reexports {processpredictR}R Documentation

Default compile function for ProcessTransformer model

Description

These objects are imported from other packages. Follow the links below to see their documentation.

keras

compile, evaluate, fit

stats

predict

Arguments

optimizer

Default optimizer for ppred_model

loss

Default loss for ppred_model

metrics

Default metrics for ppred_model

train_data

A training dataset

batch_size

A batch size

num_epochs

A number of epochs

verbose

A verbose

callbacks

list: A list of callbacks. keras default is NULL, but can be adjusted (ex. keras::callback_csv_logger(filename = paste("log_", object$task)), #or NULL keras::callback_tensorboard())

shuffle

logical (default TRUE): If TRUE shuffles the data

validation_split

A ratio to split on

object

ppred_model (default NULL): ProcessTransformer model of class ppred_model.

test_data

ppred_examples_df (default NULL): preprocessed test data.

append

logical (default FALSE): if TRUE, returns a passed data.frame with predicted values.

...

Additional arguments

See Also

See keras::fit() for documentation of parameters


[Package processpredictR version 0.1.0 Index]