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A library of tools for easier evaluation of ML models.

Project description

MLLytics

Installation instructions

pip install MLLytics or python setup.py install or conda env create -f environment.yml

Update pypi instructions (for me)

Creates the package python setup.py sdist bdist_wheel Upload package twine upload --repository pypi *version_files*

Future

Improvements and cleanup

  • Allow figure size and font sizes to be passed into plotting functions
  • Comment all functions and classes
  • Add type hinting to all functions and classes (https://mypy.readthedocs.io/en/latest/cheat_sheet_py3.html)
  • Example guides for each function in jupyter notebooks
  • MultiClassMetrics should inherit from ClassMetrics
  • REGRESSION

Cosmetic

  • Fix size of confusion matrix
  • Check works with matplotlib 3
  • Tidy up legends and annotation text on plots
  • Joy plots
  • Brier score for calibration plot
  • Tidy up cross validation and plots (also repeated cross-validation)
  • Acc-thresholds graph

Big push

Contributing Authors

  • Scott Clay
  • David Sullivan

Project details


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Files for MLLytics, version 0.1.14
Filename, size File type Python version Upload date Hashes
Filename, size MLLytics-0.1.14-py2.py3-none-any.whl (12.2 kB) File type Wheel Python version py2.py3 Upload date Hashes View hashes
Filename, size MLLytics-0.1.14.tar.gz (11.3 kB) File type Source Python version None Upload date Hashes View hashes

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