Datasets

AR Face dataset

dictlearn.datasets.arface.load_data(path='arface.npz')

Loads the AR Face dataset

Parameters: path – path where to cache the dataset locally (relative to ~/.dl/datasets)
Returns: (x_train, y_train), (x_test, y_test)
Return type: Tuple of Numpy arrays

Example:

(X_train, y_train), (X_test, y_test) = arface.load_data()

dictlearn.datasets.caltech101.load_data(path='caltech101.npz')

Loads the Caltech101 dataset

Parameters: path – path where to cache the dataset locally (relative to ~/.dl/datasets)
Returns: (x_train, y_train), (x_test, y_test)
Return type: Tuple of Numpy arrays

Example:

(X_train, y_train), (X_test, y_test) = caltech101.load_data()

dictlearn.datasets.mnist.load_data(path='mnist.npz')

Loads the MNIST dataset

Parameters: path – path where to cache the dataset locally (relative to ~/.dl/datasets)
Returns: (x_train, y_train), (x_test, y_test)
Return type: Tuple of Numpy arrays

Example:

(X_train, y_train), (X_test, y_test) = mnist.load_data()

dictlearn.datasets.yaleb.load_data(path='yaleb.npz')

Loads the YaleB dataset

Parameters: path – path where to cache the dataset locally (relative to ~/.dl/datasets)
Returns: (x_train, y_train), (x_test, y_test)
Return type: Tuple of Numpy arrays

Example:

(X_train, y_train), (X_test, y_test) = yaleb.load_data()