autoforestry {Rforestry} | R Documentation |
autoforestry-forestry
Description
autoforestry-forestry
Usage
autoforestry(
x,
y,
sampsize = as.integer(nrow(x) * 0.75),
num_iter = 1024,
eta = 2,
verbose = FALSE,
seed = 24750371,
nthread = 0
)
Arguments
x |
A data frame of all training predictors. |
y |
A vector of all training responses. |
sampsize |
The size of total samples to draw for the training data. |
num_iter |
Maximum iterations/epochs per configuration. Default is 1024. |
eta |
Downsampling rate. Default value is 2. |
verbose |
if tuning process in verbose mode |
seed |
random seed |
nthread |
Number of threads to train and predict theforest. The default number is 0 which represents using all cores. |
Value
A 'forestry' object
[Package Rforestry version 0.11.1.0 Index]