Created samples for TokenizeIntoWords and RemoveStopWords APIs. - #3156

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zeahmed merged 8 commits into
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zeahmed:TokenizeIntoWords
Apr 2, 2019
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Created samples for TokenizeIntoWords and RemoveStopWords APIs.#3156
zeahmed merged 8 commits into
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zeahmed:TokenizeIntoWords

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Related to #1209.

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Codecov Report

Merging #3156 into master will increase coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3156 +/- ##
==========================================
+ Coverage 72.53% 72.53% +<.01% 
==========================================
Files 808 807 -1 Lines 144775 144774 -1 Branches 16209 16208 -1 ==========================================
+ Hits 105012 105018 +6 + Misses 35348 35341 -7 
Partials 4415 4415
FlagCoverage Δ
#Debug72.53% <ø> (ø)⬆️
#production68.12% <ø> (ø)⬆️
#test88.82% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.Transforms/Text/TextCatalog.cs41.66% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️
src/Microsoft.ML.Data/Transforms/Normalizer.cs86.03% <0%> (ø)⬆️
...icrosoft.ML.Functional.Tests/DataTransformation.cs100% <0%> (ø)⬆️
...s/Api/CookbookSamples/CookbookSamplesDynamicApi.cs93.49% <0%> (ø)⬆️
...s/Scenarios/Api/CookbookSamples/CookbookSamples.cs99.49% <0%> (ø)⬆️
test/Microsoft.ML.Functional.Tests/Training.cs100% <0%> (ø)⬆️
...est/Microsoft.ML.Tests/FeatureContributionTests.cs98.55% <0%> (ø)⬆️
...oft.ML.Experimental/TransformsCatalogExtensions.cs
...c/Microsoft.ML.FastTree/Utils/ThreadTaskManager.cs100% <0%> (+20.51%)⬆️
... and 1 more

@sfilipi
sfilipi requested a review from natkeApril 1, 2019 21:09
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as
// the estimator ('StopWordsRemovingEstimator') created by 'RemoveDefaultStopWords' API is not a trainable estimator.

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StopWordsRemovingEstimator [](start = 31, length = 26)

any reason why you prefer this format other than <see cref="StopWordsRemovingEstimator"> ? #Pending

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I doubt if it works in normal comments. works in xml comments.


In reply to: 271080226 [](ancestors = 271080226)

// as well as the source of randomness.
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as

@rogancarrrogancarrApr 1, 2019

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data sample list. [](start = 30, length = 18)

Create an empty list as the dataset. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for converting text into vector of words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text", separators: new[] { ' ' });

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separators: new[] { ' ' } [](start = 92, length = 25)

Can you add details about what to expect here with default values? One thing we may want to mention is removing any whitespace. #Resolved

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Approved with comments.

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:shipit:

/// <![CDATA[
/// [!code-csharp[FastTree](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/StopWordRemoverTransform.cs)]
/// ]]></format>
/// [!code-csharp[RemoveStopWords](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveDefaultStopWords.cs)]

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RemoveStopWords [](start = 26, length = 15)

RemoveDefaultStopWords
not sure is it important or not #Resolved

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text")
.Append(mlContext.Transforms.Text.RemoveStopWords("WordsWithoutStopWords", "Words", stopwords: new[] { "a", "the", "from", "by" }));

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from [](start = 132, length = 4)

I would throw few words regarding casing.
imaging you have string "Something CoOl here" and you have stop word remover with "cool", would it remove it? Would it preserve it?
It's a mystery now, but you can show how it works in this sample. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.

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removes [](start = 65, length = 7)

shall we add link to list of stop words?
https://github.com/dotnet/machinelearning/blob/master/src/Microsoft.ML.Transforms/Text/StopWords/English.txt this one is for english. #Resolved

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also if you can modify string to include "tHe" or something like that and show it was removed (because we compare by ignoring casing (I hope so) would be nice.


In reply to: 271477611 [](ancestors = 271477611)

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I think the link should go into the documentation instead of sample.


In reply to: 271478137 [](ancestors = 271478137,271477611)

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 var data = new TextData() { Text = "This is a great product. I would like to buy it again." };

It's me, your friendly casing neighbor.
In my example you can saw what xbox got treated even if we specify XBOX in file.


Refers to: docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyCustomWordEmbedding.cs:54 in 1bc241d. [](commit_id = 1bc241d, deletion_comment = False)

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zeahmed merged commit 950f133 into dotnet:masterApr 2, 2019
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zeahmed added a commit to zeahmed/machinelearning that referenced this pull request Apr 8, 2019
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Created samples for TokenizeIntoWords and RemoveStopWords APIs. - #3156

Merged
zeahmed merged 8 commits into
dotnet:masterfrom
zeahmed:TokenizeIntoWords
Apr 2, 2019
Merged

Created samples for TokenizeIntoWords and RemoveStopWords APIs.#3156
zeahmed merged 8 commits into
dotnet:masterfrom
zeahmed:TokenizeIntoWords

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Related to #1209.

