.. _l-HISTORY: ======= History ======= current - 2022-07-22 - 0.00Mb ============================= * :issue:`105`: Update for python 3.10 (2022-07-22) * :issue:`108`: Uses f strings (2022-07-19) 0.3.631 - 2022-05-19 - 0.52Mb ============================= * :issue:`107`: Updates CI for scikit-learn==1.1 (2022-05-18) * :issue:`106`: Fixes failing import _joblib_parallel_args (2022-02-18) * :issue:`99`: LICENSE file missing in PyPI release (2021-11-20) 0.3.614 - 2021-10-02 - 0.52Mb ============================= * :issue:`103`: Updates for scikit-learn>=1.0 (2021-10-02) * :issue:`94`: Fixed Numpy boolean array indexing issue for 2dim arrays. (2021-09-27) 0.3.606 - 2021-08-22 - 0.52Mb ============================= * :issue:`102`: Implements numpy.digitalize with a DecisionTreeRegressor (2021-08-22) * :issue:`101`: Update CI to build manylinux for python 3.9 (2021-08-18) * :issue:`100`: Support parameter positive for QuantileLinearRegression (2021-06-23) * :issue:`96`: Fixes #95, PiecewiseRegressor, makes sure target are vectors (2021-05-27) * :issue:`95`: _apply_prediction_method boolean indexing incompatible with standard sklearn format (2021-05-27) * :issue:`80`: Piecewise Estimator: binner not a decision tree (2021-05-06) * :issue:`72`: Optimal decission tree for piecewise estimator (2021-05-06) * :issue:`98`: Fixes #97, fix issue with deepcopy and criterion (2021-05-03) * :issue:`97`: piecewise_decision_tree does not compile with the latest version of scikit-learn (2021-05-03) * :issue:`85`: Fixes #70, implements DecisionTreeLogisticRegression (2021-05-02) 0.3.549 - 2021-01-09 - 0.67Mb ============================= * :issue:`93`: Include build wheel for all platforms in CI (2021-01-09) 0.3.543 - 2021-01-03 - 0.67Mb ============================= * :issue:`89`: Install fails: ModuleNotFoundError: No module named 'sklearn' (2021-01-03) * :issue:`92`: QuantileMLPRegressor does not work with scikit-learn 0.24 (2021-01-01) * :issue:`91`: Fixes regression criterion for scikit-learn 0.24 (2021-01-01) * :issue:`90`: Fixes PipelineCache for scikit-learn 0.24 (2021-01-01) 0.2.508 - 2020-09-02 - 0.43Mb ============================= * :issue:`88`: Change for scikit-learn 0.24 (2020-09-02) * :issue:`87`: Set up CI with Azure Pipelines (2020-09-02) * :issue:`86`: Update CI, use python 3.8 (2020-09-02) * :issue:`71`: update kmeans l1 to the latest kmeans (signatures changed) (2020-08-31) * :issue:`84`: style (2020-08-30) 0.2.491 - 2020-08-06 - 0.83Mb ============================= * :issue:`83`: Upgrade version (2020-08-06) * :issue:`82`: Fixes #81, skl 0.22, 0.23 together (2020-08-06) * :issue:`81`: Make mlinsights work with scikit-learn 0.22 and 0.23 (2020-08-06) * :issue:`79`: pipeline2dot fails with 'passthrough' (2020-07-16) * :issue:`78`: Removes strong dependency on pyquickhelper (2020-06-29) * :issue:`77`: Add parameter trainable to TransferTransformer (2020-06-07) * :issue:`76`: ConstraintKMeans does not produce convex clusters. (2020-06-03) * :issue:`75`: Moves kmeans with constraint from papierstat. (2020-05-27) * :issue:`74`: Fix PipelineCache after as scikti-learn 0.23 changed the way parameters is handle in pipelines (2020-05-15) * :issue:`73`: ClassifierKMeans.