train: Internal generic train function for rsnns objects

In RSNNS: Neural Networks using the Stuttgart Neural Network Simulator (SNNS)

Internal generic train function for rsnns objects

Description

The function calls SnnsRObject$train and saves the result in the current rsnns object. This function is used internally by the models (e.g. mlp) for training. Unless you are not about to implement a new model on the S3 layer you most probably don't want to use this function.

Usage

train(object, ...)

## S3 method for class 'rsnns'
train(
  object,
  inputsTrain,
  targetsTrain = NULL,
  inputsTest = NULL,
  targetsTest = NULL,
  serializeTrainedObject = TRUE,
  ...
)

Arguments

object	the rsnns object
...	additional function parameters (currently not used)
inputsTrain	training input
targetsTrain	training targets
inputsTest	test input
targetsTest	test targets
serializeTrainedObject	parameter passed to SnnsRObject$train

Value

an rsnns object, to which the results of training have been added.

RSNNS documentation built on May 31, 2023, 5:43 p.m.