IGNITE-28240 fix ml tests

Aleksandr · Aleksandr · commit 22908aff1d52 · 2026-03-16T14:42:36.000+03:00
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/clustering/KMeansTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/clustering/KMeansTrainerTest.java
@@ -21,7 +21,7 @@
 import java.util.Map;
 import org.apache.ignite.ml.clustering.kmeans.KMeansModel;
 import org.apache.ignite.ml.clustering.kmeans.KMeansTrainer;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer;
 import org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder;
@@ -37,7 +37,7 @@
 /**
  * Tests for {@link KMeansTrainer}.
  */
-public class KMeansTrainerTest extends TrainerTest {
+public class KMeansTrainerTest extends TrainerTestBase {
     /** Precision in test checks. */
     private static final double PRECISION = 1e-2;
 
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/clustering/gmm/GmmTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/clustering/gmm/GmmTrainerTest.java
@@ -20,7 +20,7 @@
 import java.util.Arrays;
 import java.util.HashMap;
 import java.util.Map;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer;
 import org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder;
@@ -31,7 +31,7 @@
 /**
  * Tests for GMM trainer.
  */
-public class GmmTrainerTest extends TrainerTest {
+public class GmmTrainerTest extends TrainerTestBase {
     /** Data. */
     private static final Map<Integer, double[]> data = new HashMap<>();
 
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/common/TrainerTestBase.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/common/TrainerTestBase.java
@@ -28,7 +28,7 @@
  * Basic fields and methods for the trainer tests.
  */
 @RunWith(Parameterized.class)
-public class TrainerTest {
+public class TrainerTestBase {
     /** Number of parts to be tested. */
     private static final int[] partsToBeTested = new int[] {1, 2, 3, 4, 13};
 
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/composition/StackingTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/composition/StackingTest.java
@@ -20,7 +20,7 @@
 import org.apache.ignite.IgniteCache;
 import org.apache.ignite.ml.IgniteModel;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.composition.stacking.StackedDatasetTrainer;
 import org.apache.ignite.ml.composition.stacking.StackedModel;
 import org.apache.ignite.ml.composition.stacking.StackedVectorDatasetTrainer;
@@ -54,7 +54,7 @@
 /**
  * Tests stacked trainers.
  */
-public class StackingTest extends TrainerTest {
+public class StackingTest extends TrainerTestBase {
     /** Rule to check exceptions. */
     @Rule
     public ExpectedException thrown = ExpectedException.none();
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/composition/bagging/BaggingTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/composition/bagging/BaggingTest.java
@@ -21,7 +21,7 @@
 import java.util.Map;
 import org.apache.ignite.ml.IgniteModel;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.composition.combinators.parallel.ModelsParallelComposition;
 import org.apache.ignite.ml.composition.predictionsaggregator.MeanValuePredictionsAggregator;
 import org.apache.ignite.ml.composition.predictionsaggregator.OnMajorityPredictionsAggregator;
@@ -48,7 +48,7 @@
 /**
  * Tests for bagging algorithm.
  */
-public class BaggingTest extends TrainerTest {
+public class BaggingTest extends TrainerTestBase {
     /**
      * Dependency of weights of first model in ensemble after training in
      * {@link BaggingTest#testNaiveBaggingLogRegression()}. This dependency is tested to ensure that it is
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/composition/boosting/GDBTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/composition/boosting/GDBTrainerTest.java
@@ -21,7 +21,7 @@
 import java.util.Map;
 import java.util.function.BiFunction;
 import org.apache.ignite.ml.IgniteModel;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.composition.ModelsComposition;
 import org.apache.ignite.ml.composition.boosting.convergence.mean.MeanAbsValueConvergenceCheckerFactory;
 import org.apache.ignite.ml.composition.boosting.convergence.simple.ConvergenceCheckerStubFactory;
@@ -41,7 +41,7 @@
 import static org.junit.Assert.assertTrue;
 
 /** */
-public class GDBTrainerTest extends TrainerTest {
+public class GDBTrainerTest extends TrainerTestBase {
     /** */
     @Test
     public void testFitRegression() {
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/knn/ANNClassificationTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/knn/ANNClassificationTest.java
@@ -20,7 +20,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer;
 import org.apache.ignite.ml.knn.ann.ANNClassificationModel;
@@ -33,7 +33,7 @@
 import static org.junit.Assert.assertTrue;
 
