add train and predict interfaces to IExample.

test/TensorFlowNET.Examples/BasicEagerApi.cs

@@ -11,10 +11,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class BasicEagerApi : IExample
     {
-        public int Priority => 100;
         public bool Enabled { get; set; } = false;
         public string Name => "Basic Eager";
-        public bool ImportGraph { get; set; } = false;
+        public bool IsImportingGraph { get; set; } = false;
 
         private Tensor a, b, c, d;
 
@@ -46,5 +45,25 @@ namespace TensorFlowNET.Examples
         public void PrepareData()
         {
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/BasicModels/KMeansClustering.cs

@@ -18,10 +18,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class KMeansClustering : IExample
     {
-        public int Priority => 8;
         public bool Enabled { get; set; } = true;
         public string Name => "K-means Clustering";
-        public bool ImportGraph { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = true;
 
         public int? train_size = null;
         public int validation_size = 5000;
@@ -127,5 +126,25 @@ namespace TensorFlowNET.Examples
             string url = "https://raw.githubusercontent.com/SciSharp/TensorFlow.NET/master/graph/kmeans.meta";
             Web.Download(url, "graph", "kmeans.meta");
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/BasicModels/LinearRegression.cs

@@ -13,11 +13,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class LinearRegression : IExample
     {
-        public int Priority => 3;
         public bool Enabled { get; set; } = true;
         public string Name => "Linear Regression";
-        public bool ImportGraph { get; set; } = false;
-
+        public bool IsImportingGraph { get; set; } = false;
 
         public int training_epochs = 1000;
 
@@ -113,5 +111,25 @@ namespace TensorFlowNET.Examples
                          2.827f, 3.465f, 1.65f, 2.904f, 2.42f, 2.94f, 1.3f);
             n_samples = train_X.shape[0];
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/BasicModels/LogisticRegression.cs

@@ -18,10 +18,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class LogisticRegression : IExample
     {
-        public int Priority => 4;
         public bool Enabled { get; set; } = true;
         public string Name => "Logistic Regression";
-        public bool ImportGraph { get; set; } = false;
+        public bool IsImportingGraph { get; set; } = false;
 
 
         public int training_epochs = 10;
@@ -158,5 +157,25 @@ namespace TensorFlowNET.Examples
                     throw new ValueError("predict error, should be 90% accuracy");
             });
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        bool IExample.Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/BasicModels/NaiveBayesClassifier.cs

@@ -13,10 +13,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class NaiveBayesClassifier : IExample
     {
-        public int Priority => 6;
         public bool Enabled { get; set; } = true;
         public string Name => "Naive Bayes Classifier";
-        public bool ImportGraph { get; set; } = false;
+        public bool IsImportingGraph { get; set; } = false;
 
         public NDArray X, y;
         public Normal dist { get; set; }
@@ -96,7 +95,7 @@ namespace TensorFlowNET.Examples
             this.dist = dist;
         }
 
-        public Tensor predict (NDArray X)
+        public Tensor predict(NDArray X)
         {
             if (dist == null)
             {
@@ -170,5 +169,25 @@ namespace TensorFlowNET.Examples
                         2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2);
             #endregion
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/BasicModels/NearestNeighbor.cs

@@ -15,7 +15,6 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class NearestNeighbor : IExample
     {
-        public int Priority => 5;
         public bool Enabled { get; set; } = true;
         public string Name => "Nearest Neighbor";
         Datasets mnist;
@@ -23,7 +22,7 @@ namespace TensorFlowNET.Examples
         public int? TrainSize = null;
         public int ValidationSize = 5000;
         public int? TestSize = null;
-        public bool ImportGraph { get; set; } = false;
+        public bool IsImportingGraph { get; set; } = false;
 
 
         public bool Run()
@@ -76,5 +75,25 @@ namespace TensorFlowNET.Examples
             (Xtr, Ytr) = mnist.train.next_batch(TrainSize==null ? 5000 : TrainSize.Value / 100); // 5000 for training (nn candidates)
             (Xte, Yte) = mnist.test.next_batch(TestSize==null ? 200 : TestSize.Value / 100); // 200 for testing
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/BasicModels/NeuralNetXor.cs

