Package PyML :: Package demo :: Module demo
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Module demo

source code

Variables
  rp = s.cv(d)
  ridge = classifiers.RidgeRegression()
  mc = multi.OneAgainstRest(svm.SVM())
  s = svm.SVM()
  fs = featsel.FeatureScore('golub')
  f = featsel.Filter(fs, sigma= 2)
  r = p.cv(d, numFolds= 10)
  d = datafunc.VectorDataSet('yeast3.data', labelsColumn= 1)
  knn = classifiers.KNN()
  p = modelSelection.Param(classifiers.KNN(), 'k', [1, 2, 3, 5, ...
  results = [r.successRate for r in p.stratifiedCV(d)]
  m = modelSelection.ModelSelector(p)
Variables Details

p

Value:
modelSelection.Param(classifiers.KNN(), 'k', [1, 2, 3, 5, 10, 15])