Source code for ardent.presets.batch_preprocessing

from ardent.preprocessing import preprocess

[docs]def basic_preprocessing(data): """ Call each of the listed preprocessing functions on <data> and return the result. Preprocessing functions: - cast_to_typed_array - normalize_by_MAD - center_to_mean Args: data (np.ndarray, list): An array to be preprocessed, or a list of arrays to be preprocessed. Returns: np.ndarray, list: The input array <data> after preprocessing, or each preprocessed array from the input list <data> if a list of arrays was provided. """ return preprocess(data, ['cast_to_typed_array', 'normalize_by_MAD', 'center_to_mean'])
[docs]def basic_preprocessing_with_pad(data): """ Call each of the listed preprocessing functions on <data> and return the result. Preprocessing functions: - cast_to_typed_array - pad - normalize_by_MAD - center_to_mean Args: data (np.ndarray, list): An array to be preprocessed, or a list of arrays to be preprocessed. Returns: np.ndarray, list: The input array <data> after preprocessing, or each preprocessed array from the input list <data> if a list of arrays was provided. """ return preprocess(data, ['cast_to_typed_array', 'pad', 'normalize_by_MAD', 'center_to_mean'])