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
