d.b.step1: Classifier 1 - Step 1

In Vitlik/DA2-17: Image Recognition

Description

To get (back) to the overview of all steps and functions use this link: a.a.main

Usage

d.b.step1(trainData, numTrees, pMtry = NULL, pNodesize = NULL,
  pCutoff = NULL)

Arguments

trainData	A data frame with number of images as rowsize and number of features as columnsize that holds the feature data
numTrees	A number that defines the number of trees randomForest should use (see package randomForest)
pMtry	A number that defines the number of variables randomly sampled as candidates at each split of randomForest (see package randomForest). This parameter is optional
pNodesize	A number that defines the minimum size of terminal nodes for randomForest (see package randomForest). This parameter is optional
pCutoff	A vector of length equal to number of classes that defines the ratio of proportion of votes to cutoff (see package randomForest). This parameter is optional

Value

A randomForest model that has been trained on the feature data

Author(s)

Vitali Friesen, Colin Juers, Tassilo Tobollik

Examples

\code{rfModel <- d.b.step1(featureData, numTrees, mtry, nodesize, cutoff)}

Vitlik/DA2-17 documentation built on May 20, 2019, 11:12 a.m.