@codecov

codecovBot commented Apr 1, 2019

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Codecov Report

Merging #3156 into master will increase coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3156 +/- ##
==========================================
+ Coverage 72.53% 72.53% +<.01% 
==========================================
Files 808 807 -1 Lines 144775 144774 -1 Branches 16209 16208 -1 ==========================================
+ Hits 105012 105018 +6 + Misses 35348 35341 -7 
Partials 4415 4415
FlagCoverage Δ
#Debug72.53% <ø> (ø)⬆️
#production68.12% <ø> (ø)⬆️
#test88.82% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.Transforms/Text/TextCatalog.cs41.66% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️
src/Microsoft.ML.Data/Transforms/Normalizer.cs86.03% <0%> (ø)⬆️
...icrosoft.ML.Functional.Tests/DataTransformation.cs100% <0%> (ø)⬆️
...s/Api/CookbookSamples/CookbookSamplesDynamicApi.cs93.49% <0%> (ø)⬆️
...s/Scenarios/Api/CookbookSamples/CookbookSamples.cs99.49% <0%> (ø)⬆️
test/Microsoft.ML.Functional.Tests/Training.cs100% <0%> (ø)⬆️
...est/Microsoft.ML.Tests/FeatureContributionTests.cs98.55% <0%> (ø)⬆️
...oft.ML.Experimental/TransformsCatalogExtensions.cs
...c/Microsoft.ML.FastTree/Utils/ThreadTaskManager.cs100% <0%> (+20.51%)⬆️
... and 1 more

@sfilipi
sfilipi requested a review from natkeApril 1, 2019 21:09
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as
// the estimator ('StopWordsRemovingEstimator') created by 'RemoveDefaultStopWords' API is not a trainable estimator.

@Ivanidzo4kaIvanidzo4kaApr 1, 2019

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StopWordsRemovingEstimator [](start = 31, length = 26)

any reason why you prefer this format other than <see cref="StopWordsRemovingEstimator"> ? #Pending

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I doubt if it works in normal comments. works in xml comments.


In reply to: 271080226 [](ancestors = 271080226)

// as well as the source of randomness.
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as

@rogancarrrogancarrApr 1, 2019

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data sample list. [](start = 30, length = 18)

Create an empty list as the dataset. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for converting text into vector of words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text", separators: new[] { ' ' });

@rogancarrrogancarrApr 1, 2019

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separators: new[] { ' ' } [](start = 92, length = 25)

Can you add details about what to expect here with default values? One thing we may want to mention is removing any whitespace. #Resolved

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Approved with comments.

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:shipit:

/// <![CDATA[
/// [!code-csharp[FastTree](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/StopWordRemoverTransform.cs)]
/// ]]></format>
/// [!code-csharp[RemoveStopWords](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveDefaultStopWords.cs)]

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RemoveStopWords [](start = 26, length = 15)

RemoveDefaultStopWords
not sure is it important or not #Resolved

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text")
.Append(mlContext.Transforms.Text.RemoveStopWords("WordsWithoutStopWords", "Words", stopwords: new[] { "a", "the", "from", "by" }));

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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from [](start = 132, length = 4)

I would throw few words regarding casing.
imaging you have string "Something CoOl here" and you have stop word remover with "cool", would it remove it? Would it preserve it?
It's a mystery now, but you can show how it works in this sample. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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removes [](start = 65, length = 7)

shall we add link to list of stop words?
https://github.com/dotnet/machinelearning/blob/master/src/Microsoft.ML.Transforms/Text/StopWords/English.txt this one is for english. #Resolved

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also if you can modify string to include "tHe" or something like that and show it was removed (because we compare by ignoring casing (I hope so) would be nice.


In reply to: 271477611 [](ancestors = 271477611)

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I think the link should go into the documentation instead of sample.


In reply to: 271478137 [](ancestors = 271478137,271477611)

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 var data = new TextData() { Text = "This is a great product. I would like to buy it again." };

It's me, your friendly casing neighbor.
In my example you can saw what xbox got treated even if we specify XBOX in file.


Refers to: docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyCustomWordEmbedding.cs:54 in 1bc241d. [](commit_id = 1bc241d, deletion_comment = False)

@zeahmed
zeahmed merged commit 950f133 into dotnet:masterApr 2, 2019
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Thanks!

zeahmed added a commit to zeahmed/machinelearning that referenced this pull request Apr 8, 2019
@zeahmedzeahmed mentioned this pull request Apr 8, 2019
@ghostghost locked as resolved and limited conversation to collaborators Mar 23, 2022
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Created samples for TokenizeIntoWords and RemoveStopWords APIs. - #3156

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zeahmed merged 8 commits into
dotnet:masterfrom
zeahmed:TokenizeIntoWords
Apr 2, 2019
Merged

Created samples for TokenizeIntoWords and RemoveStopWords APIs.#3156
zeahmed merged 8 commits into
dotnet:masterfrom
zeahmed:TokenizeIntoWords

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Related to #1209.

