tlt.datasets.tf_dataset.TFDataset¶

class tlt.datasets.tf_dataset.TFDataset(dataset_dir, dataset_name='', dataset_catalog='')[source]¶

Base class to represent a TF Dataset

__init__(dataset_dir, dataset_name='', dataset_catalog='')[source]¶: Class constructor

Methods

`__init__`(dataset_dir[, dataset_name, ...])	Class constructor
`get_batch`([subset])	Get a single batch of images and labels from the dataset.
`get_inc_dataloaders`()
`shuffle_split`([train_pct, val_pct, ...])	Randomly split the dataset into train, validation, and test subsets with a pseudo-random seed option.

Attributes

`dataset`	The framework dataset object
`dataset_catalog`	The string name of the dataset catalog (or None)
`dataset_dir`	Host directory containing the dataset files
`dataset_name`	Name of the dataset
`test_subset`	A subset of the dataset held out for final testing/evaluation
`train_subset`	A subset of the dataset used for training
`validation_subset`	A subset of the dataset used for validation/evaluation