train_output: FUNCTION_TITLE

In neuroimaginador/dl4ni: Deep Learning Flows for Neuroimaging

Description

FUNCTION_DESCRIPTION

Usage

train_output(flow, output, input_filenames, output_filenames,
  given_input = NULL, train_split = 0.75, epochs = 10,
  target_windows_per_file = 1024, metrics_viewer = FALSE,
  mode = c("debug", "faster", "medium", "slower"), verbose = TRUE)

Arguments

flow	(name) PARAM_DESCRIPTION
output	(name) PARAM_DESCRIPTION
input_filenames	(name) PARAM_DESCRIPTION
output_filenames	(name) PARAM_DESCRIPTION
given_input	(NULL) PARAM_DESCRIPTION, Default: NULL
train_split	(numeric) PARAM_DESCRIPTION, Default: 0.75
epochs	(numeric) PARAM_DESCRIPTION, Default: 10
mode	(call) PARAM_DESCRIPTION, Default: c("debug", "faster", "medium", "slower")
verbose	(logical) PARAM_DESCRIPTION, Default: TRUE
max_sub_epochs	(numeric) PARAM_DESCRIPTION, Default: 5

Details

DETAILS

Value

OUTPUT_DESCRIPTION

See Also

fast_readnii as.nifti writeNifti as.nifti writeNifti

neuroimaginador/dl4ni documentation built on May 3, 2019, 5:47 p.m.