SnnsRObject$predictCurrPatSet

0th

Percentile

Predict values with a trained net

SnnsR low-level function to predict values with a trained net.

Usage
# S4 method for SnnsR
predictCurrPatSet(outputMethod="reg_class", updateFuncParams=c(0.0))
Arguments
outputMethod

is passed to SnnsRObject$whereAreResults

updateFuncParams

parameters passed to the networks update function

Details

This function has to be used embedded in a step of loading and afterwards removing the patterns into the SnnsR-class object. As SNNS only supports 2 pattern sets in parallel, removing unneeded pattern sets is quite important.

Value

the predicted values

Aliases
  • SnnsRObject$predictCurrPatSet
  • SnnsR__predictCurrPatSet
  • predictCurrPatSet,SnnsR-method
Documentation reproduced from package RSNNS, version 0.4-12, License: LGPL (>= 2) | file LICENSE

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