Type HDF5Matrix
Namespace tensorflow.keras.utils
Parent PythonObjectContainer
Interfaces IHDF5Matrix
Representation of HDF5 dataset to be used instead of a Numpy array. Example:
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.
Show Example
x_data = HDF5Matrix('input/file.hdf5', 'data')
model.predict(x_data)
Methods
Properties
Public instance methods
string __getitem__(ndarray key)
string __getitem__(IEnumerable<int> key)
string __getitem__(ValueTuple<int, PythonClassContainer> key)
Public static methods
HDF5Matrix NewDyn(object datapath, object dataset, ImplicitContainer<T> start, object end, object normalizer)
Initialize self. See help(type(self)) for accurate signature.
Public properties
string data get; set;
object dtype get;
Gets the datatype of the dataset.
object dtype_dyn get;
Gets the datatype of the dataset.
Nullable<int> end get; set;
string Item get;
object ndim get;
Gets the number of dimensions (rank) of the dataset.
object ndim_dyn get;
Gets the number of dimensions (rank) of the dataset.
object normalizer get; set;
object PythonObject get;
PythonClassContainer refs get; set;
object refs_dyn get; set;
object shape get;
Gets a numpy-style shape tuple giving the dataset dimensions.
object shape_dyn get;
Gets a numpy-style shape tuple giving the dataset dimensions.
object size get;
Gets the total dataset size (number of elements).
object size_dyn get;
Gets the total dataset size (number of elements).