SVM

require(R); {$desc_comments} imports "SVM" from "MLkit";

.NET clr type export
problem: Problem	Encapsulates a problem, or set of vectors which must be classified.
svm: SVMModel	A trained svm data model that can be apply for classify analysis.
svmSet: SVMMultipleSet	A collection of trained svm data model that can be apply for multiple dimension class classify analysis.

.NET clr function exports
problem.trim	removes all columns that will all value equals to each other
svm.problem
append.trainingSet	append problem data into current problem dataset
join.problems	merge two problem table by row append. (this api is usually apply for join positive set and negative set.)
parse.SVM_problems
problem.validateLabels	extract the classify labels part from the validation set object.
trainSVMModel	train SVM model
parse.SVM_json
svm_json	serialize the SVM model as json string for save to a file
svm_classify
svm_validates	SVM model validation