@@ -14,10 +14,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class NeuralNetXor : IExample
     {
-        public int Priority => 10;
         public bool Enabled { get; set; } = true;
         public string Name => "NN XOR";
-        public bool ImportGraph { get; set; } = false;
+        public bool IsImportingGraph { get; set; } = false;
 
         public int num_steps = 10000;
 
@@ -54,7 +53,7 @@ namespace TensorFlowNET.Examples
         {
             PrepareData();
             float loss_value = 0;
-            if (ImportGraph)
+            if (IsImportingGraph)
                 loss_value = RunWithImportedGraph();
             else
                 loss_value = RunWithBuiltGraph();
@@ -145,12 +144,32 @@ namespace TensorFlowNET.Examples
                 {0, 1 }
             };
 
-            if (ImportGraph)
+            if (IsImportingGraph)
             {
                 // download graph meta data
                 string url = "https://raw.githubusercontent.com/SciSharp/TensorFlow.NET/master/graph/xor.meta";
                 Web.Download(url, "graph", "xor.meta");
             }
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/BasicOperations.cs

@@ -14,10 +14,8 @@ namespace TensorFlowNET.Examples
     public class BasicOperations : IExample
     {
         public bool Enabled { get; set; } = true;
-        public int Priority => 2;
         public string Name => "Basic Operations";
-        public bool ImportGraph { get; set; } = false;
-
+        public bool IsImportingGraph { get; set; } = false;
 
         private Session sess;
 
@@ -104,5 +102,25 @@ namespace TensorFlowNET.Examples
         public void PrepareData()
         {
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/HelloWorld.cs

@@ -12,11 +12,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class HelloWorld : IExample
     {
-        public int Priority => 1;
         public bool Enabled { get; set; } = true;
         public string Name => "Hello World";
-        public bool ImportGraph { get; set; } = false;
-
+        public bool IsImportingGraph { get; set; } = false;
 
         public bool Run()
         {
@@ -41,5 +39,25 @@ namespace TensorFlowNET.Examples
         public void PrepareData()
         {
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/IExample.cs

@@ -1,7 +1,8 @@
 using System;
 using System.Collections.Generic;
 using System.Text;
-
+using Tensorflow;
+
 namespace TensorFlowNET.Examples
 {
     /// <summary>
@@ -10,11 +11,6 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public interface IExample
     {
-        /// <summary>
-        /// running order
-        /// </summary>
-        int Priority { get; }
-
         /// <summary>
         /// True to run example
         /// </summary>
@@ -23,15 +19,24 @@ namespace TensorFlowNET.Examples
         /// <summary>
         /// Set true to import the computation graph instead of building it.
         /// </summary>
-        bool ImportGraph { get; set; }
+        bool IsImportingGraph { get; set; }
 
         string Name { get; }
 
+        bool Run();
+
         /// <summary>
         /// Build dataflow graph, train and predict
         /// </summary>
         /// <returns></returns>
-        bool Run();
+        bool Train();
+
+        bool Predict();
+
+        Graph ImportGraph();
+
+        Graph BuildGraph();
+
         /// <summary>
         /// Prepare dataset
         /// </summary>

test/TensorFlowNET.Examples/ImageProcess/ImageBackgroundRemoval.cs

@@ -15,10 +15,8 @@ namespace TensorFlowNET.Examples.ImageProcess
     /// </summary>
     public class ImageBackgroundRemoval : IExample
     {
-        public int Priority => 15;
-
         public bool Enabled { get; set; } = true;
-        public bool ImportGraph { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = true;
 
         public string Name => "Image Background Removal";
 
