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- fcbf(X, y, **kwargs)
- This function implements Fast Correlation Based Filter algorithm
Input
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X: {numpy array}, shape (n_samples, n_features)
input data, guaranteed to be discrete
y: {numpy array}, shape (n_samples,)
input class labels
kwargs: {dictionary}
delta: {float}
delta is a threshold parameter, the default value of delta is 0
Output
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F: {numpy array}, shape (n_features,)
index of selected features, F[1] is the most important feature
Reference
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Yu, Lei and Liu, Huan. "Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution." ICML 2003.
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