rcTrain: rcTrain

In stnava/rcissus: Fast Segmentation Or Image Translation With Deep Learning

Description

Train a rcissus model with lm or deep learning from h2o

Usage

rcTrain(y, trainingDf, hidden = c(200, 200), classification = FALSE,
  mdlMethod = "h2o", epochs = 200, batchSize, max_mem = "100G")

Arguments

y	outcome vector
trainingDf	input training data
hidden	Hidden layer sizes (e.g. c(100,100)). Defaults to c(200,200).
classification	boolean
mdlMethod	string either lm, h2o or kerasdnn
epochs	number of epochs (integer) over which to train
batchSize	for training
max_mem	sets maximum allowable memory for h2o deep learning

Value

model is output

Author(s)

Avants BB

See Also

ripmmarcPop https://antsx.github.io/ANTsRCore/reference/ripmmarcPop.html

stnava/rcissus documentation built on May 12, 2019, 6:25 p.m.