nnet_R_predict: Class prediction using the neural networks method calling the...

In galgo: Genetic Algorithms for Multivariate Statistical Models from Large-Scale Functional Genomics Data

Description

neural networks R code for prediction.

Usage

nnet_R_predict(x, parent, tr, te, result, ...)

Arguments

x	Chromosome. Must be integer, use as.integer().
parent	Bigbang object.
tr	Sample indexes for training vector. Must be integer, use as.integer().
te	Sample indexes for test vector. Must be integer, use as.integer().
result	0 indicates to return class prediction, non-zero returns the proportion of samples with same class prediction. Must be integer, use as.integer().
...	Not used. Included for package compatbility documentation purposes.

Value

Vector of classes (integer) or numeric value. Depends on result argument.

Author(s)

Victor Trevino. Francesco Falciani Group. University of Birmingham, U.K.

See Also

nnet

galgo documentation built on May 2, 2019, 4:20 a.m.