Exemple #1
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 def f():
     x, y = generateClassificationData(0.1, 10)
     
     builder = GradientBoostedClassifierBuilder(1, 1, 1.0)
     fit = builder.fit(x, y)
     return fit.additiveRegressionTree.trees
Exemple #2
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 def f():
     model = GradientBoostedClassifierBuilder(1, 1, 1.0).fit(x, y)
     return model.deviance(x, y)
Exemple #3
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 def f():
     model = GradientBoostedClassifierBuilder(1, 1, 1.0).fit(x, y)
     return model.score(x, y)
Exemple #4
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 def f():
     model = GradientBoostedClassifierBuilder(1, 1, 1.0).fit(x, y)
     return model.predict(x)
Exemple #5
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        def f():
            x, y = generateClassificationData(0.1, 10)

            builder = GradientBoostedClassifierBuilder(1, 1, 1.0)
            fit = builder.fit(x, y)
            return fit.additiveRegressionTree.trees