@codecov

codecovBot commented Apr 1, 2019

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Codecov Report

Merging #3156 into master will increase coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3156 +/- ##
==========================================
+ Coverage 72.53% 72.53% +<.01% 
==========================================
Files 808 807 -1 Lines 144775 144774 -1 Branches 16209 16208 -1 ==========================================
+ Hits 105012 105018 +6 + Misses 35348 35341 -7 
Partials 4415 4415
FlagCoverage Δ
#Debug72.53% <ø> (ø)⬆️
#production68.12% <ø> (ø)⬆️
#test88.82% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.Transforms/Text/TextCatalog.cs41.66% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️
src/Microsoft.ML.Data/Transforms/Normalizer.cs86.03% <0%> (ø)⬆️
...icrosoft.ML.Functional.Tests/DataTransformation.cs100% <0%> (ø)⬆️
...s/Api/CookbookSamples/CookbookSamplesDynamicApi.cs93.49% <0%> (ø)⬆️
...s/Scenarios/Api/CookbookSamples/CookbookSamples.cs99.49% <0%> (ø)⬆️
test/Microsoft.ML.Functional.Tests/Training.cs100% <0%> (ø)⬆️
...est/Microsoft.ML.Tests/FeatureContributionTests.cs98.55% <0%> (ø)⬆️
...oft.ML.Experimental/TransformsCatalogExtensions.cs
...c/Microsoft.ML.FastTree/Utils/ThreadTaskManager.cs100% <0%> (+20.51%)⬆️
... and 1 more

@sfilipi
sfilipi requested a review from natkeApril 1, 2019 21:09
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as
// the estimator ('StopWordsRemovingEstimator') created by 'RemoveDefaultStopWords' API is not a trainable estimator.

@Ivanidzo4kaIvanidzo4kaApr 1, 2019

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StopWordsRemovingEstimator [](start = 31, length = 26)

any reason why you prefer this format other than <see cref="StopWordsRemovingEstimator"> ? #Pending

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I doubt if it works in normal comments. works in xml comments.


In reply to: 271080226 [](ancestors = 271080226)

// as well as the source of randomness.
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as

@rogancarrrogancarrApr 1, 2019

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data sample list. [](start = 30, length = 18)

Create an empty list as the dataset. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for converting text into vector of words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text", separators: new[] { ' ' });

@rogancarrrogancarrApr 1, 2019

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separators: new[] { ' ' } [](start = 92, length = 25)

Can you add details about what to expect here with default values? One thing we may want to mention is removing any whitespace. #Resolved

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Approved with comments.

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:shipit:

/// <![CDATA[
/// [!code-csharp[FastTree](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/StopWordRemoverTransform.cs)]
/// ]]></format>
/// [!code-csharp[RemoveStopWords](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveDefaultStopWords.cs)]

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RemoveStopWords [](start = 26, length = 15)

RemoveDefaultStopWords
not sure is it important or not #Resolved

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text")
.Append(mlContext.Transforms.Text.RemoveStopWords("WordsWithoutStopWords", "Words", stopwords: new[] { "a", "the", "from", "by" }));

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from [](start = 132, length = 4)

I would throw few words regarding casing.
imaging you have string "Something CoOl here" and you have stop word remover with "cool", would it remove it? Would it preserve it?
It's a mystery now, but you can show how it works in this sample. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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removes [](start = 65, length = 7)

shall we add link to list of stop words?
https://github.com/dotnet/machinelearning/blob/master/src/Microsoft.ML.Transforms/Text/StopWords/English.txt this one is for english. #Resolved

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also if you can modify string to include "tHe" or something like that and show it was removed (because we compare by ignoring casing (I hope so) would be nice.


In reply to: 271477611 [](ancestors = 271477611)

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I think the link should go into the documentation instead of sample.


In reply to: 271478137 [](ancestors = 271478137,271477611)

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 var data = new TextData() { Text = "This is a great product. I would like to buy it again." };

It's me, your friendly casing neighbor.
In my example you can saw what xbox got treated even if we specify XBOX in file.


Refers to: docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyCustomWordEmbedding.cs:54 in 1bc241d. [](commit_id = 1bc241d, deletion_comment = False)

@zeahmed
zeahmed merged commit 950f133 into dotnet:masterApr 2, 2019
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Thanks!

zeahmed added a commit to zeahmed/machinelearning that referenced this pull request Apr 8, 2019
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Created samples for TokenizeIntoWords and RemoveStopWords APIs. - #3156

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dotnet:masterfrom
zeahmed:TokenizeIntoWords
Apr 2, 2019
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Created samples for TokenizeIntoWords and RemoveStopWords APIs.#3156
zeahmed merged 8 commits into
dotnet:masterfrom
zeahmed:TokenizeIntoWords

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Related to #1209.

