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