Python sklearn.preprocessing.PowerTransformer() Examples
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Example #1
Source File: transformer.py From pyts with BSD 3-Clause "New" or "Revised" License | 6 votes |
def transform(self, X): """Transform the data. Parameters ---------- X : array-like, shape = (n_samples, n_timestamps) Data to transform. Returns ------- X_new : array-like, shape = (n_samples, n_timestamps) Transformed data. """ X = check_array(X, dtype='float64', force_all_finite='allow-nan') transformer = SklearnPowerTransformer( method=self.method, standardize=self.standardize ) X_new = transformer.fit_transform(X.T).T return X_new