tumourkit.utils.classification.normalize

tumourkit.utils.classification.normalize(X_train: ndarray, X_val: ndarray, X_test: ndarray) → Tuple[ndarray, ndarray, ndarray]

Normalizes the input data using the mean and standard deviation of the training dataset.

Parameters:

• X_train (numpy.ndarray) – The input training data with shape (n_samples, n_features).

• X_val (numpy.ndarray) – The input validation data with shape (n_samples, n_features).

• X_test (numpy.ndarray) – The input test data with shape (n_samples, n_features).

Returns:

A tuple containing three numpy.ndarrays: - The normalized X_train with shape (n_samples, n_features). - The normalized X_val with shape (n_samples, n_features). - The normalized X_test with shape (n_samples, n_features).

Return type:

tuple(numpy.ndarray, numpy.ndarray, numpy.ndarray)