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Refactoring related to namespaces and public input/output classes. (dotnet#3222)
1 parent d5128a1 commit bbf2eab

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+51
-48
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‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyCustomWordEmbedding.cs

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@@ -1,9 +1,9 @@
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using System;
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using System.Collections.Generic;
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using System.IO;
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using System.Text;
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using Microsoft.ML;
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namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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public static class ApplyCustomWordEmbedding
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{
@@ -67,12 +67,12 @@ public static void Example()
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// Features: -1.0000 0.0000 -100.0000 0.0000 34.0000 -25.6667 1.0000 100.0000 20.0000
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}
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public class TextData
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private class TextData
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{
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public string Text { get; set; }
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}
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public class TransformedTextData : TextData
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private class TransformedTextData : TextData
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{
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public float[] Features { get; set; }
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}

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyWordEmbedding.cs

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using System;
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using System.Collections.Generic;
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using System.Text;
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using Microsoft.ML;
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using Microsoft.ML.Transforms.Text;
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namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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public static class ApplyWordEmbedding
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{
@@ -29,8 +30,8 @@ public static void Example()
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// The pipeline first normalizes and tokenizes text then applies word embedding transformation.
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var textPipeline = mlContext.Transforms.Text.NormalizeText("Text")
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.Append(mlContext.Transforms.Text.TokenizeIntoWords("Tokens", "Text"))
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.Append(mlContext.Transforms.Text.ApplyWordEmbedding("Features", "Tokens",
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Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind.SentimentSpecificWordEmbedding));
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.Append(mlContext.Transforms.Text.ApplyWordEmbedding("Features", "Tokens",
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WordEmbeddingEstimator.PretrainedModelKind.SentimentSpecificWordEmbedding));
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// Fit to data.
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var textTransformer = textPipeline.Fit(emptyDataView);
@@ -55,12 +56,12 @@ public static void Example()
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// Features: -1.2489 0.2384 -1.3034 -0.9135 -3.4978 -0.1784 -1.3823 -0.3863 -2.5262 -0.8950 ...
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}
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public class TextData
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private class TextData
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{
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public string Text { get; set; }
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}
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public class TransformedTextData : TextData
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private class TransformedTextData : TextData
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{
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public float[] Features { get; set; }
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}

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/FeaturizeText.cs

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using System;
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using System.Collections.Generic;
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using Microsoft.ML.Data;
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using Microsoft.ML;
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namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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public static class FeaturizeText
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{
@@ -60,12 +60,12 @@ public static void Example()
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// Features: 0.0857 0.0857 0.0857 0.0857 0.0857 0.0857 0.0857 0.0857 0.0857 0.1715 ...
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}
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public class TextData
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private class TextData
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{
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public string Text { get; set; }
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}
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public class TransformedTextData : TextData
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private class TransformedTextData : TextData
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{
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public float[] Features { get; set; }
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}

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/FeaturizeTextWithOptions.cs

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using System;
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using System.Collections.Generic;
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using Microsoft.ML.Data;
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using Microsoft.ML;
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using Microsoft.ML.Transforms.Text;
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namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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public static class FeaturizeTextWithOptions
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{
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// Tokens: ml.net's,featurizetext,api,uses,composition,basic,transforms,convert,text,numeric,features.
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}
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public class TextData
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private class TextData
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{
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public string Text { get; set; }
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}
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public class TransformedTextData : TextData
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private class TransformedTextData : TextData
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{
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public float[] Features { get; set; }
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public string[] OutputTokens { get; set; }

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/LatentDirichletAllocation.cs

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using System;
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using System.Collections.Generic;
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using Microsoft.ML.Data;
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using Microsoft.ML;
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namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
66
{
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public static class LatentDirichletAllocation
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{

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/NormalizeText.cs

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using System;
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using System.Collections.Generic;
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using System.Text;
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using Microsoft.ML;
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using Microsoft.ML.Transforms.Text;
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namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
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{
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public static class NormalizeText
89
{
@@ -22,7 +23,7 @@ public static void Example()
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// A pipeline for normalizing text.
2425
var normTextPipeline = mlContext.Transforms.Text.NormalizeText("NormalizedText", "Text",
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Transforms.Text.TextNormalizingEstimator.CaseMode.Lower,
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TextNormalizingEstimator.CaseMode.Lower,
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keepDiacritics: false,
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keepPunctuations: false,
2829
keepNumbers: false);
@@ -44,12 +45,12 @@ public static void Example()
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// Normalized Text: mlnets normalizetext api changes the case of the text and removeskeeps diacritics punctuations andor numbers
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}
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public class TextData
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private class TextData
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{
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public string Text { get; set; }
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}
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public class TransformedTextData : TextData
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private class TransformedTextData : TextData
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{
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public string NormalizedText { get; set; }
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}

