#' @section Learner Methods:
#'
#' Keras Learners offer several methods for easy access to the
#' stored models.
#'
#' * `.$plot()`\cr
#' Plots the history, i.e. the train-validation loss during training.
#' * `.$save(file_path)`\cr
#' Dumps the model to a provided file_path in 'h5' format.
#' * `.$load_model_from_file(file_path)`\cr
#' Loads a model saved using `saved` back into the learner.
#' The model needs to be saved separately when the learner is serialized.
#' In this case, the learner can be restored from this function.
#' Currently not implemented for 'TabNet'.
#' * `.$lr_find(task, epochs, lr_min, lr_max, batch_size)`\cr
#' Employ an implementation of the learning rate finder as popularized by
#' Jeremy Howard in fast.ai (http://course.fast.ai/) for the learner.
#' For more info on parameters, see `find_lr`.
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