@codecov

codecovBot commented Apr 1, 2019

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Codecov Report

Merging #3156 into master will increase coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3156 +/- ##
==========================================
+ Coverage 72.53% 72.53% +<.01% 
==========================================
Files 808 807 -1 Lines 144775 144774 -1 Branches 16209 16208 -1 ==========================================
+ Hits 105012 105018 +6 + Misses 35348 35341 -7 
Partials 4415 4415
FlagCoverage Δ
#Debug72.53% <ø> (ø)⬆️
#production68.12% <ø> (ø)⬆️
#test88.82% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.Transforms/Text/TextCatalog.cs41.66% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️
src/Microsoft.ML.Data/Transforms/Normalizer.cs86.03% <0%> (ø)⬆️
...icrosoft.ML.Functional.Tests/DataTransformation.cs100% <0%> (ø)⬆️
...s/Api/CookbookSamples/CookbookSamplesDynamicApi.cs93.49% <0%> (ø)⬆️
...s/Scenarios/Api/CookbookSamples/CookbookSamples.cs99.49% <0%> (ø)⬆️
test/Microsoft.ML.Functional.Tests/Training.cs100% <0%> (ø)⬆️
...est/Microsoft.ML.Tests/FeatureContributionTests.cs98.55% <0%> (ø)⬆️
...oft.ML.Experimental/TransformsCatalogExtensions.cs
...c/Microsoft.ML.FastTree/Utils/ThreadTaskManager.cs100% <0%> (+20.51%)⬆️
... and 1 more

@sfilipi
sfilipi requested a review from natkeApril 1, 2019 21:09
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as
// the estimator ('StopWordsRemovingEstimator') created by 'RemoveDefaultStopWords' API is not a trainable estimator.

@Ivanidzo4kaIvanidzo4kaApr 1, 2019

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StopWordsRemovingEstimator [](start = 31, length = 26)

any reason why you prefer this format other than <see cref="StopWordsRemovingEstimator"> ? #Pending

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I doubt if it works in normal comments. works in xml comments.


In reply to: 271080226 [](ancestors = 271080226)

// as well as the source of randomness.
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as

@rogancarrrogancarrApr 1, 2019

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data sample list. [](start = 30, length = 18)

Create an empty list as the dataset. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for converting text into vector of words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text", separators: new[] { ' ' });

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separators: new[] { ' ' } [](start = 92, length = 25)

Can you add details about what to expect here with default values? One thing we may want to mention is removing any whitespace. #Resolved

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Approved with comments.

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:shipit:

/// <![CDATA[
/// [!code-csharp[FastTree](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/StopWordRemoverTransform.cs)]
/// ]]></format>
/// [!code-csharp[RemoveStopWords](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveDefaultStopWords.cs)]

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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RemoveStopWords [](start = 26, length = 15)

RemoveDefaultStopWords
not sure is it important or not #Resolved

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text")
.Append(mlContext.Transforms.Text.RemoveStopWords("WordsWithoutStopWords", "Words", stopwords: new[] { "a", "the", "from", "by" }));

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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from [](start = 132, length = 4)

I would throw few words regarding casing.
imaging you have string "Something CoOl here" and you have stop word remover with "cool", would it remove it? Would it preserve it?
It's a mystery now, but you can show how it works in this sample. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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removes [](start = 65, length = 7)

shall we add link to list of stop words?
https://github.com/dotnet/machinelearning/blob/master/src/Microsoft.ML.Transforms/Text/StopWords/English.txt this one is for english. #Resolved

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also if you can modify string to include "tHe" or something like that and show it was removed (because we compare by ignoring casing (I hope so) would be nice.


In reply to: 271477611 [](ancestors = 271477611)

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I think the link should go into the documentation instead of sample.


In reply to: 271478137 [](ancestors = 271478137,271477611)

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 var data = new TextData() { Text = "This is a great product. I would like to buy it again." };

It's me, your friendly casing neighbor.
In my example you can saw what xbox got treated even if we specify XBOX in file.


Refers to: docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyCustomWordEmbedding.cs:54 in 1bc241d. [](commit_id = 1bc241d, deletion_comment = False)

@zeahmed
zeahmed merged commit 950f133 into dotnet:masterApr 2, 2019
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Thanks!

zeahmed added a commit to zeahmed/machinelearning that referenced this pull request Apr 8, 2019
@zeahmedzeahmed mentioned this pull request Apr 8, 2019
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@zeahmed@Ivanidzo4ka@rogancarr
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Created samples for TokenizeIntoWords and RemoveStopWords APIs. - #3156

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zeahmed merged 8 commits into
dotnet:masterfrom
zeahmed:TokenizeIntoWords
Apr 2, 2019
Merged

Created samples for TokenizeIntoWords and RemoveStopWords APIs.#3156
zeahmed merged 8 commits into
dotnet:masterfrom
zeahmed:TokenizeIntoWords

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Related to #1209.