 /** Tests behaviour of ANNClassificationTest. */
-public class ANNClassificationTest extends TrainerTest {
+public class ANNClassificationTest extends TrainerTestBase {
     /** */
     @Test
     public void testBinaryClassification() {
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/knn/KNNRegressionTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/knn/KNNRegressionTest.java
@@ -19,7 +19,7 @@
 
 import java.util.HashMap;
 import java.util.Map;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer;
 import org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder;
@@ -37,7 +37,7 @@
 /**
  * Tests for {@link KNNRegressionTrainer}.
  */
-public class KNNRegressionTest extends TrainerTest {
+public class KNNRegressionTest extends TrainerTestBase {
     /** */
     @Test
     public void testSimpleRegressionWithOneNeighbour() {
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/math/isolve/lsqr/LSQROnHeapTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/math/isolve/lsqr/LSQROnHeapTest.java
@@ -20,7 +20,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.DatasetBuilder;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer;
@@ -41,7 +41,7 @@
 /**
  * Tests for {@link LSQROnHeap}.
  */
-public class LSQROnHeapTest extends TrainerTest {
+public class LSQROnHeapTest extends TrainerTestBase {
     /** Tests solving simple linear system. */
     @Test
     public void testSolveLinearSystem() {
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/multiclass/OneVsRestTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/multiclass/OneVsRestTrainerTest.java
@@ -22,7 +22,7 @@
 import java.util.List;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer;
 import org.apache.ignite.ml.math.primitives.vector.Vector;
@@ -38,7 +38,7 @@
 /**
  * Tests for {@link OneVsRestTrainer}.
  */
-public class OneVsRestTrainerTest extends TrainerTest {
+public class OneVsRestTrainerTest extends TrainerTestBase {
     /**
      * Test trainer on 2 linearly separable sets.
      */
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/naivebayes/compound/CompoundNaiveBayesTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/naivebayes/compound/CompoundNaiveBayesTrainerTest.java
@@ -17,7 +17,7 @@
 
 package org.apache.ignite.ml.naivebayes.compound;
 
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer;
 import org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder;
@@ -36,7 +36,7 @@
 import static org.junit.Assert.assertEquals;
 
 /** Test for {@link CompoundNaiveBayesTrainer} */
-public class CompoundNaiveBayesTrainerTest extends TrainerTest {
+public class CompoundNaiveBayesTrainerTest extends TrainerTestBase {
     /** Precision in test checks. */
     private static final double PRECISION = 1e-2;
 
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/naivebayes/discrete/DiscreteNaiveBayesTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/naivebayes/discrete/DiscreteNaiveBayesTrainerTest.java
@@ -18,7 +18,7 @@
 
 import java.util.HashMap;
 import java.util.Map;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer;
 import org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder;
@@ -27,7 +27,7 @@
 import org.junit.Test;
 
 /** Test for {@link DiscreteNaiveBayesTrainer} */
-public class DiscreteNaiveBayesTrainerTest extends TrainerTest {
+public class DiscreteNaiveBayesTrainerTest extends TrainerTestBase {
     /** Precision in test checks. */
     private static final double PRECISION = 1e-2;
 
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/naivebayes/gaussian/GaussianNaiveBayesTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/naivebayes/gaussian/GaussianNaiveBayesTrainerTest.java
@@ -20,7 +20,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer;
 import org.apache.ignite.ml.dataset.impl.local.LocalDatasetBuilder;
@@ -32,7 +32,7 @@
 /**
  * Tests for {@link GaussianNaiveBayesTrainer}.
  */
-public class GaussianNaiveBayesTrainerTest extends TrainerTest {
+public class GaussianNaiveBayesTrainerTest extends TrainerTestBase {
     /** Precision in test checks. */
     private static final double PRECISION = 1e-2;
 
