doInputVerification: Checks if input parameters are valid

In joaofgoncalves/SegOptim: Optimization of Image Segmentation Parameters for Object-Based Image Analysis (OBIA)

Checks if input parameters are valid

Description

Validate options and ranges in user-defined inputs. This is meant to validate the parameters of gaOptimizeSegmentationParams general optimization function.

Usage

doInputVerification(input, what)

Arguments

input

The input value of the parameter to check.

what

A string defining which parameter to check. Available options are: "clAlgo" - classification algorithm; "classifierParams" - classification parameters; "segmMethod" - segmentation method; "evalMethod" - classifier evaluation methods; "evalMetr_sc" - evaluation metrics (single-class); "evalMetr_mc" - evaluation metric (multi-class); "dataBalancing" - data balancing methods; "trainThresh" - minimum proportion cover of a segment that decides the train class; "trainPerc" - proportion of data used for classifier training (only applies to HOCV); "segmStatsFuns" - checks if the functions used for generating segment statistics actually exist;

Value

A boolean. TRUE if OK, FALSE if not

joaofgoncalves/SegOptim documentation built on Feb. 5, 2024, 11:10 p.m.