tf.keras.utils.HDF5Matrix

Class HDF5Matrix

Defined in tensorflow/python/keras/_impl/keras/utils/io_utils.py.

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

Example:

x_data = HDF5Matrix('input/file.hdf5', 'data')
model.predict(x_data)

Providing start and end allows use of a slice of the dataset.

Optionally, a normalizer function (or lambda) can be given. This will be called on every slice of data retrieved.

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

Returns:

An array-like HDF5 dataset.

Properties

dtype

Gets the datatype of the dataset.

Returns:

A numpy dtype string.

ndim

Gets the number of dimensions (rank) of the dataset.

Returns:

An integer denoting the number of dimensions (rank) of the dataset.

shape

Gets a numpy-style shape tuple giving the dataset dimensions.

Returns:

A numpy-style shape tuple.

size

Gets the total dataset size (number of elements).

Returns:

An integer denoting the number of elements in the dataset.

Methods

__init__

__init__(
    datapath,
    dataset,
    start=0,
    end=None,
    normalizer=None
)

Initialize self. See help(type(self)) for accurate signature.

__getitem__

__getitem__(key)

__len__

__len__()

Class Members

refs