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Author:
None
Summary:
Python library designed to analyze and compare the performance of different algorithms across multiple problems using non-parametric statistical tests
Latest version:
1.5.0
Required dependencies:
jinja2
|
matplotlib
|
numpy
|
pandas
|
papermill
|
python-dotenv
|
scikit-posthocs
|
scipy
|
seaborn
Optional dependencies:
black
|
coverage
|
flake8
|
ipykernel
|
ipython
|
isort
|
mypy
|
nbconvert
|
papermill
|
pillow
|
pre-commit
|
pytest
|
pytest-cov
|
sphinx
|
sphinx-rtd-theme
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