def iris_model(x_train, y_train, x_val, y_val, params):
model = Sequential()
model.add(Dense(32, input_dim=4, activation=params['activation']))
model.add(Dense(3, activation='softmax'))
model.compile(optimizer=params['optimizer'], loss=params['losses'])
out = model.fit(x_train, y_train,
batch_size=params['batch_size'],
epochs=params['epochs'],
validation_data=[x_val, y_val],
verbose=0)
return out, model
p = {'activation':['relu', 'elu'],
'networks': ['conv1d', 'lstm'],
'optimizer': ['Nadam', 'Adam'],
'losses': ['logcosh'],
'hidden_layers':[0, 1, 2],
'batch_size': (20, 50, 5),
'epochs': [10, 20]}
scan_object = ta.Scan(x, y, model=iris_model, params=p, fraction_limit=0.1, experiment_name="first")
это пример кода. Могу ли я получить пример кода для автоматической модели?
в https://autonomio.github.io/talos/# / AutoModel здесь не пример кода.