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- low_variance_feature_selection(X, threshold)
- This function implements the low_variance feature selection (existing method in scikit-learn)
Input
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X: {numpy array}, shape (n_samples, n_features)
input data
p:{float}
parameter used to calculate the threshold(threshold = p*(1-p))
Output
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X_new: {numpy array}, shape (n_samples, n_selected_features)
data with selected features
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