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0.5.0
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henrikbostrom authored Jun 2, 2023
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16 changes: 16 additions & 0 deletions CHANGELOG.md
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# Changelog

## v0.5.0 (02/06/2023)

### Feature

- The full cpds matrix is calculated only if requested to be output (``return_cpds=True``) by the ``predict`` method of ``ConformalPredictiveSystem`` or if the set of metrics include "CRPS" for the ``evaluate`` method. This allows large test and calibration sets to be handled without excessive use of memory in other cases. Thanks to @christopherjluke and @SebastianLeborg for highlighting and discussing the problem.

### Fixes

- Default values for mandatory arguments for the methods ``fit``, ``predict`` and ``evaluate`` methods of ``ConformalRegressor`` and ``ConformalPredictiveSystem``, as well as the function ``binning`` in ``crepes.extras``, are no longer provided

- ``y_min`` and ``y_max`` correctly inserted for all percentiles

- The ``evaluate`` method for ``ConformalPredictiveSystem`` fixed to work correctly even if CRPS not included in metrics, and if all test objects belong to the same Mondrian category

- Incorrect values for percentiles will render an error message

## v0.4.0 (16/05/2023)

### Feature
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2 changes: 1 addition & 1 deletion setup.py
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setuptools.setup(
name="crepes",
version="0.4.0",
version="0.5.0",
author="Henrik Boström",
author_email="bostromh@kth.se",
description="Conformal regressors and predictive systems (crepes)",
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