openfl.federated.data.loader_keras.KerasDataLoader

class openfl.federated.data.loader_keras.KerasDataLoader(batch_size, **kwargs)

Bases: DataLoader

A class used to represent a Federation Data Loader for Keras models.

Class Attributes:

• batch_size (int) – Size of batches used for all data loaders.

• X_train (np.array) – Training features.

• y_train (np.array) – Training labels.

• X_valid (np.array) – Validation features.

• y_valid (np.array) – Validation labels.

Methods

get_feature_shape	Returns the shape of an example feature array.
get_infer_loader	Returns the data loader for inferencing data.
get_train_data_size	Returns the total number of training samples.
get_train_loader	Returns the data loader for the training data.
get_valid_data_size	Returns the total number of validation samples.
get_valid_loader	Returns the data loader for the validation data.

get_feature_shape()

Returns the shape of an example feature array.

Returns:

tuple – The shape of an example feature array.

get_infer_loader()

Returns the data loader for inferencing data.

Raises:

NotImplementedError – This method must be implemented by a child class.

get_train_data_size()

Returns the total number of training samples.

Returns:

int – The total number of training samples.

get_train_loader(batch_size=None, num_batches=None)

Returns the data loader for the training data.

Parameters:

• batch_size (int, optional) – The batch size for the data loader (default is None).

• num_batches (int, optional) – The number of batches for the data loader (default is None).

Returns:

DataLoader – The DataLoader object for the training data.

get_valid_data_size()

Returns the total number of validation samples.

Returns:

int – The total number of validation samples.

get_valid_loader(batch_size=None)

Returns the data loader for the validation data.

Parameters:

batch_size (int, optional) – The batch size for the data loader (default is None).

Returns:

DataLoader – The DataLoader object for the validation data.