org.apache.ignite.ml.selection.scoring.evaluator

Class Evaluator

java.lang.Object

org.apache.ignite.ml.selection.scoring.evaluator.Evaluator

public class Evaluator
extends Object

Evaluator that computes metrics from predictions and ground truth values.

Constructor Summary

Constructors

Constructor and Description
Evaluator()

Method Summary

Modifier and Type	Method and Description
static <K,V> BinaryClassificationMetricValues	evaluate(IgniteCache<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor) Computes the given metrics on the given cache.
static <L,K,V> double	evaluate(IgniteCache<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,L> mdl, Preprocessor<K,V> preprocessor, Metric<L> metric) Computes the given metric on the given cache.
static <K,V> BinaryClassificationMetricValues	evaluate(IgniteCache<K,V> dataCache, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor) Computes the given metrics on the given cache.
static <L,K,V> double	evaluate(IgniteCache<K,V> dataCache, IgniteModel<Vector,L> mdl, Preprocessor<K,V> preprocessor, Metric<L> metric) Computes the given metric on the given cache.
static <K,V> BinaryClassificationMetricValues	evaluate(Map<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor) Computes the given metrics on the given cache.
static <L,K,V> double	evaluate(Map<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,L> mdl, Preprocessor<K,V> preprocessor, Metric<L> metric) Computes the given metric on the given cache.
static <K,V> BinaryClassificationMetricValues	evaluate(Map<K,V> dataCache, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor) Computes the given metrics on the given cache.
static <L,K,V> double	evaluate(Map<K,V> dataCache, IgniteModel<Vector,L> mdl, Preprocessor<K,V> preprocessor, Metric<L> metric) Computes the given metric on the given cache.
static <K,V> RegressionMetricValues	evaluateRegression(IgniteCache<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor) Computes the regression metrics on the given cache.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Evaluator

public Evaluator()

Method Detail

evaluate

public static <L,K,V> double evaluate(IgniteCache<K,V> dataCache,
                                      IgniteModel<Vector,L> mdl,
                                      Preprocessor<K,V> preprocessor,
                                      Metric<L> metric)

Computes the given metric on the given cache.

Type Parameters:

K - The type of cache entry key.

V - The type of cache entry value.

Parameters:

dataCache - The given cache.

mdl - The model.

preprocessor - The preprocessor.

metric - The binary classification metric.

Returns:

Computed metric.

evaluate

public static <L,K,V> double evaluate(Map<K,V> dataCache,
                                      IgniteModel<Vector,L> mdl,
                                      Preprocessor<K,V> preprocessor,
                                      Metric<L> metric)

Computes the given metric on the given cache.

Type Parameters:

K - The type of cache entry key.

V - The type of cache entry value.

Parameters:

dataCache - The given local data.

mdl - The model.

preprocessor - The preprocessor.

metric - The binary classification metric.

Returns:

Computed metric.

evaluate

public static <L,K,V> double evaluate(IgniteCache<K,V> dataCache,
                                      IgniteBiPredicate<K,V> filter,
                                      IgniteModel<Vector,L> mdl,
                                      Preprocessor<K,V> preprocessor,
                                      Metric<L> metric)

Computes the given metric on the given cache.

Type Parameters:

K - The type of cache entry key.

V - The type of cache entry value.

Parameters:

dataCache - The given cache.

mdl - The model.

preprocessor - The preprocessor.

metric - The binary classification metric.

Returns:

Computed metric.

evaluate

public static <L,K,V> double evaluate(Map<K,V> dataCache,
                                      IgniteBiPredicate<K,V> filter,
                                      IgniteModel<Vector,L> mdl,
                                      Preprocessor<K,V> preprocessor,
                                      Metric<L> metric)

Computes the given metric on the given cache.

Type Parameters:

L - The type of label.

K - The type of cache entry key.

V - The type of cache entry value.

Parameters:

dataCache - The given cache.

filter - The given filter.

mdl - The model.

preprocessor - The preprocessor.

metric - The binary classification metric.

Returns:

Computed metric.

evaluate

public static <K,V> BinaryClassificationMetricValues evaluate(IgniteCache<K,V> dataCache,
                                                              IgniteModel<Vector,Double> mdl,
                                                              Preprocessor<K,V> preprocessor)

Computes the given metrics on the given cache.

Type Parameters:

K - The type of cache entry key.

V - The type of cache entry value.

Parameters:

dataCache - The given cache.

mdl - The model.

preprocessor - The preprocessor.

Returns:

Computed metric.

evaluate

public static <K,V> BinaryClassificationMetricValues evaluate(Map<K,V> dataCache,
                                                              IgniteModel<Vector,Double> mdl,
                                                              Preprocessor<K,V> preprocessor)

Computes the given metrics on the given cache.

Type Parameters:

K - The type of cache entry key.

V - The type of cache entry value.

Parameters:

dataCache - The given cache.

mdl - The model.

preprocessor - The preprocessor.

Returns:

Computed metric.

evaluate

public static <K,V> BinaryClassificationMetricValues evaluate(IgniteCache<K,V> dataCache,
                                                              IgniteBiPredicate<K,V> filter,
                                                              IgniteModel<Vector,Double> mdl,
                                                              Preprocessor<K,V> preprocessor)

Computes the given metrics on the given cache.

Type Parameters:

K - The type of cache entry key.

V - The type of cache entry value.

Parameters:

dataCache - The given cache.

filter - The given filter.

mdl - The model.

preprocessor - The preprocessor.

Returns:

Computed metric.

evaluate

public static <K,V> BinaryClassificationMetricValues evaluate(Map<K,V> dataCache,
                                                              IgniteBiPredicate<K,V> filter,
                                                              IgniteModel<Vector,Double> mdl,
                                                              Preprocessor<K,V> preprocessor)

Computes the given metrics on the given cache.

Type Parameters:

K - The type of cache entry key.

V - The type of cache entry value.

Parameters:

dataCache - The given cache.

filter - The given filter.

mdl - The model.

preprocessor - The preprocessor.

Returns:

Computed metric.

evaluateRegression

public static <K,V> RegressionMetricValues evaluateRegression(IgniteCache<K,V> dataCache,
                                                              IgniteBiPredicate<K,V> filter,
                                                              IgniteModel<Vector,Double> mdl,
                                                              Preprocessor<K,V> preprocessor)

Computes the regression metrics on the given cache.

Type Parameters:

K - The type of cache entry key.

V - The type of cache entry value.

Parameters:

dataCache - Data cache.

filter - Filter.

mdl - Model.

preprocessor - Preprocessor.

Returns:

Computed metric.