@codecov

codecovBot commented Apr 1, 2019

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Codecov Report

Merging #3156 into master will increase coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3156 +/- ##
==========================================
+ Coverage 72.53% 72.53% +<.01% 
==========================================
Files 808 807 -1 Lines 144775 144774 -1 Branches 16209 16208 -1 ==========================================
+ Hits 105012 105018 +6 + Misses 35348 35341 -7 
Partials 4415 4415
FlagCoverage Δ
#Debug72.53% <ø> (ø)⬆️
#production68.12% <ø> (ø)⬆️
#test88.82% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.Transforms/Text/TextCatalog.cs41.66% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️
src/Microsoft.ML.Data/Transforms/Normalizer.cs86.03% <0%> (ø)⬆️
...icrosoft.ML.Functional.Tests/DataTransformation.cs100% <0%> (ø)⬆️
...s/Api/CookbookSamples/CookbookSamplesDynamicApi.cs93.49% <0%> (ø)⬆️
...s/Scenarios/Api/CookbookSamples/CookbookSamples.cs99.49% <0%> (ø)⬆️
test/Microsoft.ML.Functional.Tests/Training.cs100% <0%> (ø)⬆️
...est/Microsoft.ML.Tests/FeatureContributionTests.cs98.55% <0%> (ø)⬆️
...oft.ML.Experimental/TransformsCatalogExtensions.cs
...c/Microsoft.ML.FastTree/Utils/ThreadTaskManager.cs100% <0%> (+20.51%)⬆️
... and 1 more

@sfilipi
sfilipi requested a review from natkeApril 1, 2019 21:09
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as
// the estimator ('StopWordsRemovingEstimator') created by 'RemoveDefaultStopWords' API is not a trainable estimator.

@Ivanidzo4kaIvanidzo4kaApr 1, 2019

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StopWordsRemovingEstimator [](start = 31, length = 26)

any reason why you prefer this format other than <see cref="StopWordsRemovingEstimator"> ? #Pending

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I doubt if it works in normal comments. works in xml comments.


In reply to: 271080226 [](ancestors = 271080226)

// as well as the source of randomness.
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as

@rogancarrrogancarrApr 1, 2019

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data sample list. [](start = 30, length = 18)

Create an empty list as the dataset. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for converting text into vector of words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text", separators: new[] { ' ' });

@rogancarrrogancarrApr 1, 2019

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separators: new[] { ' ' } [](start = 92, length = 25)

Can you add details about what to expect here with default values? One thing we may want to mention is removing any whitespace. #Resolved

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Approved with comments.

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:shipit:

/// <![CDATA[
/// [!code-csharp[FastTree](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/StopWordRemoverTransform.cs)]
/// ]]></format>
/// [!code-csharp[RemoveStopWords](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveDefaultStopWords.cs)]

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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RemoveStopWords [](start = 26, length = 15)

RemoveDefaultStopWords
not sure is it important or not #Resolved

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text")
.Append(mlContext.Transforms.Text.RemoveStopWords("WordsWithoutStopWords", "Words", stopwords: new[] { "a", "the", "from", "by" }));

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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from [](start = 132, length = 4)

I would throw few words regarding casing.
imaging you have string "Something CoOl here" and you have stop word remover with "cool", would it remove it? Would it preserve it?
It's a mystery now, but you can show how it works in this sample. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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removes [](start = 65, length = 7)

shall we add link to list of stop words?
https://github.com/dotnet/machinelearning/blob/master/src/Microsoft.ML.Transforms/Text/StopWords/English.txt this one is for english. #Resolved

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also if you can modify string to include "tHe" or something like that and show it was removed (because we compare by ignoring casing (I hope so) would be nice.


In reply to: 271477611 [](ancestors = 271477611)

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I think the link should go into the documentation instead of sample.


In reply to: 271478137 [](ancestors = 271478137,271477611)

@Ivanidzo4ka

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 var data = new TextData() { Text = "This is a great product. I would like to buy it again." };

It's me, your friendly casing neighbor.
In my example you can saw what xbox got treated even if we specify XBOX in file.


Refers to: docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyCustomWordEmbedding.cs:54 in 1bc241d. [](commit_id = 1bc241d, deletion_comment = False)

@zeahmed
zeahmed merged commit 950f133 into dotnet:masterApr 2, 2019
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Thanks!

zeahmed added a commit to zeahmed/machinelearning that referenced this pull request Apr 8, 2019
@zeahmedzeahmed mentioned this pull request Apr 8, 2019
@ghostghost locked as resolved and limited conversation to collaborators Mar 23, 2022
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@zeahmed@Ivanidzo4ka@rogancarr
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Created samples for TokenizeIntoWords and RemoveStopWords APIs. - #3156

Merged
zeahmed merged 8 commits into
dotnet:masterfrom
zeahmed:TokenizeIntoWords
Apr 2, 2019
Merged

Created samples for TokenizeIntoWords and RemoveStopWords APIs.#3156
zeahmed merged 8 commits into
dotnet:masterfrom
zeahmed:TokenizeIntoWords

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Related to #1209.