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/pipeline/PipelineTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/pipeline/PipelineTest.java
@@ -20,7 +20,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer;
 import org.apache.ignite.ml.math.primitives.vector.Vector;
@@ -33,7 +33,7 @@
 /**
  * Tests for {@link Pipeline}.
  */
-public class PipelineTest extends TrainerTest {
+public class PipelineTest extends TrainerTestBase {
     /**
      * Test trainer on classification model y = x.
      */
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/binarization/BinarizationTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/binarization/BinarizationTrainerTest.java
@@ -20,7 +20,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.DatasetBuilder;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer;
@@ -35,7 +35,7 @@
 /**
  * Tests for {@link BinarizationTrainer}.
  */
-public class BinarizationTrainerTest extends TrainerTest {
+public class BinarizationTrainerTest extends TrainerTestBase {
     /** Tests {@code fit()} method. */
     @Test
     public void testFit() {
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/encoding/EncoderTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/encoding/EncoderTrainerTest.java
@@ -21,7 +21,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.DatasetBuilder;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer;
@@ -40,7 +40,7 @@
 /**
  * Tests for {@link EncoderTrainer}.
  */
-public class EncoderTrainerTest extends TrainerTest {
+public class EncoderTrainerTest extends TrainerTestBase {
     /** Tests {@code fit()} method. */
     @Test
     public void testFitOnStringCategorialFeatures() {
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/imputing/ImputerTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/imputing/ImputerTrainerTest.java
@@ -20,7 +20,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.DatasetBuilder;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer;
@@ -34,7 +34,7 @@
 /**
  * Tests for {@link ImputerTrainer}.
  */
-public class ImputerTrainerTest extends TrainerTest {
+public class ImputerTrainerTest extends TrainerTestBase {
     /** Tests {@code fit()} method. */
     @Test
     public void testMostFrequent() {
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/maxabsscaling/MaxAbsScalerTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/maxabsscaling/MaxAbsScalerTrainerTest.java
@@ -20,7 +20,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.DatasetBuilder;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer;
@@ -34,7 +34,7 @@
 /**
  * Tests for {@link MaxAbsScalerTrainer}.
  */
-public class MaxAbsScalerTrainerTest extends TrainerTest {
+public class MaxAbsScalerTrainerTest extends TrainerTestBase {
     /** Tests {@code fit()} method. */
     @Test
     public void testFit() {
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/minmaxscaling/MinMaxScalerTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/minmaxscaling/MinMaxScalerTrainerTest.java
@@ -20,7 +20,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.DatasetBuilder;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer;
@@ -34,7 +34,7 @@
 /**
  * Tests for {@link MinMaxScalerTrainer}.
  */
-public class MinMaxScalerTrainerTest extends TrainerTest {
+public class MinMaxScalerTrainerTest extends TrainerTestBase {
     /** Tests {@code fit()} method. */
     @Test
     public void testFit() {
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/normalization/NormalizationTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/normalization/NormalizationTrainerTest.java
@@ -20,7 +20,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.DatasetBuilder;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer;
@@ -36,7 +36,7 @@
 /**
  * Tests for {@link BinarizationTrainer}.
  */
-public class NormalizationTrainerTest extends TrainerTest {
+public class NormalizationTrainerTest extends TrainerTestBase {
     /** Tests {@code fit()} method. */
     @Test
     public void testFit() {
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/standardscaling/StandardScalerTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/preprocessing/standardscaling/StandardScalerTrainerTest.java
@@ -20,7 +20,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import org.apache.ignite.ml.TestUtils;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.DatasetBuilder;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DummyVectorizer;
@@ -35,7 +35,7 @@
 /**
  * Tests for {@link StandardScalerTrainer}.
  */
-public class StandardScalerTrainerTest extends TrainerTest {
+public class StandardScalerTrainerTest extends TrainerTestBase {
     /** Data. */
     private DatasetBuilder<Integer, Vector> datasetBuilder;
 
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/regressions/linear/LinearRegressionLSQRTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/regressions/linear/LinearRegressionLSQRTrainerTest.java
@@ -20,7 +20,7 @@
 import java.util.HashMap;
 import java.util.Map;
 import java.util.Random;
-import org.apache.ignite.ml.common.TrainerTest;
+import org.apache.ignite.ml.common.TrainerTestBase;
 import org.apache.ignite.ml.dataset.feature.extractor.Vectorizer;
 import org.apache.ignite.ml.dataset.feature.extractor.impl.DoubleArrayVectorizer;
 import org.junit.Test;
@@ -31,7 +31,7 @@
 /**
  * Tests for {@link LinearRegressionLSQRTrainer}.
  */
-public class LinearRegressionLSQRTrainerTest extends TrainerTest {
+public class LinearRegressionLSQRTrainerTest extends TrainerTestBase {
     /**
      * Tests {@code fit()} method on a simple small dataset.
      */
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainerTest.java
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/regressions/logistic/LogisticRegressionSGDTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/regressions/logistic/LogisticRegressionSGDTrainerTest.java
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/selection/cv/CrossValidationTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/selection/cv/CrossValidationTest.java
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/selection/scoring/evaluator/BinaryClassificationEvaluatorTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/selection/scoring/evaluator/BinaryClassificationEvaluatorTest.java
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/selection/scoring/evaluator/RegressionEvaluatorTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/selection/scoring/evaluator/RegressionEvaluatorTest.java
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/svm/SVMBinaryTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/svm/SVMBinaryTrainerTest.java
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/tree/randomforest/RandomForestClassifierTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/tree/randomforest/RandomForestClassifierTrainerTest.java
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/tree/randomforest/RandomForestRegressionTrainerTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/tree/randomforest/RandomForestRegressionTrainerTest.java
diff --git a/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/util/generators/DataStreamGeneratorFillCacheTest.java b/modules/ml-ext/ml/src/test/java/org/apache/ignite/ml/util/generators/DataStreamGeneratorFillCacheTest.java
