smile.regression

Interface DataFrameRegression

All Known Implementing Classes:

GradientTreeBoost, LinearModel, RandomForest, RegressionTree

public interface DataFrameRegression

Regression trait on DataFrame.

Method Summary

Modifier and Type	Method and Description
smile.data.formula.Formula	formula() Returns the formula associated with the model.
default double[]	predict(smile.data.DataFrame data) Predicts the dependent variables of a data frame.
double	predict(smile.data.Tuple x) Predicts the dependent variable of a tuple instance.
smile.data.type.StructType	schema() Returns the design matrix schema.

Method Detail

predict

double predict(smile.data.Tuple x)

Predicts the dependent variable of a tuple instance.

Parameters:

x - a tuple instance.

Returns:

the predicted value of dependent variable.

predict

default double[] predict(smile.data.DataFrame data)

Predicts the dependent variables of a data frame.

Parameters:

data - the data frame.

Returns:

the predicted values.

formula

smile.data.formula.Formula formula()

Returns the formula associated with the model.

schema

smile.data.type.StructType schema()

Returns the design matrix schema.