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ProduceHashedNgrams.cs

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using System;
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using System.Collections.Generic;
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using Microsoft.ML;
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using Microsoft.ML.Data;
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using Microsoft.ML.Transforms.Text;
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namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
77
{
88
public static class ProduceHashedNgrams
99
{

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ProduceHashedWordBags.cs

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using System;
22
using System.Collections.Generic;
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using System.Text;
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using Microsoft.ML;
44
using Microsoft.ML.Data;
5-
using Microsoft.ML.Transforms.Text;
65

7-
namespace Microsoft.ML.Samples.Dynamic
6+
namespace Samples.Dynamic
87
{
98
public static class ProduceHashedWordBags
109
{

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ProduceNgrams.cs

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using System;
22
using System.Collections.Generic;
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using Microsoft.ML;
34
using Microsoft.ML.Data;
45
using Microsoft.ML.Transforms.Text;
56

6-
namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
78
{
89
public static class ProduceNgrams
910
{

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ProduceWordBags.cs

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using System;
22
using System.Collections.Generic;
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using System.Text;
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using Microsoft.ML;
44
using Microsoft.ML.Data;
55
using Microsoft.ML.Transforms.Text;
66

7-
namespace Microsoft.ML.Samples.Dynamic
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namespace Samples.Dynamic
88
{
99
public static class ProduceWordBags
1010
{

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveDefaultStopWords.cs

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using System;
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using System.Collections.Generic;
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using Microsoft.ML;
34
using Microsoft.ML.Transforms.Text;
45

5-
namespace Microsoft.ML.Samples.Dynamic
6+
namespace Samples.Dynamic
67
{
78
public static class RemoveDefaultStopWords
89
{
@@ -47,12 +48,12 @@ public static void Example()
4748
// Words without stop words: ML.NET's,RemoveDefaultStopWords,API,removes,stop,words,text/string.,requires,text/string,tokenized,beforehand.
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}
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50-
public class TextData
51+
private class TextData
5152
{
5253
public string Text { get; set; }
5354
}
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55-
public class TransformedTextData : TextData
56+
private class TransformedTextData : TextData
5657
{
5758
public string[] WordsWithoutStopWords { get; set; }
5859
}

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveStopWords.cs

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using System;
22
using System.Collections.Generic;
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using Microsoft.ML.Transforms.Text;
3+
using Microsoft.ML;
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5-
namespace Microsoft.ML.Samples.Dynamic
5+
namespace Samples.Dynamic
66
{
77
public static class RemoveStopWords
88
{
@@ -47,12 +47,12 @@ public static void Example()
4747
// Words without stop words: ML.NET's,RemoveStopWords,API,removes,stop,words,text/string,using,list,of,stop,words,provided,user.
4848
}
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50-
public class TextData
50+
private class TextData
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{
5252
public string Text { get; set; }
5353
}
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55-
public class TransformedTextData : TextData
55+
private class TransformedTextData : TextData
5656
{
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public string[] WordsWithoutStopWords { get; set; }
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}

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/TokenizeIntoCharactersAsKeys.cs

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11
using System;
22
using System.Collections.Generic;
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using System.Text;
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using Microsoft.ML;
44

5-
namespace Microsoft.ML.Samples.Dynamic
5+
namespace Samples.Dynamic
66
{
77
public static class TokenizeIntoCharactersAsKeys
88
{
@@ -50,12 +50,12 @@ public static void Example()
5050
// <?>: is a unicode control character used instead of spaces ('\u2400').
5151
}
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53-
public class TextData
53+
private class TextData
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{
5555
public string Text { get; set; }
5656
}
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58-
public class TransformedTextData : TextData
58+
private class TransformedTextData : TextData
5959
{
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public string[] CharTokens { get; set; }
6161
}

‎docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/TokenizeIntoWords.cs

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using System;
22
using System.Collections.Generic;
3-
using System.Text;
3+
using Microsoft.ML;
44

5-
namespace Microsoft.ML.Samples.Dynamic
5+
namespace Samples.Dynamic
66
{
77
public static class TokenizeIntoWords
88
{
@@ -46,12 +46,12 @@ public static void Example()
4646
// Words: ML.NET's,TokenizeIntoWords,API,splits,text/string,into,words,using,the,list,of,characters,provided,as,separators.
4747
}
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49-
public class TextData
49+
private class TextData
5050
{
5151
public string Text { get; set; }
5252
}
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54-
public class TransformedTextData : TextData
54+
private class TransformedTextData : TextData
5555
{
5656
public string[] Words { get; set; }
5757
}

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