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CHANGELOG.md

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# Changelog
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## v0.5.0 (02/06/2023)
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### Feature
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- 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.
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### Fixes
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- 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
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- ``y_min`` and ``y_max`` correctly inserted for all percentiles
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- 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
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- Incorrect values for percentiles will render an error message
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## v0.4.0 (16/05/2023)
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### Feature

setup.py

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setuptools.setup(
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name="crepes",
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version="0.4.0",
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version="0.5.0",
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author="Henrik Boström",
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author_email="bostromh@kth.se",
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description="Conformal regressors and predictive systems (crepes)",

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