Metadata-Version: 2.1
Name: MLLytics
Version: 0.1.6
Summary: A library of tools for easier evaluation of ML models.
Home-page: https://github.com/scottclay/MLLytics
Author: Scott Clay
Author-email: scottclay8@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Dist: numpy (>=1.14.3)
Requires-Dist: matplotlib (>=2.2.2)
Requires-Dist: seaborn (>=0.8.1)
Requires-Dist: pandas (>=0.23.0)
Requires-Dist: scikit-learn (>=0.19.1)

# MLLytics

python setup.py sdist bdist_wheel

Creates the package

python setup.py install

Installs the package from source

twine upload --repository pypi *0.1.4*

Upload package


To do:

* Fix size of confusion matrix
* Update reliability plot https://machinelearningmastery.com/calibrated-classification-model-in-scikit-learn/
* Repeated cross-validation (and x-val in general)
* Extra output metrics
* Brier score for calibration plot
* joy plots
* switch to sklearn micro average metrics? https://scikit-learn.org/stable/modules/generated/sklearn.metrics.recall_score.html#sklearn.metrics.recall_score

