Version 0.8.3

What's Changed

• Add fit parameters passing by @sami-ka in #391
• Fix: corrected some spelling errors by @isaiahthedev in #401
• Fix: corrected spelling throughout doc #402 by @isaiahthedev in #404
• Allow MapieRegressor to use K-fold iterator variants with stratification and groups. by @pidefrem in #393
• 410 mapiequantileregressor predict method causing memoryerror by @LacombeLouis in #412
• Added regression_MWI_score function by @Carl-McBride-Ellis in #408
• Update authors' email addresses by @LacombeLouis in #419
• Fix import order in Python files by @LacombeLouis in #420
• FIX: update history file by @LacombeLouis in #422

New Contributors

• @sami-ka made their first contribution in #391
• @isaiahthedev made their first contribution in #401
• @pidefrem made their first contribution in #393
• @Carl-McBride-Ellis made their first contribution in #408

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

Bug fix for 0.8.0

What's Changed

• Fix issue with the pandas import by @thibaultcordier in #396
• Update mypy version to 1.7.1 by @LacombeLouis in #399

Full Changelog: v0.8.0...v0.8.2

Version 0.8.0

• 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

• 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

• 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.

Fix Runtime Warning with RAPS method

v0.6.4

Bump version: 0.6.3 → 0.6.4

Fix bug

Fix bug when labels are string or do not start at 0

Version 0.6.2

• Make MapieClassifier a scikit-learn object
• Update documentation for MapieClassifier

FIX issue #266 by taking into account very low scores in classification

v0.6.1

Bump version: 0.6.0 → 0.6.1

Version 0.6.0

• Add Risk-Controlling Prediction Sets (RCPS) and Conformal Risk Control (CRC)
• Add Top-Label Calibration
• Fix issues in CQR warning and cumulated scores in classification