dotnet · eerhardt · May 4, 2018 · May 4, 2018 · May 4, 2018 · May 4, 2018
diff --git a/build.sh b/build.sh
diff --git a/init-tools.sh b/init-tools.sh
diff --git a/run.sh b/run.sh
diff --git a/src/Native/build.sh b/src/Native/build.sh
diff --git a/test/Microsoft.ML.Core.Tests/UnitTests/TestCSharpApi.cs b/test/Microsoft.ML.Core.Tests/UnitTests/TestCSharpApi.cs
@@ -269,7 +269,7 @@ public void TestCrossValidationBinaryMacro()
             }
         }
 
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public void TestCrossValidationMacro()
         {
             var dataPath = GetDataPath(@"housing.txt");

diff --git a/test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs b/test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs
@@ -855,7 +855,7 @@ public void EntryPointEvaluateMultiClass()
                 Assert.Equal(3, CountRows(loader));
         }
 
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public void EntryPointEvaluateRegression()
         {
             var dataPath = GetDataPath("housing.txt");
@@ -887,7 +887,7 @@ public void EntryPointSDCAMultiClass()
             TestEntryPointRoutine("iris.txt", "Trainers.StochasticDualCoordinateAscentClassifier");
         }
 
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public void EntryPointSDCARegression()
         {
             TestEntryPointRoutine("housing.txt", "Trainers.StochasticDualCoordinateAscentRegressor");
@@ -961,7 +961,7 @@ public void EntryPointHogwildSGD()
             TestEntryPointRoutine("breast-cancer.txt", "Trainers.StochasticGradientDescentBinaryClassifier");
         }
 
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public void EntryPointPoissonRegression()
         {
             TestEntryPointRoutine("housing.txt", "Trainers.PoissonRegressor");

diff --git a/test/Microsoft.ML.Tests/PredictionModelTests.cs b/test/Microsoft.ML.Tests/PredictionModelTests.cs
@@ -41,7 +41,7 @@ public class HousePricePrediction
             public float Price;
         }
 
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public async Task ReadStrongTypeModelFromStream()
         {
             using (var memoryStream = new MemoryStream())

diff --git a/test/Microsoft.ML.Tests/Scenarios/Scenario_HousePricePrediction.cs b/test/Microsoft.ML.Tests/Scenarios/Scenario_HousePricePrediction.cs
@@ -16,7 +16,7 @@ A real-estate firm Contoso wants to add a house price prediction to their ASP.NE
          The application will let users submit information about their house, and see a price they could expect if they put the house for sale.
          Because real estate transaction data is public, Contoso has historical data they intend to use to train Machine Learning prediction engine. 
         */
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public async void PredictHousePriceModelTest()
         {
             string modelFilePath = GetOutputPath("PredictHousePriceModelTest.zip");

diff --git a/test/Microsoft.ML.Tests/Scenarios/Scenario_TrainPredictionModel.cs b/test/Microsoft.ML.Tests/Scenarios/Scenario_TrainPredictionModel.cs
@@ -11,7 +11,7 @@ namespace Microsoft.ML.Scenarios
 {
     public partial class Top5Scenarios
     {
-        [Fact]
+        [Fact(Skip = "Missing data set. See https://github.com/dotnet/machinelearning/issues/3")]
         public void TrainAndPredictHousePriceModelTest()
         {
             string dataPath = GetDataPath("kc_house_data.csv");

diff --git a/test/data/MNIST.Train.0-class.tiny.txt b/test/data/MNIST.Train.0-class.tiny.txt
diff --git a/test/data/Train-Tiny-28x28.txt b/test/data/Train-Tiny-28x28.txt