XML documentation for five text related transforms #3418

artidoro · 2019-04-18T22:52:14Z

Tracked by #3204.

This PR covers:

TokenizeCharacters
NormalizeText
ExtractWordEmbeddings
TokenizeWords
ProduceNgrams

codecov · 2019-04-18T23:29:07Z

Codecov Report

Merging #3418 into master will increase coverage by 0.02%.
The diff coverage is 100%.

@@            Coverage Diff             @@
##           master    #3418      +/-   ##
==========================================
+ Coverage    72.7%   72.73%   +0.02%     
==========================================
  Files         807      807              
  Lines      145171   145206      +35     
  Branches    16225    16230       +5     
==========================================
+ Hits       105551   105613      +62     
+ Misses      35201    35176      -25     
+ Partials     4419     4417       -2

Flag	Coverage Δ
#Debug	`72.73% <100%> (+0.02%)`	⬆️
#production	`68.27% <100%> (+0.03%)`	⬆️
#test	`88.98% <ø> (ø)`	⬆️

Impacted Files	Coverage Δ
...osoft.ML.Transforms/Text/TokenizingByCharacters.cs	`95.32% <ø> (ø)`	⬆️
...soft.ML.Transforms/Text/WordEmbeddingsExtractor.cs	`87.52% <ø> (ø)`	⬆️
src/Microsoft.ML.Transforms/Text/WordTokenizing.cs	`79.15% <ø> (ø)`	⬆️
src/Microsoft.ML.Transforms/Text/TextCatalog.cs	`41.66% <ø> (ø)`	⬆️
src/Microsoft.ML.Transforms/Text/NgramUtils.cs	`89.25% <ø> (ø)`	⬆️
src/Microsoft.ML.Transforms/Text/NgramTransform.cs	`87.42% <ø> (ø)`	⬆️
...rc/Microsoft.ML.Transforms/Text/TextNormalizing.cs	`97.11% <100%> (ø)`	⬆️
src/Microsoft.ML.Core/Data/ProgressReporter.cs	`70.95% <0%> (-6.99%)`	⬇️
src/Microsoft.ML.Maml/MAML.cs	`24.75% <0%> (-1.46%)`	⬇️
src/Microsoft.ML.Data/Transforms/KeyToValue.cs	`79.16% <0%> (-0.65%)`	⬇️
... and 19 more

Ivanidzo4ka · 2019-04-18T23:43:13Z

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

+    /// | Input column data type | Vector of [Keys](<xref:Microsoft.ML.Data.KeyDataViewType>) |
+    /// | Output column data type | Known-sized vector of <xref:System.Single> |
+    ///
+    /// The resulting [NgramExtractingTransformer]<xref:Microsoft.ML.Transforms.Text.NgramExtractingTransformer>


NgramExtractingTransformer] [](start = 23, length = 27)

If you make it as link you should put <xref> in braces [text](url) #Closed

And i'm not sure we even want make it url, what is wrong with just <xref>

In reply to: 276868333 [](ancestors = 276868333)

If the anchor text is the same as the class/type name, you don't really need to use anchor pattern. You can save some time by using autolinks: xref:UID

also we don't have []<> pattern. this won't work as is.

In reply to: 276868428 [](ancestors = 276868428,276868333)

Ivanidzo4ka · 2019-04-18T23:50:06Z

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

            [EnumValueDisplay("TF (Term Frequency)")]
            Tf = 0,

+            /// <summary>Inverse Document Frequency. A ratio (the logarithm of inverse relative frequency)


/// <summary [](start = 12, length = 12)

thank you for adding this.
Should we make it

<summary> text </summary>

? #Closed

Yes you are right!

In reply to: 276869289 [](ancestors = 276869289)

Ivanidzo4ka · 2019-04-18T23:53:31Z

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

+    /// |  |  |
+    /// | -- | -- |
+    /// | Does this estimator need to look at the data to train its parameters? | Yes |
+    /// | Input column data type | <xref:System.ReadOnlyMemory{System.Char}> |


xref:System.ReadOnlyMemory{System.Char} [](start = 35, length = 41)

Scalar or vector ? #Resolved

Ivanidzo4ka · 2019-04-18T23:53:56Z

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

-        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-        /// <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
+        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
+        /// This column's data type will be a vector of keys.</param>


vector [](start = 46, length = 6)

unknown size vector #Closed

Is variable-sized vector fine?