@codecov

codecovBot commented Apr 1, 2019

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Codecov Report

Merging #3156 into master will increase coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3156 +/- ##
==========================================
+ Coverage 72.53% 72.53% +<.01% 
==========================================
Files 808 807 -1 Lines 144775 144774 -1 Branches 16209 16208 -1 ==========================================
+ Hits 105012 105018 +6 + Misses 35348 35341 -7 
Partials 4415 4415
FlagCoverage Δ
#Debug72.53% <ø> (ø)⬆️
#production68.12% <ø> (ø)⬆️
#test88.82% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.Transforms/Text/TextCatalog.cs41.66% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️
src/Microsoft.ML.Data/Transforms/Normalizer.cs86.03% <0%> (ø)⬆️
...icrosoft.ML.Functional.Tests/DataTransformation.cs100% <0%> (ø)⬆️
...s/Api/CookbookSamples/CookbookSamplesDynamicApi.cs93.49% <0%> (ø)⬆️
...s/Scenarios/Api/CookbookSamples/CookbookSamples.cs99.49% <0%> (ø)⬆️
test/Microsoft.ML.Functional.Tests/Training.cs100% <0%> (ø)⬆️
...est/Microsoft.ML.Tests/FeatureContributionTests.cs98.55% <0%> (ø)⬆️
...oft.ML.Experimental/TransformsCatalogExtensions.cs
...c/Microsoft.ML.FastTree/Utils/ThreadTaskManager.cs100% <0%> (+20.51%)⬆️
... and 1 more

@sfilipi
sfilipi requested a review from natkeApril 1, 2019 21:09
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as
// the estimator ('StopWordsRemovingEstimator') created by 'RemoveDefaultStopWords' API is not a trainable estimator.

@Ivanidzo4kaIvanidzo4kaApr 1, 2019

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StopWordsRemovingEstimator [](start = 31, length = 26)

any reason why you prefer this format other than <see cref="StopWordsRemovingEstimator"> ? #Pending

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I doubt if it works in normal comments. works in xml comments.


In reply to: 271080226 [](ancestors = 271080226)

// as well as the source of randomness.
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as

@rogancarrrogancarrApr 1, 2019

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data sample list. [](start = 30, length = 18)

Create an empty list as the dataset. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for converting text into vector of words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text", separators: new[] { ' ' });

@rogancarrrogancarrApr 1, 2019

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separators: new[] { ' ' } [](start = 92, length = 25)

Can you add details about what to expect here with default values? One thing we may want to mention is removing any whitespace. #Resolved

@rogancarrrogancarr left a comment

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Approved with comments.

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:shipit:

/// <![CDATA[
/// [!code-csharp[FastTree](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/StopWordRemoverTransform.cs)]
/// ]]></format>
/// [!code-csharp[RemoveStopWords](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveDefaultStopWords.cs)]

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RemoveStopWords [](start = 26, length = 15)

RemoveDefaultStopWords
not sure is it important or not #Resolved

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text")
.Append(mlContext.Transforms.Text.RemoveStopWords("WordsWithoutStopWords", "Words", stopwords: new[] { "a", "the", "from", "by" }));

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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from [](start = 132, length = 4)

I would throw few words regarding casing.
imaging you have string "Something CoOl here" and you have stop word remover with "cool", would it remove it? Would it preserve it?
It's a mystery now, but you can show how it works in this sample. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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removes [](start = 65, length = 7)

shall we add link to list of stop words?
https://github.com/dotnet/machinelearning/blob/master/src/Microsoft.ML.Transforms/Text/StopWords/English.txt this one is for english. #Resolved

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also if you can modify string to include "tHe" or something like that and show it was removed (because we compare by ignoring casing (I hope so) would be nice.


In reply to: 271477611 [](ancestors = 271477611)

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I think the link should go into the documentation instead of sample.


In reply to: 271478137 [](ancestors = 271478137,271477611)

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 var data = new TextData() { Text = "This is a great product. I would like to buy it again." };

It's me, your friendly casing neighbor.
In my example you can saw what xbox got treated even if we specify XBOX in file.


Refers to: docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyCustomWordEmbedding.cs:54 in 1bc241d. [](commit_id = 1bc241d, deletion_comment = False)

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zeahmed merged commit 950f133 into dotnet:masterApr 2, 2019
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Created samples for TokenizeIntoWords and RemoveStopWords APIs. - #3156

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zeahmed:TokenizeIntoWords
Apr 2, 2019
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Created samples for TokenizeIntoWords and RemoveStopWords APIs.#3156
zeahmed merged 8 commits into
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zeahmed:TokenizeIntoWords

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Related to #1209.

