updateStopping.regression: updateStopping.regression function

In deepNN: Deep Learning

updateStopping.regression function

Description

A function to update the stopping criteria for a classification problem.

Usage

## S3 method for class 'regression'
updateStopping(
  dat,
  parms,
  net,
  truth,
  testoutput,
  count,
  monitor,
  mx,
  curcost,
  ...
)

Arguments

dat	data object
parms	model parameters
net	an object of class network
truth	the truth, to be compared with network outputs
testoutput	a vector, the history of the stopping criteria
count	iteration number
monitor	logical, whether to produce a diagnostic plot
mx	a number to be monitored e.g. the cost of the best performing paramerer configuration to date
curcost	current measure of cost, can be different to the value of the loss function e.g. may consider smoothed cost (i.e. loss) over the last k iterations
...	additional arguments

Value

curcost, testoutput and mx, used for iterating the maximisation process

deepNN documentation built on Aug. 25, 2023, 5:14 p.m.