qxmt.datasets.transform package

qxmt.datasets.transform package#

Submodules#

qxmt.datasets.transform.reduction_by_pca module#

qxmt.datasets.transform.reduction_by_pca.dimension_reduction_by_pca(X_train, y_train, X_val, y_val, X_test, y_test, n_components, random_seed=None)#

Dimension reduction by PCA

Parameters:

  • X_train (np.ndarray) – numpy array of training data

  • y_train (np.ndarray) – numpy array of training label

  • X_val (Optional[np.ndarray]) – numpy array of validation data. None if validation set is not used

  • y_val (Optional[np.ndarray]) – numpy array of validation data. None if validation set is not used

  • X_test (np.ndarray) – numpy array of testing data

  • y_test (np.ndarray) – numpy array of testing label

  • n_components (int) – number of components to keep

  • random_seed (int | None)

Returns:

tuple of processed dataset

Return type:

PROCESSCED_DATASET_TYPE

Module contents#