tfds.visualization.show_statistics

Display the datasets statistics on a Colab/Jupyter notebook.

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Main aliases

tfds.show_statistics

tfds.visualization.show_statistics(
    ds_info: dataset_info.DatasetInfo,
    split: splits.Split = splits.Split.TRAIN,
    disable_logging: bool = True
) -> None

tfds.show_statistics is a wrapper around tensorflow_data_validation which calls tfdv.visualize_statistics. Statistics are displayed using FACETS OVERVIEW.

Usage:

builder = tfds.builder('mnist')
tfds.show_statistics(builder.info)

Or:

ds, ds_info = tfds.load('mnist', with_info)
tfds.show_statistics(ds_info)

Note: In order to work, tensorflow_data_validation must be installed and the dataset info object must contain the statistics. For "official" datasets, only datasets which have been added/updated recently will contains statistics. For "custom" datasets, you need to generate the dataset with tensorflow_data_validation installed to have the statistics.

Args
ds_info	The tfds.core.DatasetInfo object containing the statistics.
split	Split for which generate the statistics.
disable_logging	bool, if True, disable the tfdv logs which can be too verbose.

Returns
None