (2019-08-24)
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0.2.312 - 2019-07-13 - 0.66Mb
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* `61`: Fix bug in pipeline2dot when keyword "passthrough is used" (2019-07-11)
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* `60`: Fix visualisation of pipeline which contains string "passthrough" (2019-07-09)
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* `58`: Explores a way to compute recommandations without training (2019-06-05)
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0.2.288 - 2019-05-28 - 0.66Mb
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=============================
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* `56`: Fixes #55, explore caching for scikit-learn pipeline (2019-05-22)
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* `55`: Explore caching for gridsearchCV (2019-05-22)
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* `53`: implements a function to extract intermediate model outputs within a pipeline (2019-05-07)
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* `39`: implements a custom criterion for decision tree (2019-03-26)
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* `41`: implements a direct call to a lapack function from cython (2019-03-25)
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* `38`: better implementation of a regression criterion (2019-03-25)
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0.1.199 - 2019-03-05 - 0.05Mb
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* `37`: implements interaction_only for polynomial features (2019-02-26)
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* `36`: add parameter include_bias to extended features (2019-02-25)
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* `34`: rename PiecewiseLinearRegression into PiecewiseRegression (2019-02-23)

mlinsights/__init__.py

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@brief Module *mlinsights*.
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Look for insights for machine learned models.
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"""
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__version__ = "0.3.548"
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__version__ = "0.3.606"
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__author__ = "Xavier Dupré"
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__github__ = "https://github.com/sdpython/mlinsights"
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__url__ = "http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html"

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