tf.keras.utils.HDF5Matrix

TensorFlow 1 version View source on GitHub

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

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.

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

ImportError if HDF5 & h5py are not installed

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__

View source

__getitem__(
    key
)

__len__

View source

__len__()

Class Variables

  • refs