g.a.svm.start: Classifier Support Vector Machine - Wrapper function
In Vitlik/DA2-17: Image Recognition

Description Usage Arguments Value Author(s) Examples

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

This is a wrapper function for classifying data with support vector machines

It executes these functions:

g.b.step1
g.c.step2

1	g.a.svm.start(block, feature1, saveFile, classLabel, feature2 = NULL)

`block`	A string that holds a path to a cross-validation block file
`feature1`	A string that holds a path to a feature data file (hog or colorHist)
`saveFile`	A string that holds a path to which the result should be stored as .rda file.
`classLabel`	A string that holds a path to a file with classification labels for the feature data
`feature2`	A string that holds a path to a second feature data file (the type that was not used in `feature1`).This parameter is optional

A table that holds the pairs of correct and not correct predicted images, the number of correct predicted images and the accuracy percentage

Colin Juers

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\code{result <- d.a.randomForest.start("data/blocks2677IMG.rda", "data/hog_original_8_9_complete.rda",
"data/colorHistRGBNorm_original_255buckets_hog_original_8_9_nodes7_svm_result.rda", "data/classesOrig.rda",
100, feature2 = "data/colorHistOriginalRGBNorm255Buckets.rda")}