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whitebox (version 2.1.0)

wbt_logistic_regression: Logistic regression

Description

Performs a logistic regression analysis using training site polygons/points and predictor rasters.

Usage

wbt_logistic_regression(
  inputs,
  training,
  field,
  scaling = "Normalize",
  output = NULL,
  test_proportion = 0.2,
  wd = NULL,
  verbose_mode = FALSE,
  compress_rasters = FALSE
)

Arguments

inputs

Names of the input predictor rasters.

training

Name of the input training site polygons/points shapefile.

field

Name of the attribute containing class data.

scaling

Scaling method for predictors. Options include 'None', 'Normalize', and 'Standardize'.

output

Name of the output raster file.

test_proportion

The proportion of the dataset to include in the test split; default is 0.2.

wd

Changes the working directory.

verbose_mode

Sets verbose mode. If verbose mode is False, tools will not print output messages.

compress_rasters

Sets the flag used by WhiteboxTools to determine whether to use compression for output rasters.

Value

Returns the tool text outputs.