[Test] Fix scores for dcg in RankEvalRequestIT and RankEvalYamlIT

Allow small deviations when asserting ranking scores, otherwise some tests break
on floating point calculation differences e.g. when running on ARM.

modules/rank-eval/src/test/java/org/elasticsearch/index/rankeval/RankEvalRequestIT.java

@@ -171,7 +171,7 @@ public class RankEvalRequestIT extends ESIntegTestCase {
         builder.setRankEvalSpec(task);
 
         RankEvalResponse response = client().execute(RankEvalAction.INSTANCE, builder.request()).actionGet();
-        assertEquals(DiscountedCumulativeGainTests.EXPECTED_DCG, response.getEvaluationResult(), Double.MIN_VALUE);
+        assertEquals(DiscountedCumulativeGainTests.EXPECTED_DCG, response.getEvaluationResult(), 10E-14);
 
         // test that a different window size k affects the result
         metric = new DiscountedCumulativeGain(false, null, 3);
@@ -182,7 +182,7 @@ public class RankEvalRequestIT extends ESIntegTestCase {
         builder.setRankEvalSpec(task);
 
         response = client().execute(RankEvalAction.INSTANCE, builder.request()).actionGet();
-        assertEquals(12.392789260714371, response.getEvaluationResult(), Double.MIN_VALUE);
+        assertEquals(12.39278926071437, response.getEvaluationResult(), 10E-14);
     }
 
     public void testMRRRequest() {
@@ -205,7 +205,7 @@ public class RankEvalRequestIT extends ESIntegTestCase {
         // the expected reciprocal rank for the amsterdam_query is 1/5
         // the expected reciprocal rank for the berlin_query is 1/1
         // dividing by 2 to get the average
-        double expectedMRR = (1.0 / 1.0 + 1.0 / 5.0) / 2.0;
+        double expectedMRR = (1.0 + 1.0 / 5.0) / 2.0;
         assertEquals(expectedMRR, response.getEvaluationResult(), 0.0);
 
         // test that a different window size k affects the result
@@ -220,7 +220,7 @@ public class RankEvalRequestIT extends ESIntegTestCase {
         // limiting to top 3 results, the amsterdam_query has no relevant document in it
         // the reciprocal rank for the berlin_query is 1/1
         // dividing by 2 to get the average
-        expectedMRR = (1.0/ 1.0) / 2.0;
+        expectedMRR = 1.0 / 2.0;
         assertEquals(expectedMRR, response.getEvaluationResult(), 0.0);
     }
 

modules/rank-eval/src/test/resources/rest-api-spec/test/rank_eval/10_basic.yml

@@ -152,8 +152,10 @@
         }
 
 # average is (1/3 + 1/2)/2 = 5/12 ~ 0.41666666666666663
-  - match: {rank_eval.quality_level: 0.41666666666666663}
-  - match: {rank_eval.details.amsterdam_query.quality_level: 0.3333333333333333}
+  - gt: {rank_eval.quality_level: 0.416}
+  - lt: {rank_eval.quality_level: 0.417}
+  - gt: {rank_eval.details.amsterdam_query.quality_level: 0.333}
+  - lt: {rank_eval.details.amsterdam_query.quality_level: 0.334}
   - match: {rank_eval.details.amsterdam_query.metric_details: {"first_relevant": 3}}
   - match: {rank_eval.details.amsterdam_query.unknown_docs:  [ {"_index": "foo", "_id": "doc2"},
                                                                {"_index": "foo", "_id": "doc3"} ]}

modules/rank-eval/src/test/resources/rest-api-spec/test/rank_eval/20_dcg.yml

@@ -69,8 +69,10 @@
           "metric" : { "dcg": {}}
         }
 
-  - match: {rank_eval.quality_level: 13.84826362927298}
-  - match: {rank_eval.details.dcg_query.quality_level: 13.84826362927298}
+  - gt: {rank_eval.quality_level: 13.848263 }
+  - lt: {rank_eval.quality_level: 13.848264 }
+  - gt: {rank_eval.details.dcg_query.quality_level: 13.848263}
+  - lt: {rank_eval.details.dcg_query.quality_level: 13.848264}
   - match: {rank_eval.details.dcg_query.unknown_docs: [ ]}
 
 # reverse the order in which the results are returned (less relevant docs first)
@@ -94,8 +96,10 @@
           "metric" : { "dcg": { }}
         }
 
-  - match: {rank_eval.quality_level: 10.29967439154499}
-  - match: {rank_eval.details.dcg_query_reverse.quality_level: 10.29967439154499}
+  - gt: {rank_eval.quality_level: 10.299674}
+  - lt: {rank_eval.quality_level: 10.299675}
+  - gt: {rank_eval.details.dcg_query_reverse.quality_level: 10.299674}
+  - lt: {rank_eval.details.dcg_query_reverse.quality_level: 10.299675}
   - match: {rank_eval.details.dcg_query_reverse.unknown_docs: [ ]}
 
 # if we mix both, we should get the average
@@ -130,8 +134,11 @@
           "metric" : { "dcg": { }}
         }
 
-  - match: {rank_eval.quality_level: 12.073969010408984}
-  - match: {rank_eval.details.dcg_query.quality_level: 13.84826362927298}
+  - gt: {rank_eval.quality_level: 12.073969}
+  - lt: {rank_eval.quality_level: 12.073970}
+  - gt: {rank_eval.details.dcg_query.quality_level: 13.848263}
+  - lt: {rank_eval.details.dcg_query.quality_level: 13.848264}
   - match: {rank_eval.details.dcg_query.unknown_docs: [ ]}
-  - match: {rank_eval.details.dcg_query_reverse.quality_level: 10.29967439154499}
+  - gt: {rank_eval.details.dcg_query_reverse.quality_level: 10.299674}
+  - lt: {rank_eval.details.dcg_query_reverse.quality_level: 10.299675}
   - match: {rank_eval.details.dcg_query_reverse.unknown_docs: [ ]}