__repr__ fails with scikit-learn 0.23 (2020-05-14) * :issue:`69`: Optimizes k-means with norm L1 (2020-01-13) * :issue:`66`: Fix visualisation graph: does not work when column index is an integer in ColumnTransformer (2019-09-15) * :issue:`59`: Add GaussianProcesses to the notebook about confidence interval and regression (2019-09-15) * :issue:`65`: Implements a TargetTransformClassifier similar to TargetTransformRegressor (2019-08-24) * :issue:`64`: Implements a different version of TargetTransformRegressor which includes predefined functions (2019-08-24) * :issue:`63`: Add a transform which transform the target and applies the inverse function of the prediction before scoring (2019-08-24) * :issue:`49`: fix menu in documentation (2019-08-24) * :issue:`61`: Fix bug in pipeline2dot when keyword "passthrough is used" (2019-07-11) * :issue:`60`: Fix visualisation of pipeline which contains string "passthrough" (2019-07-09) * :issue:`58`: Explores a way to compute recommandations without training (2019-06-05) * :issue:`56`: Fixes #55, explore caching for scikit-learn pipeline (2019-05-22) * :issue:`55`: Explore caching for gridsearchCV (2019-05-22) * :issue:`53`: implements a function to extract intermediate model outputs within a pipeline (2019-05-07) * :issue:`51`: Implements a tfidfvectorizer which keeps more information about n-grams (2019-04-26) * :issue:`46`: implements a way to determine close leaves in a decision tree (2019-04-01) * :issue:`44`: implements a model which produces confidence intervals based on bootstrapping (2019-03-29) * :issue:`40`: implements a custom criterion for a decision tree optimizing for a linear regression (2019-03-28) * :issue:`39`: implements a custom criterion for decision tree (2019-03-26) * :issue:`41`: implements a direct call to a lapack function from cython (2019-03-25) * :issue:`38`: better implementation of a regression criterion (2019-03-25) * :issue:`37`: implements interaction_only for polynomial features (2019-02-26) * :issue:`36`: add parameter include_bias to extended features (2019-02-25) * :issue:`34`: rename PiecewiseLinearRegression into PiecewiseRegression (2019-02-23) * :issue:`33`: implement the piecewise classifier (2019-02-23) * :issue:`31`: uses joblib for piecewise linear regression (2019-02-23) * :issue:`30`: explore transpose matrix before computing the polynomial features (2019-02-17) * :issue:`29`: explore different implementation of polynomialfeatures (2019-02-15) * :issue:`28`: implement PiecewiseLinearRegression (2019-02-10) * :issue:`27`: implement TransferTransformer (2019-02-04) * :issue:`26`: add function to convert a scikit-learn pipeline into a graph (2019-02-01) * :issue:`25`: implements kind of trainable t-SNE (2019-01-31) * :issue:`6`: use keras and pytorch (2019-01-03) * :issue:`22`: modifies plot gallery to impose coordinates (2018-11-10) * :issue:`20`: implements a QuantileMLPRegressor (quantile regression with MLP) (2018-10-22) * :issue:`19`: fix issues introduced with changes in keras 2.2.4 (2018-10-06) * :issue:`18`: remove warning from scikit-learn about cloning (2018-09-16) * :issue:`16`: move CI to python 3.7 (2018-08-21) * :issue:`17`: replace as_matrix by values (pandas deprecated warning) (2018-07-29) * :issue:`14`: add transform to convert a learner into a transform (sometimes called a featurizer) (2018-06-19) * :issue:`13`: add transform to do model stacking (2018-06-19) * :issue:`8`: move items from papierstat (2018-06-19) * :issue:`12`: fix bug in quantile regression: wrong weight for linear regression (2018-06-16) * :issue:`11`: specifying quantile (2018-06-16) * :issue:`4`: add function to compute non linear correlations (2018-06-16) * :issue:`10`: implements combination between logistic regression and k-means (2018-05-27) * :issue:`9`: move items from ensae_teaching_cs (2018-05-08) * :issue:`7`: add quantile regression (2018-05-07) * :issue:`5`: replace flake8 by code style (2018-04-14) * :issue:`1`: change background for cells in notebooks converted into rst then in html, highlight-ipython3 (2018-01-05) * :issue:`2`: save features and metadatas for the search engine and retrieves them (2017-12-03)