## Uses of Class
org.apache.ignite.ml.selection.scoring.evaluator.EvaluationResult

- Packages that use EvaluationResult
  Package | Description
  --- | ---
  org.apache.ignite.ml.selection.scoring.evaluator | Package for model evaluator classes.

- - ### Uses of EvaluationResult in org.apache.ignite.ml.selection.scoring.evaluator

    Methods in org.apache.ignite.ml.selection.scoring.evaluator that return EvaluationResult
    Modifier and Type | Method and Description
    --- | ---
    `static <K,V> EvaluationResult` | Evaluator.`evaluate(DatasetBuilder<K,V> datasetBuilder, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor, Metric... metrics)` Evaluate model.
    `static <K,V> EvaluationResult` | Evaluator.`evaluateBinaryClassification(IgniteCache<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor)` Evaluate binary classifier by default metrics (see package classification).
    `static <K,V> EvaluationResult` | Evaluator.`evaluateBinaryClassification(IgniteCache<K,V> dataCache, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor)` Evaluate binary classifier by default metrics (see package classification).
    `static <K,V> EvaluationResult` | Evaluator.`evaluateBinaryClassification(Map<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor)` Evaluate binary classifier by default metrics (see package classification).
    `static <K,V> EvaluationResult` | Evaluator.`evaluateBinaryClassification(Map<K,V> dataCache, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor)` Evaluate binary classifier by default metrics (see package classification).
    `static <K,V> EvaluationResult` | Evaluator.`evaluateRegression(IgniteCache<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor)` Evaluate regression by default metrics (see package regression).
    `static <K,V> EvaluationResult` | Evaluator.`evaluateRegression(IgniteCache<K,V> dataCache, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor)` Evaluate regression by default metrics (see package regression).
    `static <K,V> EvaluationResult` | Evaluator.`evaluateRegression(Map<K,V> dataCache, IgniteBiPredicate<K,V> filter, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor)` Evaluate regression by default metrics (see package regression).
    `static <K,V> EvaluationResult` | Evaluator.`evaluateRegression(Map<K,V> dataCache, IgniteModel<Vector,Double> mdl, Preprocessor<K,V> preprocessor)` Evaluate regression by default metrics (see package regression).

2021 Copyright © Apache Software Foundation
| Follow @ApacheIgnite
Ignite Database and Caching Platform | : ver. 2.11.0
Release Date | : September 11 2021