Base R6 class for Keras callbacks
Base R6 class for Keras callbacks
An R6Class generator object
The logs named list that callback methods take as argument will
contain keys for quantities relevant to the current batch or epoch.
Currently, the fit.keras.engine.training.Model() method for sequential
models will include the following quantities in the logs that
it passes to its callbacks:
on_epoch_end: logs include acc and loss, and optionally include val_loss (if validation is enabled in fit), and val_acc (if validation and accuracy monitoring are enabled).
on_batch_begin: logs include size, the number of samples in the current batch.
on_batch_end: logs include loss, and optionally acc (if accuracy monitoring is enabled).
paramsNamed list with training parameters (eg. verbosity, batch size, number of epochs...).
modelReference to the Keras model being trained.
on_epoch_begin(epoch, logs)Called at the beginning of each epoch.
on_epoch_end(epoch, logs)Called at the end of each epoch.
on_batch_begin(batch, logs)Called at the beginning of each batch.
on_batch_end(batch, logs)Called at the end of each batch.
on_train_begin(logs)Called at the beginning of training.
on_train_end(logs)Called at the end of training.
## Not run:
library(keras)
LossHistory <- R6::R6Class("LossHistory",
inherit = KerasCallback,
public = list(
losses = NULL,
on_batch_end = function(batch, logs = list()) {
self$losses <- c(self$losses, logs[["loss"]])
}
)
)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.