evalKerasGeneric: evalKerasGeneric model building and compile

In SPOTMisc: Misc Extensions for the 'SPOT' Package

evalKerasGeneric model building and compile

Description

Hyperparameter Tuning: Keras Generic Classification Function.

Usage

evalKerasGeneric(x = NULL, kerasConf = NULL, specList = NULL)

Arguments

x	matrix of transformed hyperparameter values to evaluate with the function. If NULL, a simple keras model will be build, which is considered default (see getSimpleKerasModel).
kerasConf	List of additional parameters passed to keras as described in getKerasConf. If no value is specified, stop() is called.
specList	prepared data. See genericDataPrep. See getGenericTrainValTestData.

Details

Trains a simple deep NN on a generic data set. Standard Code from https://tensorflow.rstudio.com/. Modified by T. Bartz-Beielstein.

Value

list with function values (training, validation, and test loss/accuracy, and keras model information)

See Also

getKerasConf

funKerasGeneric

fit

SPOTMisc documentation built on Sept. 5, 2022, 5:06 p.m.