add nb_example data

TensorFlow.NET.sln

@@ -17,8 +17,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Keras.UnitTest", "test\Kera
 EndProject
 Project("{6EC3EE1D-3C4E-46DD-8F32-0CC8E7565705}") = "TensorFlowNET.Examples.FSharp", "test\TensorFlowNET.Examples.FSharp\TensorFlowNET.Examples.FSharp.fsproj", "{62BC3801-F0D3-44A9-A0AC-712F40C8F961}"
 EndProject
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "NumSharp.Core", "..\NumSharp\src\NumSharp.Core\NumSharp.Core.csproj", "{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}"
-EndProject
 Global
 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
 		Debug|Any CPU = Debug|Any CPU
@@ -53,10 +51,6 @@ Global
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Debug|Any CPU.Build.0 = Debug|Any CPU
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Release|Any CPU.ActiveCfg = Release|Any CPU
 		{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Release|Any CPU.Build.0 = Release|Any CPU
-		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{E038A3C1-9055-4BF4-BE5B-0E7D661A7EB3}.Release|Any CPU.Build.0 = Release|Any CPU
 	EndGlobalSection
 	GlobalSection(SolutionProperties) = preSolution
 		HideSolutionNode = FALSE

src/TensorFlowNET.Core/TensorFlowNET.Core.csproj

@@ -62,10 +62,6 @@ Docs: https://tensorflownet.readthedocs.io</Description>
     <Folder Include="Keras\Initializers\" />
   </ItemGroup>
 
-  <ItemGroup>
-    <ProjectReference Include="..\..\..\NumSharp\src\NumSharp.Core\NumSharp.Core.csproj" />
-  </ItemGroup>
-
   <ItemGroup>
     <Reference Include="NumSharp.Core">
       <HintPath>..\..\..\..\NumSharp\src\NumSharp.Core\bin\Debug\netstandard2.0\NumSharp.Core.dll</HintPath>

test/TensorFlowNET.Examples/BasicModels/NaiveBayesClassifier.cs

@@ -5,6 +5,8 @@ using Tensorflow;
 using NumSharp;
 using System.Linq;
 using static Tensorflow.Python;
+using System.IO;
+using TensorFlowNET.Examples.Utility;
 
 namespace TensorFlowNET.Examples
 {
@@ -34,10 +36,10 @@ namespace TensorFlowNET.Examples
             var (xx, yy) = np.meshgrid(np.linspace(x_min, x_max, 30), np.linspace(y_min, y_max, 30));
             with(tf.Session(), sess =>
             {
-                var samples = np.vstack<float>(xx.ravel(), yy.ravel());
-                samples = np.transpose(samples);
-                var array = np.Load<double[,]>("H:\\PythonApplication1\\PythonApplication1\\data.npy");
-                samples = np.array(array).astype(np.float32);
+                //var samples = np.vstack<float>(xx.ravel(), yy.ravel());
+                //samples = np.transpose(samples);
+                var array = np.Load<double[,]>(Path.Join("nb", "nb_example.npy"));
+                var samples = np.array(array).astype(np.float32);
                 var Z = sess.run(predict(samples));
             });
 
@@ -170,6 +172,10 @@ namespace TensorFlowNET.Examples
                         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
                         2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
                         2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2);
+
+
+            string url = "https://raw.githubusercontent.com/SciSharp/TensorFlow.NET/master/data/nb_example.npy";
+            Web.Download(url, "nb", "nb_example.npy");
             #endregion
         }