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codecovBot commented Apr 1, 2019

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Codecov Report

Merging #3156 into master will increase coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3156 +/- ##
==========================================
+ Coverage 72.53% 72.53% +<.01% 
==========================================
Files 808 807 -1 Lines 144775 144774 -1 Branches 16209 16208 -1 ==========================================
+ Hits 105012 105018 +6 + Misses 35348 35341 -7 
Partials 4415 4415
FlagCoverage Δ
#Debug72.53% <ø> (ø)⬆️
#production68.12% <ø> (ø)⬆️
#test88.82% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.Transforms/Text/TextCatalog.cs41.66% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️
src/Microsoft.ML.Data/Transforms/Normalizer.cs86.03% <0%> (ø)⬆️
...icrosoft.ML.Functional.Tests/DataTransformation.cs100% <0%> (ø)⬆️
...s/Api/CookbookSamples/CookbookSamplesDynamicApi.cs93.49% <0%> (ø)⬆️
...s/Scenarios/Api/CookbookSamples/CookbookSamples.cs99.49% <0%> (ø)⬆️
test/Microsoft.ML.Functional.Tests/Training.cs100% <0%> (ø)⬆️
...est/Microsoft.ML.Tests/FeatureContributionTests.cs98.55% <0%> (ø)⬆️
...oft.ML.Experimental/TransformsCatalogExtensions.cs
...c/Microsoft.ML.FastTree/Utils/ThreadTaskManager.cs100% <0%> (+20.51%)⬆️
... and 1 more

@sfilipi
sfilipi requested a review from natkeApril 1, 2019 21:09
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as
// the estimator ('StopWordsRemovingEstimator') created by 'RemoveDefaultStopWords' API is not a trainable estimator.

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StopWordsRemovingEstimator [](start = 31, length = 26)

any reason why you prefer this format other than <see cref="StopWordsRemovingEstimator"> ? #Pending

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I doubt if it works in normal comments. works in xml comments.


In reply to: 271080226 [](ancestors = 271080226)

// as well as the source of randomness.
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as

@rogancarrrogancarrApr 1, 2019

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data sample list. [](start = 30, length = 18)

Create an empty list as the dataset. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for converting text into vector of words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text", separators: new[] { ' ' });

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separators: new[] { ' ' } [](start = 92, length = 25)

Can you add details about what to expect here with default values? One thing we may want to mention is removing any whitespace. #Resolved

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Approved with comments.

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:shipit:

/// <![CDATA[
/// [!code-csharp[FastTree](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/StopWordRemoverTransform.cs)]
/// ]]></format>
/// [!code-csharp[RemoveStopWords](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveDefaultStopWords.cs)]

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RemoveStopWords [](start = 26, length = 15)

RemoveDefaultStopWords
not sure is it important or not #Resolved

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text")
.Append(mlContext.Transforms.Text.RemoveStopWords("WordsWithoutStopWords", "Words", stopwords: new[] { "a", "the", "from", "by" }));

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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from [](start = 132, length = 4)

I would throw few words regarding casing.
imaging you have string "Something CoOl here" and you have stop word remover with "cool", would it remove it? Would it preserve it?
It's a mystery now, but you can show how it works in this sample. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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removes [](start = 65, length = 7)

shall we add link to list of stop words?
https://github.com/dotnet/machinelearning/blob/master/src/Microsoft.ML.Transforms/Text/StopWords/English.txt this one is for english. #Resolved

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also if you can modify string to include "tHe" or something like that and show it was removed (because we compare by ignoring casing (I hope so) would be nice.


In reply to: 271477611 [](ancestors = 271477611)

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I think the link should go into the documentation instead of sample.


In reply to: 271478137 [](ancestors = 271478137,271477611)

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 var data = new TextData() { Text = "This is a great product. I would like to buy it again." };

It's me, your friendly casing neighbor.
In my example you can saw what xbox got treated even if we specify XBOX in file.


Refers to: docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyCustomWordEmbedding.cs:54 in 1bc241d. [](commit_id = 1bc241d, deletion_comment = False)

@zeahmed
zeahmed merged commit 950f133 into dotnet:masterApr 2, 2019
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Thanks!

zeahmed added a commit to zeahmed/machinelearning that referenced this pull request Apr 8, 2019
@zeahmedzeahmed mentioned this pull request Apr 8, 2019
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@zeahmed@Ivanidzo4ka@rogancarr
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Created samples for TokenizeIntoWords and RemoveStopWords APIs. - #3156

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zeahmed:TokenizeIntoWords
Apr 2, 2019
Merged

Created samples for TokenizeIntoWords and RemoveStopWords APIs.#3156
zeahmed merged 8 commits into
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zeahmed:TokenizeIntoWords

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Related to #1209.

