def test_pybrain_Tanh():
check_classifier(PyBrainClassifier(layers=[10], hiddenclass=['TanhLayer']),
has_staged_pp=False,
has_importances=False,
supports_weight=False)
check_regression(PyBrainRegressor(layers=[10], hiddenclass=['TanhLayer']),
has_staged_predictions=False,
has_importances=False,
supports_weight=False)
def test_pybrain_Linear_MDLSTM():
check_classifier(
PyBrainClassifier(epochs=2,
layers=[10, 2],
hiddenclass=['LinearLayer', 'MDLSTMLayer']),
**classifier_params)
check_regression(
PyBrainRegressor(epochs=3,
layers=[10, 2],
hiddenclass=['LinearLayer', 'MDLSTMLayer']),
**regressor_params)
def test_pybrain_SoftMax_Tanh():
check_classifier(
PyBrainClassifier(epochs=10,
layers=[5, 2],
hiddenclass=['TanhLayer', 'SoftmaxLayer'],
use_rprop=True), **classifier_params)
check_regression(
PyBrainRegressor(
epochs=2,
layers=[10, 5, 2],
hiddenclass=['TanhLayer', 'SoftmaxLayer', 'TanhLayer']),
**regressor_params)
def test_pybrain_regression():
check_regression(PyBrainRegressor(), **regressor_params)
def test_pybrain_multi_regression():
check_regression(PyBrainRegressor(), n_targets=4, **regressor_params)
def test_pybrain_regression():
check_regression(PyBrainRegressor(),
has_staged_predictions=False,
has_importances=False,
supports_weight=False)
