Reverted fixed seed related changes from the code generator tests

dotnet · Jan 29, 2020 · 4492586 · 4492586
1 parent 853b68b
commit 4492586
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Showing 9 changed files with 64 additions and 64 deletions.
diff --git a/...s/ApprovalTests/ConsoleCodeGeneratorTests.ConsoleAppProgramCSFileContentTest.approved.txt b/...s/ApprovalTests/ConsoleCodeGeneratorTests.ConsoleAppProgramCSFileContentTest.approved.txt
@@ -42,7 +42,7 @@ namespace TestNamespace.ConsoleApp
         private static ModelInput CreateSingleDataSample(string dataFilePath)
         {
             // Create MLContext
-            MLContext mlContext = new MLContext(1);
+            MLContext mlContext = new MLContext();
 
             // Load dataset
             IDataView dataView = mlContext.Data.LoadFromTextFile<ModelInput>(

diff --git a/...erator.Tests/ApprovalTests/ConsoleCodeGeneratorTests.ConsumeModelContentTest.approved.txt b/...erator.Tests/ApprovalTests/ConsoleCodeGeneratorTests.ConsumeModelContentTest.approved.txt
@@ -21,7 +21,7 @@ namespace TestNamespace.Model
         {
 
             // Create new MLContext
-            MLContext mlContext = new MLContext(1);
+            MLContext mlContext = new MLContext();
 
             // Load model & create prediction engine
             string modelPath = AppDomain.CurrentDomain.BaseDirectory + "MLModel.zip";

diff --git a/...s/ApprovalTests/ConsoleCodeGeneratorTests.PredictionProgramCSFileContentTest.approved.txt b/...s/ApprovalTests/ConsoleCodeGeneratorTests.PredictionProgramCSFileContentTest.approved.txt
@@ -42,7 +42,7 @@ namespace TestNamespace.ConsoleApp
         private static ModelInput CreateSingleDataSample(string dataFilePath)
         {
             // Create MLContext
-            MLContext mlContext = new MLContext(1);
+            MLContext mlContext = new MLContext();
 
             // Load dataset
             IDataView dataView = mlContext.Data.LoadFromTextFile<ModelInput>(

diff --git a/...rTests.Recommendation_GenerateConsoleAppProjectContents_VerifyPredictProgram.approved.txt b/...rTests.Recommendation_GenerateConsoleAppProjectContents_VerifyPredictProgram.approved.txt
@@ -39,7 +39,7 @@ namespace TestNamespace.ConsoleApp
         private static ModelInput CreateSingleDataSample(string dataFilePath)
         {
             // Create MLContext
-            MLContext mlContext = new MLContext(1);
+            MLContext mlContext = new MLContext();
 
             // Load dataset
             IDataView dataView = mlContext.Data.LoadFromTextFile<ModelInput>(

diff --git a/...eneratorTests.Recommendation_GenerateModelProjectContents_VerifyConsumeModel.approved.txt b/...eneratorTests.Recommendation_GenerateModelProjectContents_VerifyConsumeModel.approved.txt
@@ -21,7 +21,7 @@ namespace TestNamespace.Model
         {
 
             // Create new MLContext
-            MLContext mlContext = new MLContext(1);
+            MLContext mlContext = new MLContext();
 
             // Load model & create prediction engine
             string modelPath = AppDomain.CurrentDomain.BaseDirectory + "MLModel.zip";

diff --git a/test/Microsoft.ML.CodeGenerator.Tests/ApprovalTests/ConsoleCodeGeneratorTests.cs b/test/Microsoft.ML.CodeGenerator.Tests/ApprovalTests/ConsoleCodeGeneratorTests.cs
@@ -294,7 +294,7 @@ private CodeGenerator PrepareForRecommendationTask()
         {
             if (mockedPipeline == null)
             {
-                MLContext context = new MLContext(1);
+                MLContext context = new MLContext();
 
