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Releases: scikit-learn-contrib/MAPIE

v0.9.1

13 Sep 08:22
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Fix of the issue #511 to keep the compatibility with older versions of MAPIE

v0.9.0

03 Sep 15:43
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Full Changelog: v0.8.6...v0.9.0

v0.8.6

17 Jun 08:12
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Full Changelog: v0.8.5...v0.8.6

v0.8.5

07 Jun 16:22
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Full Changelog: v0.8.3...v0.8.4

Full Changelog: v0.8.4...v0.8.5

v0.8.4

07 Jun 16:13
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v0.8.4 Pre-release
Pre-release

What's Changed

  • See the v0.8.5 which replaces the v0.8.4

Full Changelog: v0.8.3...v0.8.4

Version 0.8.3

01 Mar 16:00
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New Contributors

Full Changelog: v0.8.2...v0.8.3

Bug fix for 0.8.0

11 Jan 15:24
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Version 0.8.0

03 Jan 17:38
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  • Add Adaptative Conformal Inference (ACI) method for MapieTimeSeriesRegressor.
  • Add Coverage Width-based Criterion (CWC) metric.
  • Allow to use more split methods for MapieRegressor (ShuffleSplit, PredefinedSplit).
  • Allow infinite prediction intervals to be produced in regressor classes.
  • Integrate ConformityScore into MapieTimeSeriesRegressor.
  • Add (extend) the optimal estimation strategy for the bounds of the prediction intervals for regression via ConformityScore.
  • Add new checks for metrics calculations.
  • Fix reference for residual normalised score in documentation.

Version 0.7.0

14 Sep 10:23
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  • Add prediction set estimation for binary classification.
  • Add Learn-Then-Test method for multilabel-classification.
  • Add documentation and notebooks for LTT.
  • Add a new conformity score, ResidualNormalisedScore, that takes X into account and allows to compute adaptive intervals.
  • Refactor MapieRegressor and ConformityScore to add the possibility to use X in ConformityScore.
  • Separate the handling of the estimator from MapieRegressor into a new class called EnsembleEstimator.
  • Add statistical calibration tests in binary classification.
  • Rename methods (score to lac and cumulated_score to aps) in MapieClassifier.
  • Add more notebooks and examples.
  • Fix an unfixed random state in one of the classification tests.
  • Fix and preserve the split behavior of the check_cv method with and without random state.

Version 0.6.5

26 Jun 18:11
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  • Add grouped conditional coverage metrics named SSC for regression and classification
  • Add HSIC metric for regression
  • Migrate conformity scores classes into conformity_scores module
  • Migrate regression classes into regression module
  • Add split conformal option for regression and classification
  • Update check method for calibration
  • Fix bug in MapieClassifier with different number of labels in calibration dataset.