ML-Algorithm
Introduction
Implement machine learning algorithms with python without sklearn. Some classes are design especially for CQU-ML course by Professor.He
Install
With pip : pip3 install cquai-ml
With src : Clone or fork this project, then build it with python3 setup.py install
Usage
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)Contributing
Everyone is welcomed to contribute!
- We currently provides:
DatasetSpace
UnionHypothesisSpace
LinearRegression
LogisticRegression
LinearDiscriminantAnalysis
KNeighborsClassifier
DecisionTreeRegressor
DecisionTreeClassifier
1 maintainer
Metadata
1 maintainer
Release files for cquai-ml 1.0.7
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