EvaliPy

EvaliPy is an evaluation framework for machine learning Models.

The project was started in 2023. It's a package for evaluating different machine learning models and comparing them.

It's currently maintained by me :)

Dependencies

• Python (>= 3.5)
• NumPy (>= 1.17.3)
• joblib (>= 1.1.1)
• pandas (>= 1.5.0)
• matplotlib (>= 3.6.2)
• scikit-learn (>= 1.2.0)
• scipy (>= 1.10.0)
• seaborn (>= 0.12.2)

Installation

pip install evalipy

Usage

Import

from evalipy import *

Report

r = report.Report(model=model.Model(clf), actual_data=y, predicted_data=y_pred_1)
*(optional)* print(r)

Compare

...
tree_model.fit(X, y)
linear_model.fit(X, y)
...

comparator = comparator.Comparator(models=[linear_model, tree_model], x=X, actual_data=y)
print(comparator)

Authors

• MR-EIGHT (Mehrdad Heshmat)