Fix build error after rebase

Author: yaeldMS

docs/samples/Microsoft.ML.Samples/Dynamic/TensorFlow/TextClassification.cs

@@ -68,7 +68,7 @@ public static void Example()
                 j.Features = features;
             };
 
-            var model = mlContext.Transforms.Text.TokenizeWords("TokenizedWords", "Sentiment_Text")
+            var model = mlContext.Transforms.Text.TokenizeIntoWords("TokenizedWords", "Sentiment_Text")
                 .Append(mlContext.Transforms.Conversion.MapValue(lookupMap, "Words", "Ids", new ColumnOptions[] { ("VariableLenghtFeatures", "TokenizedWords") }))
                 .Append(mlContext.Transforms.CustomMapping(ResizeFeaturesAction, "Resize"))
                 .Append(tensorFlowModel.ScoreTensorFlowModel(new[] { "Prediction/Softmax" }, new[] { "Features" }))

test/Microsoft.ML.Tests/ScenariosWithDirectInstantiation/TensorflowTests.cs

@@ -999,7 +999,7 @@ public void TensorFlowSentimentClassificationTest()
             // The first pipeline 'dataPipe' tokenzies the string into words and maps each word to an integer which is an index in the dictionary.
             // Then this integer vector is retrieved from the pipeline and resized to fixed length.
             // The second pipeline 'tfEnginePipe' takes the resized integer vector and passes it to TensoFlow and gets the classification scores.
-            var estimator = mlContext.Transforms.Text.TokenizeWords("TokenizedWords", "Sentiment_Text")
+            var estimator = mlContext.Transforms.Text.TokenizeIntoWords("TokenizedWords", "Sentiment_Text")
                 .Append(mlContext.Transforms.Conversion.MapValue(lookupMap, "Words", "Ids", new ColumnOptions[] { ("Features", "TokenizedWords") }));
             var model = estimator.Fit(dataView);
             var dataPipe = mlContext.Model.CreatePredictionEngine<TensorFlowSentiment, TensorFlowSentiment>(model);