codes.utils.data_utils#

Functions

`check_and_load_data`(dataset_name[, verbose, ...])	Check the specified dataset and load the data based on the mode (train or test).
`create_dataset`(name, train_data[, ...])	Creates a new dataset in the data directory.
`create_hdf5_dataset`(train_data, test_data, ...)	Create an HDF5 file for a dataset with train and test data, and optionally timesteps.
`download_data`(dataset_name[, path])	Download the specified dataset if it is not present :type dataset_name: `str` :param dataset_name: The name of the dataset.
`get_data_subset`(full_train_data, ...)	Get the appropriate data subset based on the mode and metric.
`normalize_data`(train_data[, test_data, ...])	Normalize the data based on the training data statistics.

Exceptions

Error for missing data or dataset or if the data shape is incorrect.