HDF5Matrix
keras.utils.io_utils.HDF5Matrix(datapath, dataset, start=0, end=None, normalizer=None)
Representation of HDF5 dataset which can 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