Predict with xgboost
Usage
predict_xgboost(
modelXGB,
predInput,
scaleInput = FALSE,
col_means_train,
col_stddevs_train,
filename = "",
tempdirRaster = NULL,
nCoresRaster = 2
)
Arguments
- modelXGB
an
xgboost::xgboost()
model.- predInput
data.frame
orraster
with colnames or layer names matching the expected input for modelRF.- scaleInput
if
TRUE
, scalepredInput
withcol_means_train
and colcol_stddevs_train
.- col_means_train
the original mean of the
predInput
columns.- col_stddevs_train
the original sd of the
predInput
columns.- filename
the file to write the raster predictions.
- tempdirRaster
path to a directory to save temporal raster files.
- nCoresRaster
number of cores used for parallelized raster cores. Use half of the available cores by default.