@@ -59,5 +57,25 @@ namespace TensorFlowNET.Examples.ImageProcess
             Web.Download(url, modelDir, fileName);
             Compress.ExtractTGZ(Path.Join(modelDir, fileName), modelDir);*/
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/ImageProcess/ImageRecognitionInception.cs

@@ -20,10 +20,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class ImageRecognitionInception : IExample
     {
-        public int Priority => 7;
         public bool Enabled { get; set; } = true;
         public string Name => "Image Recognition Inception";
-        public bool ImportGraph { get; set; } = false;
+        public bool IsImportingGraph { get; set; } = false;
 
 
         string dir = "ImageRecognitionInception";
@@ -115,5 +114,25 @@ namespace TensorFlowNET.Examples
                 file_ndarrays.Add(nd);
             }
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/ImageProcess/InceptionArchGoogLeNet.cs

@@ -21,9 +21,8 @@ namespace TensorFlowNET.Examples
     public class InceptionArchGoogLeNet : IExample
     {
         public bool Enabled { get; set; } = false;
-        public int Priority => 100;
         public string Name => "Inception Arch GoogLeNet";
-        public bool ImportGraph { get; set; } = false;
+        public bool IsImportingGraph { get; set; } = false;
 
 
         string dir = "label_image_data";
@@ -108,5 +107,25 @@ namespace TensorFlowNET.Examples
             url = $"https://raw.githubusercontent.com/tensorflow/tensorflow/master/tensorflow/examples/label_image/data/{pic}";
             Utility.Web.Download(url, dir, pic);
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/ImageProcess/ObjectDetection.cs

@@ -16,10 +16,9 @@ namespace TensorFlowNET.Examples
 
     public class ObjectDetection : IExample
     {
-        public int Priority => 11;
         public bool Enabled { get; set; } = true;
         public string Name => "Object Detection";
-        public bool ImportGraph { get; set; } = false;
+        public bool IsImportingGraph { get; set; } = false;
 
         public float MIN_SCORE = 0.5f;
 
@@ -145,5 +144,25 @@ namespace TensorFlowNET.Examples
                 }
             }
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/ImageProcess/RetrainImageClassifier.cs

@@ -26,7 +26,7 @@ namespace TensorFlowNET.Examples.ImageProcess
         public int Priority => 16;
 
         public bool Enabled { get; set; } = true;
-        public bool ImportGraph { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = true;
 
         public string Name => "Retrain Image Classifier";
 
@@ -667,5 +667,25 @@ namespace TensorFlowNET.Examples.ImageProcess
 
             return result;
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/Program.cs

@@ -19,7 +19,6 @@ namespace TensorFlowNET.Examples
             var examples = Assembly.GetEntryAssembly().GetTypes()
                 .Where(x => x.GetInterfaces().Contains(typeof(IExample)))
                 .Select(x => (IExample)Activator.CreateInstance(x))
-                .OrderBy(x => x.Priority)
                 .ToArray();
 
             Console.WriteLine($"TensorFlow v{tf.VERSION}", Color.Yellow);
@@ -42,18 +41,18 @@ namespace TensorFlowNET.Examples
                         sw.Stop();
 
                         if (isSuccess)
-                            success.Add($"Example {example.Priority}: {example.Name} in {sw.Elapsed.TotalSeconds}s");
+                            success.Add($"Example: {example.Name} in {sw.Elapsed.TotalSeconds}s");
                         else
-                            errors.Add($"Example {example.Priority}: {example.Name} in {sw.Elapsed.TotalSeconds}s");
+                            errors.Add($"Example: {example.Name} in {sw.Elapsed.TotalSeconds}s");
                     }
                     else
                     {
-                        disabled.Add($"Example {example.Priority}: {example.Name} in {sw.ElapsedMilliseconds}ms");
+                        disabled.Add($"Example: {example.Name} in {sw.ElapsedMilliseconds}ms");
                     }
                 }
                 catch (Exception ex)
                 {
-                    errors.Add($"Example {example.Priority}: {example.Name}");
+                    errors.Add($"Example: {example.Name}");
                     Console.WriteLine(ex);
                 }
                 

