taking care of review comments

Author: abgoswam

src/Microsoft.ML.Transforms/Text/TextFeaturizingEstimator.cs

@@ -111,7 +111,7 @@ public sealed class Options : TransformInputBase
             [Argument(ArgumentType.AtMostOnce, HelpText = "Whether to keep numbers or remove them.", ShortName = "num", SortOrder = 8)]
             public bool KeepNumbers = TextNormalizingEstimator.Defaults.KeepNumbers;
 
-            [Argument(ArgumentType.AtMostOnce, HelpText = "Column containing the transformed text tokens.", ShortName = "OutputTokens,tokens,showtext,showTransformedText", SortOrder = 9)]
+            [Argument(ArgumentType.AtMostOnce, HelpText = "Column containing the transformed text tokens.", ShortName = "tokens,showtext,showTransformedText", SortOrder = 9)]
             public string OutputTokensColumnName;
 
             [Argument(ArgumentType.Multiple, HelpText = "A dictionary of whitelisted terms.", ShortName = "dict", NullName = "<None>", SortOrder = 10, Hide = true)]

test/BaselineOutput/Common/EntryPoints/core_manifest.json

@@ -22440,7 +22440,6 @@
           "Type": "String",
           "Desc": "Column containing the transformed text tokens.",
           "Aliases": [
-            "OutputTokens",
             "tokens",
             "showtext",
             "showTransformedText"

test/BaselineOutput/SingleDebug/Text/featurized.tsv

@@ -43,7 +43,7 @@ public void TextFeaturizerWorkout()
                 .AsDynamic;
 
             var feat = data.MakeNewEstimator()
-                 .Append(row => row.text.FeaturizeText(options: new TextFeaturizingEstimator.Options { OutputTokensColumnName = "Data_TransformedText", }));
+                 .Append(row => row.text.FeaturizeText(options: new TextFeaturizingEstimator.Options { OutputTokensColumnName = "OutputTokens", }));
 
             TestEstimatorCore(feat.AsDynamic, data.AsDynamic, invalidInput: invalidData);
 
@@ -52,7 +52,7 @@ public void TextFeaturizerWorkout()
             {
                 var saver = new TextSaver(ML, new TextSaver.Arguments { Silent = true });
                 var savedData = ML.Data.TakeRows(feat.Fit(data).Transform(data).AsDynamic, 4);
-                savedData = ML.Transforms.SelectColumns("Data", "Data_TransformedText").Fit(savedData).Transform(savedData);
+                savedData = ML.Transforms.SelectColumns("Data", "OutputTokens").Fit(savedData).Transform(savedData);
 
                 using (var fs = File.Create(outputPath))
                     DataSaverUtils.SaveDataView(ch, saver, savedData, fs, keepHidden: true);