tf.keras.utils.HDF5Matrix

Representation of HDF5 dataset to be used instead of a Numpy array.

Compat aliases for migration

tf.compat.v1.keras.utils.HDF5Matrix

tf.keras.utils.HDF5Matrix(
    datapath, dataset, start=0, end=None, normalizer=None
)

THIS CLASS IS DEPRECATED. Training with HDF5Matrix may not be optimized for performance, and might not work with every distribution strategy.

We recommend using https://github.com/tensorflow/io to load your HDF5 data into a tf.data Dataset and passing that dataset to Keras.

Arguments
`datapath`	string, path to a HDF5 file
`dataset`	string, name of the HDF5 dataset in the file specified in datapath
`start`	int, start of desired slice of the specified dataset
`end`	int, end of desired slice of the specified dataset
`normalizer`	function to be called on data when retrieved

Raises
ImportError if HDF5 & h5py are not installed

Attributes
`dtype`	Gets the datatype of the dataset.
`ndim`	Gets the number of dimensions (rank) of the dataset.
`shape`	Gets a numpy-style shape tuple giving the dataset dimensions.
`size`	Gets the total dataset size (number of elements).

Methods

__getitem__(
    key
)

__len__()

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/utils/HDF5Matrix