def_model_keras: Define neuronal model with Keras

In berthetclement/spam: Model analisys on data spam

Description

Type of model is sequential.

Usage

def_model_keras(
  input_neuro,
  nb__neuro_cc,
  fct_activ,
  name_loss,
  name_optimizer,
  name_metrics
)

Arguments

input_neuro	Number to define "input shape".
nb__neuro_cc	Number of neurons of blind layer.
fct_activ	Name of activation function.
name_loss	Name of loss function.
name_optimizer	Name of optimizer parameter.
name_metrics	Name of metrics.

See Also

keras_model_sequential(), compile.keras.engine.training.Model().

Other modeling functions: cv_glm_net(), fit_keras(), glm_logit(), glm_net(), tree_rpart()

berthetclement/spam documentation built on Oct. 4, 2020, 9:03 p.m.