predict_randomForest: Predict with randomForest
In jmaspons/MLTools: Pipes and tools for machine learning

predict_randomForest

R Documentation

Predict with randomForest

Description

Predict with randomForest

Usage

predict_randomForest(
  modelRF,
  predInput,
  scaleInput = FALSE,
  col_means_train,
  col_stddevs_train,
  filename = "",
  tempdirRaster = NULL,
  nCoresRaster = 2
)

Arguments

`modelRF`	a `randomForest::randomForest()` model.
`predInput`	`data.frame` or `raster` with colnames or layer names matching the expected input for modelRF.
`scaleInput`	if `TRUE`, scale `predInput` with `col_means_train` and col `col_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.