mlinsights

Extends the list of supported operators in onnx reference implementation and onnxruntime, or implements faster versions in C++.

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https://github.com/sdpython/mlinsights/blob/main/_doc/sphinxdoc/source/_static/project_ico.png?raw=true

mlinsights: extensions to scikit-learn

https://dev.azure.com/xavierdupre3/mlinsights/_apis/build/status%2Fsdpython.mlinsights%20(2)?branchName=main

https://codecov.io/github/sdpython/mlinsights/coverage.svg?branch=main

mlinsights extends scikit-learn with a couple of new models, transformers, metrics, plotting. It provides new trainers such as QuantileLinearRegression which trains a linear regression with L1 norm non-linear correlation based on decision trees, or QuantileMLPRegressor a modification of scikit-learn’s MLPRegressor which trains a multi-layer perceptron with L1 norm. It also explores PredictableTSNE which trains a supervized model to replicate t-SNE results or a PiecewiseRegression which partitions the data before fitting a model on each bucket. PiecewiseTreeRegressor trains a piecewise regressor using a linear regression on each piece. IntervalRegressor produces confidence interval by using bootstrapping. ApproximateNMFPredictor approximates a NMF to produce prediction without retraining.

mlinsights documentation

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Release history Release notifications | RSS feed

0.5.1

Sep 14, 2024

This version

0.5.0

Nov 5, 2023

0.4.664

Jul 3, 2023

0.3.649

Jul 22, 2022

0.3.631

May 19, 2022

0.3.614

Oct 2, 2021

0.3.606

Aug 22, 2021

0.3.549

Jan 9, 2021

0.3.543

Jan 3, 2021

0.2.508

Sep 2, 2020

0.2.491

Aug 6, 2020

0.2.463

Jun 29, 2020

0.2.450

Jun 8, 2020

0.2.447

Jun 3, 2020

0.2.360

Sep 15, 2019

0.2.312

Jul 13, 2019

0.2.288

May 28, 2019

0.1.199

Mar 5, 2019

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