Implement machine learning algorithms with python without sklearn.
Implement machine learning algorithms with python without sklearn. Some classes are design especially for CQU-ML course by Professor.He
- With pip : pip3 install cquai-ml
- With src : Clone or fork this project, then build it with python3 setup.py install
In most cases, API in this project is similar to scikit-learn project.
For example, if you want to run a decision tree classifier based on C4.5 (While scikit-learn use opt-CART instead of C4.5)
from cquai_ml import DecisionTreeClassifier from sklearn.datasets import load_breast_cancer # get a dataset X, y = load_breast_cancer(return_X_y=True) clf1 = DecisionTreeClassifier(max_depth=1).fit(X, y) pred1 = clf1.predict(X)
Everyone is welcomed to contribute!
- We currently provides:
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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