test/TensorFlowNET.Examples/TextProcess/BinaryTextClassification.cs

@@ -17,10 +17,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class BinaryTextClassification : IExample
     {
-        public int Priority => 9;
         public bool Enabled { get; set; } = true;
         public string Name => "Binary Text Classification";
-        public bool ImportGraph { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = true;
 
         string dir = "binary_text_classification";
         string dataFile = "imdb.zip";
@@ -138,5 +137,25 @@ namespace TensorFlowNET.Examples
 
             return result;
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/TextProcess/CnnTextClassification.cs

@@ -21,11 +21,10 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class CnnTextClassification : IExample
     {
-        public int Priority => 17;
         public bool Enabled { get; set; } = true;
         public string Name => "CNN Text Classification";
         public int? DataLimit = null;
-        public bool ImportGraph { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = false;
 
         private string dataDir = "word_cnn";
         private string dataFileName = "dbpedia_csv.tar.gz";
@@ -49,7 +48,7 @@ namespace TensorFlowNET.Examples
             var graph = tf.Graph().as_default();
             return with(tf.Session(graph), sess =>
             {
-                if (ImportGraph)
+                if (IsImportingGraph)
                     return RunWithImportedGraph(sess, graph);
                 else
                     return RunWithBuiltGraph(sess, graph);
@@ -222,7 +221,7 @@ namespace TensorFlowNET.Examples
             Web.Download(url, dataDir, "dbpedia_subset.zip");
             Compress.UnZip(Path.Combine(dataDir, "dbpedia_subset.zip"), Path.Combine(dataDir, "dbpedia_csv"));
 
-            if (ImportGraph)
+            if (IsImportingGraph)
             {
                 // download graph meta data
                 var meta_file = "word_cnn.meta";
@@ -237,5 +236,25 @@ namespace TensorFlowNET.Examples
                 Web.Download(url, "graph", meta_file);
             }
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/TextProcess/NER/BiLstmCrfNer.cs

@@ -14,10 +14,8 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class BiLstmCrfNer : IExample
     {
-        public int Priority => 101;
-
         public bool Enabled { get; set; } = true;
-        public bool ImportGraph { get; set; } = false;
+        public bool IsImportingGraph { get; set; } = false;
 
         public string Name => "bi-LSTM + CRF NER";
 
@@ -35,5 +33,25 @@ namespace TensorFlowNET.Examples
             hp.filepath_tags = Path.Combine(hp.data_root_dir, "vocab.tags.txt");
             hp.filepath_glove = Path.Combine(hp.data_root_dir, "glove.npz");
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/TextProcess/NER/CRF.cs

@@ -15,10 +15,8 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class CRF : IExample
     {
-        public int Priority => 13;
-
         public bool Enabled { get; set; } = true;
-        public bool ImportGraph { get; set; } = false;
+        public bool IsImportingGraph { get; set; } = false;
 
         public string Name => "CRF";
 
@@ -31,5 +29,25 @@ namespace TensorFlowNET.Examples
         {
 
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/TextProcess/NER/LstmCrfNer.cs

@@ -20,10 +20,8 @@ namespace TensorFlowNET.Examples.Text.NER
     /// </summary>
     public class LstmCrfNer : IExample
     {
-        public int Priority => 14;
-
         public bool Enabled { get; set; } = true;
-        public bool ImportGraph { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = true;
 
         public string Name => "LSTM + CRF NER";
 
@@ -208,5 +206,25 @@ namespace TensorFlowNET.Examples.Text.NER
             Web.Download(url, "graph", meta_file);
 
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/TextProcess/NamedEntityRecognition.cs

@@ -11,13 +11,12 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class NamedEntityRecognition : IExample
     {
-        public int Priority => 100;
         public bool Enabled { get; set; } = false;
         public string Name => "NER";
-        public bool ImportGraph { get; set; } = false;
+        public bool IsImportingGraph { get; set; } = false;
 
