This module contains helper functions and classes that allow you to prototype quickly or that can be used for writing tests.
:class:`.MLPModule` is a simple PyTorch :class:`~torch.nn.Module` that implements a multi-layer perceptron. It allows to indicate the number of input, hidden, and output units, as well as the non-linearity and use of dropout. You can use this module directly in conjunction with :class:`.NeuralNet`.
Additionally, the functions :func:`~skorch.toy.make_classifier`, :func:`~skorch.toy.make_binary_classifier`, and :func:`~skorch.toy.make_regressor` can be used to return a :class:`.MLPModule` with the defaults adjusted for use in multi-class classification, binary classification, and regression, respectively.