tf.keras.utils.HDF5Matrix | TensorFlow v2.0.0 (original) (raw)

tf.keras.utils.HDF5Matrix

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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
)

    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.

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).

__getitem__(
    key
)

__len__()

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Last updated 2020-10-01 UTC.