Python check_params示例

示例#1

def test_pybrain_params():
    check_params(PyBrainClassifier,
                 layers=[1, 2],
                 epochs=5,
                 use_rprop=True,
                 hiddenclass=['LinearLayer'])
    check_params(PyBrainRegressor,
                 layers=[1, 2],
                 epochs=5,
                 etaplus=1.3,
                 hiddenclass=['LinearLayer'],
                 learningrate=0.1)

示例#2

文件： test_neurolab.py 项目： zhoudaqing/rep

def test_neurolab_params():
    check_params(NeurolabClassifier,
                 layers=[1, 2],
                 epochs=5,
                 trainf='blah',
                 cn=2,
                 omnomnom=4)
    check_params(NeurolabRegressor,
                 layers=[1, 2],
                 epochs=5,
                 trainf='blah',
                 cn=2,
                 omnomnom=4)

示例#3

def test_theanets_params():
    check_params(TheanetsClassifier,
                 layers=[1, 2],
                 scaler=False,
                 trainers=[{}, {
                     'optimize': 'nag'
                 }])
    check_params(TheanetsRegressor,
                 layers=[1, 2],
                 scaler=False,
                 trainers=[{}, {
                     'optimize': 'nag'
                 }])

示例#4

def test_theanets_params():
    check_params(TheanetsClassifier,
                 layers=[1, 2],
                 scaler=False,
                 trainers=[{}, {
                     'algo': 'nag',
                     'learning_rate': 0.1
                 }])
    check_params(TheanetsRegressor,
                 layers=[1, 2],
                 scaler=False,
                 trainers=[{}, {
                     'algo': 'nag',
                     'learning_rate': 0.1
                 }])

示例#5

文件： test_pybrain.py 项目： AlexanderTek/rep

def test_pybrain_params():
    check_params(PyBrainClassifier, layers=[1, 2], epochs=5, use_rprop=True, hiddenclass=['LinearLayer'])
    check_params(PyBrainRegressor, layers=[1, 2], epochs=5, etaplus=1.3, hiddenclass=['LinearLayer'], learningrate=0.1)

示例#6

文件： test_neurolab.py 项目： AlexanderTek/rep

def test_neurolab_params():
    check_params(NeurolabClassifier, layers=[1, 2], epochs=5, trainf='blah', cn=2, omnomnom=4)
    check_params(NeurolabRegressor, layers=[1, 2], epochs=5, trainf='blah', cn=2, omnomnom=4)

示例#7

文件： test_theanets.py 项目： eyadsibai/rep

def test_theanets_params():
    check_params(TheanetsClassifier, layers=[1, 2], scaler=False, trainers=[{}, {'optimize': 'nag'}])
    check_params(TheanetsRegressor, layers=[1, 2], scaler=False, trainers=[{}, {'optimize': 'nag'}])

示例#8

文件： test_theanets.py 项目： jithsjoy/rep

def test_theanets_params():
    check_params(TheanetsClassifier, layers=[1, 2], scaler=False, trainers=[{}, {'algo': 'nag', 'learning_rate': 0.1}])
    check_params(TheanetsRegressor, layers=[1, 2], scaler=False, trainers=[{}, {'algo': 'nag', 'learning_rate': 0.1}])