Add reference to MKL nuget.

Author: codemzs

src/Microsoft.ML/Microsoft.ML.csproj

@@ -7,6 +7,7 @@
   </PropertyGroup>
 
   <ItemGroup>
+    <PackageReference Include="MlNetMklDeps" Version="0.0.0.1" />
     <PackageReference Include="System.CodeDom" Version="$(SystemCodeDomPackageVersion)" />
     <PackageReference Include="Newtonsoft.Json" Version="$(NewtonsoftJsonPackageVersion)" />
   </ItemGroup>

src/Native/SymSgdNative/CMakeLists.txt

@@ -5,13 +5,13 @@ set(SOURCES
 )
 
 if(WIN32)
-    link_directories(${CMAKE_SOURCE_DIR}/../../packages/MlNetMklDeps/runtimes/win-x64/native)
+    link_directories(${CMAKE_SOURCE_DIR}/../../packages/MlNetMklDeps/0.0.0.1/runtimes/win-x64/native)
 else()
     list(APPEND SOURCES ${VERSION_FILE_PATH})
     if(APPLE)
-        link_directories(${CMAKE_SOURCE_DIR}/../../packages/MlNetMklDeps/runtimes/osx-x64/native)
+        link_directories(${CMAKE_SOURCE_DIR}/../../packages/MlNetMklDeps/0.0.0.1/runtimes/osx-x64/native)
     else()
-        link_directories(${CMAKE_SOURCE_DIR}/../../packages/MlNetMklDeps/runtimes/linux-x64/native)
+        link_directories(${CMAKE_SOURCE_DIR}/../../packages/MlNetMklDeps/0.0.0.1/runtimes/linux-x64/native)
     endif()
 endif()
 

test/Microsoft.ML.Predictor.Tests/Microsoft.ML.Predictor.Tests.csproj

@@ -30,4 +30,8 @@
     <NativeAssemblyReference Include="SymSgdNative" />
   </ItemGroup>
 
+  <ItemGroup>
+    <PackageReference Include="MlNetMklDeps" Version="0.0.0.1" />
+  </ItemGroup>
+  
 </Project>

test/Microsoft.ML.Tests/Microsoft.ML.Tests.csproj

@@ -23,4 +23,8 @@
     <NativeAssemblyReference Include="LdaNative" />
 	<NativeAssemblyReference Include="SymSgdNative" />
   </ItemGroup>
+  
+  <ItemGroup>
+    <PackageReference Include="MlNetMklDeps" Version="0.0.0.1" />
+  </ItemGroup>
 </Project>

test/Microsoft.ML.Tests/Scenarios/SentimentPredictionTests.cs

@@ -190,16 +190,16 @@ public void CrossValidateSentimentModelTest()
         private void ValidateBinaryMetricsSymSGD(BinaryClassificationMetrics metrics)
         {
 
-            Assert.Equal(.9444, metrics.Accuracy, 4);
+            Assert.Equal(.8889, metrics.Accuracy, 4);
             Assert.Equal(1, metrics.Auc, 1);
-            Assert.Equal(1, metrics.Auprc, 2);
+            Assert.Equal(0.96, metrics.Auprc, 2);
             Assert.Equal(1, metrics.Entropy, 3);
-            Assert.Equal(.9474, metrics.F1Score, 4);
-            Assert.Equal(.113, metrics.LogLoss, 3);
-            Assert.Equal(88.722, metrics.LogLossReduction, 3);
+            Assert.Equal(.9, metrics.F1Score, 4);
+            Assert.Equal(.97, metrics.LogLoss, 3);
+            Assert.Equal(3.030, metrics.LogLossReduction, 3);
             Assert.Equal(1, metrics.NegativePrecision, 3);
-            Assert.Equal(.889, metrics.NegativeRecall, 3);
-            Assert.Equal(.9, metrics.PositivePrecision, 3);
+            Assert.Equal(.778, metrics.NegativeRecall, 3);
+            Assert.Equal(.818, metrics.PositivePrecision, 3);
             Assert.Equal(1, metrics.PositiveRecall);
 
             var matrix = metrics.ConfusionMatrix;
@@ -213,10 +213,10 @@ private void ValidateBinaryMetricsSymSGD(BinaryClassificationMetrics metrics)
             Assert.Equal(0, matrix[0, 1]);
             Assert.Equal(0, matrix["positive", "negative"]);
 
-            Assert.Equal(1, matrix[1, 0]);
-            Assert.Equal(1, matrix["negative", "positive"]);
-            Assert.Equal(8, matrix[1, 1]);
-            Assert.Equal(8, matrix["negative", "negative"]);
+            Assert.Equal(2, matrix[1, 0]);
+            Assert.Equal(2, matrix["negative", "positive"]);
+            Assert.Equal(7, matrix[1, 1]);
+            Assert.Equal(7, matrix["negative", "negative"]);
 
         }