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
)

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.

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

An array-like HDF5 dataset.

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__

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__len__()

Class Variables

  • refs