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src/o/r/Orange-2.7.2/docs/reference/rst/code/testing-example.py   Orange(Download)
import Orange
 
iris = Orange.data.Table("iris")
learners = [Orange.classification.bayes.NaiveLearner(),
            Orange.classification.majority.MajorityLearner()]

src/o/r/Orange-2.7.2/docs/reference/rst/code/statExamplesGraphRanks.py   Orange(Download)
import Orange
 
names = ["first", "third", "second", "fourth" ]
avranks =  [1.9, 3.2, 2.8, 3.3 ] 
cd = Orange.evaluation.scoring.compute_CD(avranks, 30) #tested on 30 datasets

src/o/r/Orange-2.7.2/docs/reference/rst/code/statExamples.py   Orange(Download)
# Referenced:  orngStat.htm
 
import Orange
 
learners = [ Orange.classification.bayes.NaiveLearner(name="bayes"),

src/o/r/Orange-2.7.2/docs/reference/rst/code/statExample1.py   Orange(Download)
import Orange
 
learners = [ Orange.classification.bayes.NaiveLearner(name = "bayes"),
             Orange.classification.tree.TreeLearner(name="tree"),
             Orange.classification.majority.MajorityLearner(name="majrty")]

src/o/r/Orange-2.7.2/docs/reference/rst/code/statExample0.py   Orange(Download)
import Orange
 
learners = [Orange.classification.bayes.NaiveLearner(name="bayes"),
            Orange.classification.tree.TreeLearner(name="tree"),
            Orange.classification.majority.MajorityLearner(name="majority")]

src/o/r/Orange-2.7.2/docs/reference/rst/code/scoring-example.py   Orange(Download)
import Orange
 
learners = [Orange.classification.bayes.NaiveLearner(name="bayes"),
            Orange.classification.tree.TreeLearner(name="tree"),
            Orange.classification.majority.MajorityLearner(name="majority")]

src/o/r/Orange-2.7.2/docs/reference/rst/code/pls-example.py   Orange(Download)
# Classes:     Orange.regression.pls.PLSRegressionLearner, Orange.regression.pls.PLSRegression
 
import Orange
 
data = Orange.data.Table("multitarget-synthetic.tab")

src/o/r/Orange-2.7.2/docs/reference/rst/code/linear-example.py   Orange(Download)
# Classes:     Orange.regression.linear.LinearRegressionLearner Orange.regression.linear.LinearRegression
 
import Orange
 
housing = Orange.data.Table("housing")

src/o/r/Orange-2.7.2/docs/reference/rst/code/lasso-example.py   Orange(Download)
# Description: Lasso regression
# Category:    regression
 
import Orange
import numpy

src/o/r/Orange-2.7.2/docs/reference/rst/code/knnExample2.py   Orange(Download)
import Orange
iris = Orange.data.Table("iris")
 
knn = Orange.classification.knn.kNNLearner()
knn.k = 10

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