@codecov

codecovBot commented Apr 1, 2019

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Codecov Report

Merging #3156 into master will increase coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3156 +/- ##
==========================================
+ Coverage 72.53% 72.53% +<.01% 
==========================================
Files 808 807 -1 Lines 144775 144774 -1 Branches 16209 16208 -1 ==========================================
+ Hits 105012 105018 +6 + Misses 35348 35341 -7 
Partials 4415 4415
FlagCoverage Δ
#Debug72.53% <ø> (ø)⬆️
#production68.12% <ø> (ø)⬆️
#test88.82% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.Transforms/Text/TextCatalog.cs41.66% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️
src/Microsoft.ML.Data/Transforms/Normalizer.cs86.03% <0%> (ø)⬆️
...icrosoft.ML.Functional.Tests/DataTransformation.cs100% <0%> (ø)⬆️
...s/Api/CookbookSamples/CookbookSamplesDynamicApi.cs93.49% <0%> (ø)⬆️
...s/Scenarios/Api/CookbookSamples/CookbookSamples.cs99.49% <0%> (ø)⬆️
test/Microsoft.ML.Functional.Tests/Training.cs100% <0%> (ø)⬆️
...est/Microsoft.ML.Tests/FeatureContributionTests.cs98.55% <0%> (ø)⬆️
...oft.ML.Experimental/TransformsCatalogExtensions.cs
...c/Microsoft.ML.FastTree/Utils/ThreadTaskManager.cs100% <0%> (+20.51%)⬆️
... and 1 more

@sfilipi
sfilipi requested a review from natkeApril 1, 2019 21:09
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as
// the estimator ('StopWordsRemovingEstimator') created by 'RemoveDefaultStopWords' API is not a trainable estimator.

@Ivanidzo4kaIvanidzo4kaApr 1, 2019

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StopWordsRemovingEstimator [](start = 31, length = 26)

any reason why you prefer this format other than <see cref="StopWordsRemovingEstimator"> ? #Pending

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I doubt if it works in normal comments. works in xml comments.


In reply to: 271080226 [](ancestors = 271080226)

// as well as the source of randomness.
var mlContext = new MLContext();

// Create an empty data sample list. The 'RemoveDefaultStopWords' does not require training data as

@rogancarrrogancarrApr 1, 2019

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data sample list. [](start = 30, length = 18)

Create an empty list as the dataset. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for converting text into vector of words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text", separators: new[] { ' ' });

@rogancarrrogancarrApr 1, 2019

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separators: new[] { ' ' } [](start = 92, length = 25)

Can you add details about what to expect here with default values? One thing we may want to mention is removing any whitespace. #Resolved

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Approved with comments.

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:shipit:

/// <![CDATA[
/// [!code-csharp[FastTree](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/StopWordRemoverTransform.cs)]
/// ]]></format>
/// [!code-csharp[RemoveStopWords](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveDefaultStopWords.cs)]

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RemoveStopWords [](start = 26, length = 15)

RemoveDefaultStopWords
not sure is it important or not #Resolved

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.
var textPipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text")
.Append(mlContext.Transforms.Text.RemoveStopWords("WordsWithoutStopWords", "Words", stopwords: new[] { "a", "the", "from", "by" }));

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from [](start = 132, length = 4)

I would throw few words regarding casing.
imaging you have string "Something CoOl here" and you have stop word remover with "cool", would it remove it? Would it preserve it?
It's a mystery now, but you can show how it works in this sample. #Resolved

var emptyDataView = mlContext.Data.LoadFromEnumerable(emptySamples);

// A pipeline for removing stop words from input text/string.
// The pipeline first tokenizes text into words then removes stop words.

@Ivanidzo4kaIvanidzo4kaApr 2, 2019

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removes [](start = 65, length = 7)

shall we add link to list of stop words?
https://github.com/dotnet/machinelearning/blob/master/src/Microsoft.ML.Transforms/Text/StopWords/English.txt this one is for english. #Resolved

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also if you can modify string to include "tHe" or something like that and show it was removed (because we compare by ignoring casing (I hope so) would be nice.


In reply to: 271477611 [](ancestors = 271477611)

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I think the link should go into the documentation instead of sample.


In reply to: 271478137 [](ancestors = 271478137,271477611)

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 var data = new TextData() { Text = "This is a great product. I would like to buy it again." };

It's me, your friendly casing neighbor.
In my example you can saw what xbox got treated even if we specify XBOX in file.


Refers to: docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyCustomWordEmbedding.cs:54 in 1bc241d. [](commit_id = 1bc241d, deletion_comment = False)

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zeahmed merged commit 950f133 into dotnet:masterApr 2, 2019
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Thanks!

zeahmed added a commit to zeahmed/machinelearning that referenced this pull request Apr 8, 2019
@zeahmedzeahmed mentioned this pull request Apr 8, 2019
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