Reverted back some spacing. Accidentally reverted some changes in Evaluation.cs so got those back

Author: Lynx1820

test/Microsoft.ML.Functional.Tests/Evaluation.cs

@@ -2,10 +2,12 @@
 // The .NET Foundation licenses this file to you under the MIT license.
 // See the LICENSE file in the project root for more information.
 
+using Microsoft.ML.Data;
 using Microsoft.ML.Functional.Tests.Datasets;
 using Microsoft.ML.RunTests;
 using Microsoft.ML.TestFramework;
 using Microsoft.ML.TestFramework.Attributes;
+using Microsoft.ML.Tools;
 using Microsoft.ML.Trainers;
 using Microsoft.ML.Trainers.FastTree;
 using Xunit;
@@ -165,14 +167,8 @@ public void TrainAndEvaluateMulticlassClassification()
             Common.AssertMetrics(metrics);
         }
 
-        /// <summary>
-        /// Train and Evaluate: Ranking.
-        /// </summary>
-        [Fact]
-        public void TrainAndEvaluateRanking()
+        private IDataView GetScoredDataForRankingEvaluation(MLContext mlContext)
         {
-            var mlContext = new MLContext(seed: 1);
-
             var data = Iris.LoadAsRankingProblem(mlContext,
                 GetDataPath(TestDatasets.iris.trainFilename),
                 hasHeader: TestDatasets.iris.fileHasHeader,
@@ -187,12 +183,45 @@ public void TrainAndEvaluateRanking()
 
             // Evaluate the model.
             var scoredData = model.Transform(data);
+
+            return scoredData;
+        }
+
+        /// <summary>
+        /// Train and Evaluate: Ranking.
+        /// </summary>
+        [Fact]
+        public void TrainAndEvaluateRanking()
+        {
+            var mlContext = new MLContext(seed: 1);
+
+            var scoredData = GetScoredDataForRankingEvaluation(mlContext);
             var metrics = mlContext.Ranking.Evaluate(scoredData, labelColumnName: "Label", rowGroupColumnName: "GroupId");
 
             // Check that the metrics returned are valid.
             Common.AssertMetrics(metrics);
         }
 
+        /// <summary>
+        /// Train and Evaluate: Ranking with options.
+        /// </summary>
+        [Fact]
+        public void TrainAndEvaluateRankingWithOptions()
+        {
+            var mlContext = new MLContext(seed: 1);
+            int[] tlevels = { 50, 150, 100 };
+            var options = new RankingEvaluatorOptions();
+            foreach (int i in tlevels)
+            {
+                options.DcgTruncationLevel = i;
+                var scoredData = GetScoredDataForRankingEvaluation(mlContext);
+                var metrics = mlContext.Ranking.Evaluate(scoredData, options, labelColumnName: "Label", rowGroupColumnName: "GroupId");
+                Common.AssertMetrics(metrics);
+            }
+
+
+        }
+
         /// <summary>
         /// Train and Evaluate: Recommendation.
         /// </summary>

test/Microsoft.ML.TestFramework/Microsoft.ML.TestFramework.csproj

@@ -23,6 +23,6 @@
     <NativeAssemblyReference Include="MklProxyNative" />
     <NativeAssemblyReference Include="MatrixFactorizationNative" />
     <NativeAssemblyReference Include="MklImports" />
-    <NativeAssemblyReference Condition="'$(OS)' == 'Windows_NT'" Include="libiomp5md" />
+    <NativeAssemblyReference Condition="'$(OS)' == 'Windows_NT'" Include="libiomp5md"/>
   </ItemGroup>
 </Project>

test/Microsoft.ML.TestFramework/TestCommandBase.cs

@@ -846,6 +846,7 @@ public void SaveMulticlassLrPredictorAsSummary()
             _step++;
             OutputPath summaryModel = CreateOutputPath("summary.txt");
             TestInCore("savepredictor", null, trainModel, null, summaryModel.Arg("sum"));
+
             Done();
         }