 
-        public bool Run()
+        public bool Train()
         {
             throw new NotImplementedException();
         }
@@ -26,5 +25,25 @@ namespace TensorFlowNET.Examples
         {
             throw new NotImplementedException();
         }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Run()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/TextProcess/TextClassificationTrain.cs

@@ -21,11 +21,10 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class TextClassificationTrain : IExample
     {
-        public int Priority => 100;
         public bool Enabled { get; set; } = false;
         public string Name => "Text Classification";
         public int? DataLimit = null;
-        public bool ImportGraph { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = true;
         public bool UseSubset = false; // <----- set this true to use a limited subset of dbpedia
 
         private string dataDir = "text_classification";
@@ -51,7 +50,7 @@ namespace TensorFlowNET.Examples
             var graph = tf.Graph().as_default();
             return with(tf.Session(graph), sess =>
             {
-                if (ImportGraph)
+                if (IsImportingGraph)
                     return RunWithImportedGraph(sess, graph);
                 else
                     return RunWithBuiltGraph(sess, graph);
@@ -255,7 +254,7 @@ namespace TensorFlowNET.Examples
                 Compress.ExtractTGZ(Path.Join(dataDir, dataFileName), dataDir);
             }
 
-            if (ImportGraph)
+            if (IsImportingGraph)
             {
                 // download graph meta data
                 var meta_file = model_name + ".meta";
@@ -269,6 +268,26 @@ namespace TensorFlowNET.Examples
                 var url = "https://raw.githubusercontent.com/SciSharp/TensorFlow.NET/master/graph/" + meta_file;
                 Web.Download(url, "graph", meta_file);
             }
-        }
+        }
+
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
     }
 }

test/TensorFlowNET.Examples/TextProcess/Word2Vec.cs

@@ -16,10 +16,9 @@ namespace TensorFlowNET.Examples
     /// </summary>
     public class Word2Vec : IExample
     {
-        public int Priority => 12;
         public bool Enabled { get; set; } = true;
         public string Name => "Word2Vec";
-        public bool ImportGraph { get; set; } = true;
+        public bool IsImportingGraph { get; set; } = true;
 
         // Training Parameters
         float learning_rate = 0.1f;
@@ -205,6 +204,26 @@ namespace TensorFlowNET.Examples
             print($"Most common words: {string.Join(", ", word2id.Take(10))}");
         }
 
+        public Graph ImportGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public Graph BuildGraph()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Train()
+        {
+            throw new NotImplementedException();
+        }
+
+        public bool Predict()
+        {
+            throw new NotImplementedException();
+        }
+
         private class WordId
         {
             public string Word { get; set; }

test/TensorFlowNET.UnitTest/ExamplesTests/ExamplesTest.cs

@@ -14,21 +14,21 @@ namespace TensorFlowNET.ExamplesTests
         public void BasicOperations()
         {
             tf.Graph().as_default();
-            new BasicOperations() { Enabled = true }.Run();
+            new BasicOperations() { Enabled = true }.Train();
         }
 
         [TestMethod]
         public void HelloWorld()
         {
             tf.Graph().as_default();
-            new HelloWorld() { Enabled = true }.Run();
+            new HelloWorld() { Enabled = true }.Train();
         }
 
         [TestMethod]
         public void ImageRecognition()
         {
             tf.Graph().as_default();
-            new HelloWorld() { Enabled = true }.Run();
+            new HelloWorld() { Enabled = true }.Train();
         }
 
         [Ignore]
@@ -36,28 +36,28 @@ namespace TensorFlowNET.ExamplesTests
         public void InceptionArchGoogLeNet()
         {
             tf.Graph().as_default();
-            new InceptionArchGoogLeNet() { Enabled = true }.Run();
+            new InceptionArchGoogLeNet() { Enabled = true }.Train();
         }
 
