Currently DeepOBS includes nine different data sets. Each data set inherits from the same base class with the following signature.
Base class for DeepOBS data sets.
Parameters: batch_size (int) -- The mini-batch size to use.
A tuple of tensors, yielding batches of data from the dataset. Executing these tensors raises a
tf.errors.OutOfRangeErrorafter one epoch.
A tensorflow operation initializing the dataset for the training phase.
A tensorflow operation initializing the testproblem for evaluating on training data.
A tensorflow operation initializing the testproblem for evaluating on test data.
A string-value tf.Variable that is set to
test, depending on the current phase. This can be used by testproblems to adapt their behavior to this phase.