smile.validation

Interface Validation

public interface Validation

A utility class for validating predictive models on test data.

Method Summary

Modifier and Type	Method and Description
static <T> int[]	test(Classifier<T> classifier, T[] x) Tests a classifier on a validation set.
static int[]	test(DataFrameClassifier model, smile.data.DataFrame data) Tests a regression model on a validation set.
static double[]	test(DataFrameRegression model, smile.data.DataFrame data) Tests a regression model on a validation set.
static <T> double[]	test(Regression<T> regression, T[] x) Tests a regression model on a validation set.

Method Detail

test

static <T> int[] test(Classifier<T> classifier,
                      T[] x)

Tests a classifier on a validation set.

Type Parameters:

T - the data type of input objects.

Parameters:

classifier - a trained classifier to be tested.

x - the test data set.

Returns:

the predictions.

test

static int[] test(DataFrameClassifier model,
                  smile.data.DataFrame data)

Tests a regression model on a validation set.

Parameters:

model - a trained regression model to be tested.

data - the test data set.

Returns:

the predictions.

test

static <T> double[] test(Regression<T> regression,
                         T[] x)

Tests a regression model on a validation set.

Type Parameters:

T - the data type of input objects.

Parameters:

regression - a trained regression model to be tested.

x - the test data set.

Returns:

the predictions.

test

static double[] test(DataFrameRegression model,
                     smile.data.DataFrame data)

Tests a regression model on a validation set.

Parameters:

model - a trained regression model to be tested.

data - the test data set.

Returns:

the predictions.