                 var trainer1 = new SuggestedTrainer(context, new MatrixFactorizationExtension(), new ColumnInformation() {
                     LabelColumnName = "Label",
@@ -335,7 +335,7 @@ private CodeGenerator PrepareForRecommendationTask()
         {
             if (mockedPipeline == null)
             {
-                MLContext context = new MLContext(1);
+                MLContext context = new MLContext();
                 // same learners with different hyperparams
                 var hyperparams1 = new Microsoft.ML.AutoML.ParameterSet(new List<Microsoft.ML.AutoML.IParameterValue>() { new LongParameterValue("NumLeaves", 2) });
                 var trainer1 = new SuggestedTrainer(context, new LightGbmBinaryExtension(), new ColumnInformation(), hyperparams1);
@@ -372,7 +372,7 @@ private CodeGenerator PrepareForRecommendationTask()
         {
             if (mockedPipeline == null)
             {
-                MLContext context = new MLContext(1);
+                MLContext context = new MLContext();
                 // same learners with different hyperparams
                 var hyperparams1 = new Microsoft.ML.AutoML.ParameterSet(new List<Microsoft.ML.AutoML.IParameterValue>() { new LongParameterValue("NumLeaves", 2) });
                 var trainer1 = new SuggestedTrainer(context, new LightGbmRegressionExtension(), new ColumnInformation(), hyperparams1);
@@ -409,7 +409,7 @@ private CodeGenerator PrepareForRecommendationTask()
         {
             if (mockedOvaPipeline == null)
             {
-                MLContext context = new MLContext(1);
+                MLContext context = new MLContext();
                 // same learners with different hyperparams
                 var hyperparams1 = new Microsoft.ML.AutoML.ParameterSet(new List<Microsoft.ML.AutoML.IParameterValue>() { new LongParameterValue("NumLeaves", 2) });
                 var trainer1 = new SuggestedTrainer(context, new FastForestOvaExtension(), new ColumnInformation(), hyperparams1);

diff --git a/test/Microsoft.ML.CodeGenerator.Tests/CodeGenTests.cs b/test/Microsoft.ML.CodeGenerator.Tests/CodeGenTests.cs
@@ -17,7 +17,7 @@ public class CodeGeneratorTests
         [Fact]
         public void TrainerGeneratorBasicNamedParameterTest()
         {
-            var context = new MLContext(1);
+            var context = new MLContext();
 
             var elementProperties = new Dictionary<string, object>()
             {
@@ -37,7 +37,7 @@ public void TrainerGeneratorBasicNamedParameterTest()
         [Fact]
         public void TrainerGeneratorBasicAdvancedParameterTest()
         {
-            var context = new MLContext(1);
+            var context = new MLContext();
 
             var elementProperties = new Dictionary<string, object>()
             {
@@ -58,7 +58,7 @@ public void TrainerGeneratorBasicAdvancedParameterTest()
         [Fact]
         public void TransformGeneratorBasicTest()
         {
-            var context = new MLContext(1);
+            var context = new MLContext();
             var elementProperties = new Dictionary<string, object>();
             PipelineNode node = new PipelineNode("Normalizing", PipelineNodeType.Transform, new string[] { "Label" }, new string[] { "Label" }, elementProperties);
             Pipeline pipeline = new Pipeline(new PipelineNode[] { node });
@@ -72,7 +72,7 @@ public void TransformGeneratorBasicTest()
         [Fact]
         public void TransformGeneratorUsingTest()
         {
-            var context = new MLContext(1);
+            var context = new MLContext();
             var elementProperties = new Dictionary<string, object>();
             PipelineNode node = new PipelineNode("OneHotEncoding", PipelineNodeType.Transform, new string[] { "Label" }, new string[] { "Label" }, elementProperties);
             Pipeline pipeline = new Pipeline(new PipelineNode[] { node });
@@ -117,7 +117,7 @@ public void ClassLabelGenerationBasicTest()
         [Fact]
         public void TrainerComplexParameterTest()
         {
-            var context = new MLContext(1);
+            var context = new MLContext();
 
             var elementProperties = new Dictionary<string, object>()
             {