standardize#
- class pinnx.utils.standardize(X_train, X_test)[source]#
Standardize features by removing the mean and scaling to unit variance.
The mean and std are computed from the training data X_train using sklearn.preprocessing.StandardScaler, and then applied to the testing data X_test.
- Parameters:
X_train – A NumPy array of shape (n_samples, n_features). The data used to compute the mean and standard deviation used for later scaling along the features axis.
X_test – A NumPy array.
- Returns:
Instance of
sklearn.preprocessing.StandardScaler. X_train: Transformed training data. X_test: Transformed testing data.- Return type:
scaler