v0.9.2

What's Changed 👀

• Fix issue 525 in contribution guidelines with syntax errors in hyperlinks and other formatting issues.
• Fix issue 495 to center correctly the prediction intervals
• Fix issue 528 to correct broken ENS image in the documentation
• Fix issue 548 to correct labels generated in tutorial
• Fix issue 547 to fix wrong warning
• Fix issue 480 (correct display of mathematical equations in generated notebooks)
• Temporary solution waiting for issue 588 to be fixed (optimize_beta not working)
• Remove several irrelevant user warnings
• Limit max sklearn version allowed at MAPIE installation
• Refactor MapieRegressor, EnsembleRegressor, and MapieQuantileRegressor, to prepare for the release of v1.0.0
• Documentation build: fix warnings, fix image generation, update sklearn version requirement
• Documentation test: add a doc testing step (in MAKEFILE and CI)
• Increase max line length from 79 to 88 characters
• Bump wheel version
• Other minor evolutions

Full Changelog: v0.9.1...v0.9.2

Contributors 🙌🏻

Warm thanks to all contributors involved!

• [NEW] @Leo-GG
• [NEW] @jawharmohammed
• [NEW] @sulphatet
• [NEW] @Valentin-Laurent
• @jawadhussein462
• @thibaultcordier
• @vincentblot28
• @LacombeLouis

v0.9.1

Fix of the issue #511 to keep the compatibility with older versions of MAPIE

v0.9.0

What's Changed

• 238 giving a fraction of samples instead of a number of samples in the subsample class by @BaptisteCalot in #464
• Change the sign in the equation of C_k in the Kolmogorov-Smirnov statistical test documentation by @BaptisteCalot in #470
• Unit tests for different subsamples by @BaptisteCalot in #468
• Building of Ensemble Classifier from MapieClassifier by @BaptisteCalot in #445
• ENH: externalize MapieClassifier methods into several non-conformity scores by @thibaultcordier in #476
• Update Github links that point to files in Mapie files by @BaptisteCalot in #486
• 473 replace assert nparray equal by nptestingassert array equal in all mapie unit tests by @BaptisteCalot in #485
• Update ts-changepoint-notebook by @BaptisteCalot in #487
• Import in the ts-changepoint notebook related to conformity scores is incorrect by @BaptisteCalot in #498
• Use the existing tutorial on ts changepoint to align the notebook by @BaptisteCalot in #490
• Add : **predict_params in fit and predict method for Mapie Regression by @BaptisteCalot in #471
• 493 add mondrian cp by @vincentblot28 in #504
• Add : **predict_params in fit and predict method for Mapie Classifier by @BaptisteCalot in #502
• chore: Refactor train-test split in plot_cqr_tutorial.py by @LacombeLouis in #482
• Refactor citation link in README.rst by @LacombeLouis in #509

Full Changelog: v0.8.6...v0.9.0

v0.8.6

What's Changed

• Updating sphinx version by @LacombeLouis in #466
• FIX bug #462: Decoupling infinite interval production, asymmetric conformal scores and quantile calculation by @thibaultcordier in #463

Full Changelog: v0.8.5...v0.8.6

v0.8.5

What's Changed

• FIX worklow issue with macos-python3.11 by @BaptisteCalot in #429
• chore: update miniconda version to latest stable by @LacombeLouis in #440
• FIX: Put lower threshold for difference by @LacombeLouis in #433
• FIX: change emails by @LacombeLouis in #436
• 425 readme page broken by @LacombeLouis in #435
• ENH: move get_true_label_position to utils in classification by @BaptisteCalot in #427
• chore: Update urllib to requests for downloading data by @LacombeLouis in #446
• 400 create citations using GitHub by @LacombeLouis in #442
• 249 clarification of the symmetry argument in cqr and more general documentation about cqr by @LacombeLouis in #443
• 415 documentation for winkler interval score by @LacombeLouis in #444
• Switch from the bostom dataset to the toy dataset by @thibaultcordier in #461
• FIX bug #452: Quantile Correction by @thibaultcordier in #453

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

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

v0.8.4

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

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.