fit_keras: Execute neuronal model with Keras
In berthetclement/spam: Model analisys on data spam
Description
Usage
Arguments
See Also
Description
Type of model is sequential.
Usage
1
fit_keras(keras_model, train, name_response, nb_epochs, param_batch_size)
Arguments
keras_model
Keras model object to fit.
train
Data frame.
name_response
Name of response variable.
nb_epochs
Number of epochs.
param_batch_size
Number of samples per gradient update.
See Also
Other modeling functions:
cv_glm_net(),
def_model_keras(),
glm_logit(),
glm_net(),
tree_rpart()
berthetclement/spam documentation built on Oct. 4, 2020, 9:03 p.m.
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Description Usage Arguments See Also
Description
Type of model is sequential.
Usage
1 | fit_keras(keras_model, train, name_response, nb_epochs, param_batch_size)
|
Arguments
keras_model |
Keras model object to fit. |
train |
Data frame. |
name_response |
Name of response variable. |
nb_epochs |
Number of epochs. |
param_batch_size |
Number of samples per gradient update. |
See Also
Other modeling functions:
cv_glm_net(),
def_model_keras(),
glm_logit(),
glm_net(),
tree_rpart()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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