         [TestMethod]
         public void KMeansClustering()
         {
             tf.Graph().as_default();
-            new KMeansClustering() { Enabled = true, ImportGraph = true, train_size = 500, validation_size = 100, test_size = 100, batch_size =100 }.Run();
+            new KMeansClustering() { Enabled = true, IsImportingGraph = true, train_size = 500, validation_size = 100, test_size = 100, batch_size =100 }.Train();
         }
 
         [TestMethod]
         public void LinearRegression()
         {
             tf.Graph().as_default();
-            new LinearRegression() { Enabled = true }.Run();
+            new LinearRegression() { Enabled = true }.Train();
         }
 
         [TestMethod]
         public void LogisticRegression()
         {
             tf.Graph().as_default();
-            new LogisticRegression() { Enabled = true, training_epochs=10, train_size = 500, validation_size = 100, test_size = 100 }.Run();
+            new LogisticRegression() { Enabled = true, training_epochs=10, train_size = 500, validation_size = 100, test_size = 100 }.Train();
         }
 
         [Ignore]
@@ -65,7 +65,7 @@ namespace TensorFlowNET.ExamplesTests
         public void NaiveBayesClassifier()
         {
             tf.Graph().as_default();
-            new NaiveBayesClassifier() { Enabled = false }.Run();
+            new NaiveBayesClassifier() { Enabled = false }.Train();
         }
 
         [Ignore]
@@ -73,14 +73,14 @@ namespace TensorFlowNET.ExamplesTests
         public void NamedEntityRecognition()
         {
             tf.Graph().as_default();
-            new NamedEntityRecognition() { Enabled = true }.Run();
+            new NamedEntityRecognition() { Enabled = true }.Train();
         }
 
         [TestMethod]
         public void NearestNeighbor()
         {
             tf.Graph().as_default();
-            new NearestNeighbor() { Enabled = true, TrainSize = 500, ValidationSize = 100, TestSize = 100 }.Run();
+            new NearestNeighbor() { Enabled = true, TrainSize = 500, ValidationSize = 100, TestSize = 100 }.Train();
         }
 
         [Ignore]
@@ -88,7 +88,7 @@ namespace TensorFlowNET.ExamplesTests
         public void TextClassificationTrain()
         {
             tf.Graph().as_default();
-            new TextClassificationTrain() { Enabled = true, DataLimit=100 }.Run();
+            new TextClassificationTrain() { Enabled = true, DataLimit=100 }.Train();
         }
 
         [Ignore]
@@ -96,21 +96,21 @@ namespace TensorFlowNET.ExamplesTests
         public void TextClassificationWithMovieReviews()
         {
             tf.Graph().as_default();
-            new BinaryTextClassification() { Enabled = true }.Run();
+            new BinaryTextClassification() { Enabled = true }.Train();
         }
 
         [TestMethod]
         public void NeuralNetXor()
         {
             tf.Graph().as_default();
-            Assert.IsTrue(new NeuralNetXor() { Enabled = true, ImportGraph = false }.Run());
+            Assert.IsTrue(new NeuralNetXor() { Enabled = true, IsImportingGraph = false }.Train());
         }
 
         [TestMethod]
         public void NeuralNetXor_ImportedGraph()
         {
             tf.Graph().as_default();
-            Assert.IsTrue(new NeuralNetXor() { Enabled = true, ImportGraph = true }.Run());
+            Assert.IsTrue(new NeuralNetXor() { Enabled = true, IsImportingGraph = true }.Train());
         }
 
 
@@ -118,7 +118,7 @@ namespace TensorFlowNET.ExamplesTests
         public void ObjectDetection()
         {
             tf.Graph().as_default();
-            Assert.IsTrue(new ObjectDetection() { Enabled = true, ImportGraph = true }.Run());
+            Assert.IsTrue(new ObjectDetection() { Enabled = true, IsImportingGraph = true }.Train());
         }
     }
 }