Fixed errors with commits

apache · Apr 6, 2022 · 8efe298 · 8efe298
1 parent 1091c17
commit 8efe298
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Showing 2 changed files with 2 additions and 68 deletions.
diff --git a/...odels-mining-tests/src/test/java/org/kie/pmml/mining/tests/SegmentationMaxMiningTest.java b/...odels-mining-tests/src/test/java/org/kie/pmml/mining/tests/SegmentationMaxMiningTest.java
@@ -73,6 +73,6 @@ public void testSegmentationMedianMiningTest() {
         PMML4Result pmml4Result = evaluate(pmmlRuntime, inputData, MODEL_NAME);
 
         assertThat(pmml4Result.getResultVariables().get(TARGET_FIELD)).isNotNull();
-        `pmml4Result.getResultVariables().get(TARGET_FIELD)).isEqualTo(result);
+        assertThat(pmml4Result.getResultVariables().get(TARGET_FIELD)).isEqualTo(result);
     }
 }
diff --git a/...sts/src/test/java/org/kie/pmml/models/scorecard/tests/SimpleScorecardCategoricalTest.java b/...sts/src/test/java/org/kie/pmml/models/scorecard/tests/SimpleScorecardCategoricalTest.java
@@ -82,73 +82,7 @@ public static Collection<Object[]> data() {
     public void testSimpleScorecardCategorical() {
         final Map<String, Object> inputData = new HashMap<>();
         inputData.put("input1", input1);
-        inputData.put("input2", input2); * Copyright 2021 Red Hat, Inc. and/or its affiliates.
-        package org.kie.pmml.models.scorecard.tests;
-
-        import java.util.Arrays;
-        import java.util.Collection;
-        import java.util.HashMap;
-        import java.util.Map;
-
-        import static org.assertj.core.api.Assertions.assertThat;
-        import org.assertj.core.data.Percentage;
-        import org.junit.BeforeClass;
-        import org.junit.Test;
-        import org.junit.runner.RunWith;
-        import org.junit.runners.Parameterized;
-        import org.kie.api.pmml.PMML4Result;
-        import org.kie.pmml.api.runtime.PMMLRuntime;
-        import org.kie.pmml.models.tests.AbstractPMMLTest;
-
-        @RunWith(Parameterized.class)
-        public class MultipleAirconditioningScorecardTest extends AbstractPMMLTest {
-            private static final String FILE_NAME = "MultipleScorecard.pmml";
-            private static final String MODEL_NAME = "Forecast Score";
-            private static final String TARGET_FIELD = "forecastScore";
-            private static PMMLRuntime pmmlRuntime;
-
-            private String period;
-            private String worldContinent;
-            private boolean precipitation;
-            private double humidity;
-            private double score;
-
-            public MultipleAirconditioningScorecardTest(String period, String worldContinent, boolean precipitation, double humidity,
-                                                        double score) {
-                this.period = period;
-                this.worldContinent = worldContinent;
-                this.precipitation = precipitation;
-                this.humidity = humidity;
-                this.score = score;
-            }
-
-            @BeforeClass
-            public static void setupClass() {
-                pmmlRuntime = getPMMLRuntime(FILE_NAME);
-            }
-
-            @Parameterized.Parameters
-            public static Collection<Object[]> data() {
-                return Arrays.asList(new Object[][]{
-                        {"SPRING", "EUROPE", true, 25.0, 9.5},
-                        {"SUMMER", "ASIA", true, 35.0, 10.0},
-                });
-            }
-
-            @Test
-            public void testAirconditioningScorecard() {
-                final Map<String, Object> inputData = new HashMap<>();
-                inputData.put("period", period);
-                inputData.put("worldcontinent", worldContinent);
-                inputData.put("precipitation", precipitation);
-                inputData.put("humidity", humidity);
-                PMML4Result pmml4Result = evaluate(pmmlRuntime, inputData, MODEL_NAME);
-
-                assertThat(pmml4Result.getResultVariables().get(TARGET_FIELD)).isNotNull();
-                assertThat((double) (pmml4Result.getResultVariables().get(TARGET_FIELD)))
-                        .isCloseTo(score, Percentage.withPercentage(0.1));
-            }
-        }
+        inputData.put("input2", input2); 
 
         PMML4Result pmml4Result = evaluate(pmmlRuntime, inputData, MODEL_NAME);