semvec/pypi-packages huggingface dataset:
caliber 0.1.19
Model-agnostic calibration and performance enhancement.
License: Apache-2.0
Requires Python: <3.12,>=3.9

caliber
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Caliber is a toolkit designed to enhance the calibration and overall performance
of your machine learning models.
It operates independently of your specific models,
offering a flexible and agnostic approach.
Caliber's methods are lightweight and generally fast,
making them easy to integrate as add-ons within your existing pipeline with minimal effort.

Installation
============
You can install caliber via

.. code-block::

    pip install caliber

The following extras are available:

- :code:`torch`: install `PyTorch <https://pytorch.org/>`_ dependencies.
- :code:`docs`: install `Sphinx <https://www.sphinx-doc.org/en/master/>`_ dependencies.

Alternatively, you can build the package using `Poetry <https://python-poetry.org/>`_.

License
=======
This project is licensed under the Apache-2.0 License.