In reply to: 276869836 [](ancestors = 276869836)

Ivanidzo4ka · 2019-04-18T23:55:36Z

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

-        /// Normalizes incoming text in <paramref name="inputColumnName"/> by changing case, removing diacritical marks, punctuation marks and/or numbers
-        /// and outputs new text as <paramref name="outputColumnName"/>.
+        /// Creates a <see cref="TextNormalizingEstimator"/>, which normalizes incoming text in <paramref name="inputColumnName"/> by changing case,
+        /// removing diacritical marks, punctuation marks and/or numbers and outputs new text as <paramref name="outputColumnName"/>.


it reads as it's doing casing removing diacritics and punctuations, and only for numbers you have option to decide. #Closed

Ivanidzo4ka · 2019-04-18T23:56:14Z

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

+        /// This column's data type will remain scalar of text or a vector of text depending on the input column data type.</param>
+        /// <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>,
+        /// the value of the <paramref name="outputColumnName"/> will be used as source.
+        /// This estimator operates on text and vector of text data types.</param>


and [](start = 44, length = 3)

or? #Closed

Ivanidzo4ka · 2019-04-18T23:59:14Z

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

-        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-        /// <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
+        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
+        /// The output column is of type variable vector of string.</param>


string [](start = 60, length = 6)

text here and below #WontFix

Not public member I will not fix it for now.

In reply to: 276870603 [](ancestors = 276870603)

Ivanidzo4ka · 2019-04-18T23:59:36Z

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

-        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-        /// <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
+        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
+        /// This column's data type will be a vector of text.</param>


vector [](start = 46, length = 6)

unknown size vector #ByDesign

Is variable-sized fine?

In reply to: 276870655 [](ancestors = 276870655)

variable-sized (as discussed in the chat)

In reply to: 277070083 [](ancestors = 277070083,276870655)

shmoradims · 2019-04-19T16:42:26Z

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

@@ -124,10 +130,16 @@ public static class TextCatalog
            => new TextNormalizingEstimator(Contracts.CheckRef(catalog, nameof(catalog)).GetEnvironment(),
                outputColumnName, inputColumnName, caseMode, keepDiacritics, keepPunctuations, keepNumbers);

-        /// <include file='doc.xml' path='doc/members/member[@name="WordEmbeddings"]/*' />


'doc.xml' [](start = 26, length = 9)

if doc.xml is no longer used, please remove the file #Resolved

The file is still used by the trasnforms that Ivan, and senja are workign on . I would rather remove it at the end, and not modify it to avoid conflicts.

In reply to: 277032552 [](ancestors = 277032552)

shmoradims · 2019-04-19T16:44:15Z

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

+        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
+        /// This column's data type will be a vector of <see cref="System.Single"/>.</param>
+        /// <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>,
+        /// the value of the <paramref name="outputColumnName"/> will be used as source.


source [](start = 81, length = 6)

let's not use 'source'. just drop 'as source'. it reads fine without it. #Pending

I can modify it here, but it's everywhere, that's the pattern that a lot of our transforms follow.

In reply to: 277032960 [](ancestors = 277032960)

shmoradims · 2019-04-19T16:47:04Z

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

@@ -161,10 +179,13 @@ public static class TextCatalog
            => new WordEmbeddingEstimator(Contracts.CheckRef(catalog, nameof(catalog)).GetEnvironment(),
                outputColumnName, customModelFile, inputColumnName ?? outputColumnName);

-        /// <include file='doc.xml' path='doc/members/member[@name="WordEmbeddings"]/*' />
+        /// <summary>
+        /// Create an <see cref="WordEmbeddingEstimator"/>, which is a text featurizer that converts vectors


vectors [](start = 101, length = 7)

singular or plural? if it's plural, please say 'multiple vectors' or 'one or more vectors' #Resolved

shmoradims · 2019-04-19T16:53:51Z

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

        /// <param name="ngramLength">Ngram length.</param>
-        /// <param name="skipLength">Maximum number of tokens to skip when constructing an ngram.</param>
+        /// <param name="skipLength">Number of tokens to skip between each ngram. By defaults no token is skipped.</param>


defaults [](start = 85, length = 8)

default (no s) #Resolved

shmoradims · 2019-04-19T16:58:03Z

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

+    /// |  |  |
+    /// | -- | -- |
+    /// | Does this estimator need to look at the data to train its parameters? | Yes |
+    /// | Input column data type | <xref:System.ReadOnlyMemory{System.Char}> |


xref:System.ReadOnlyMemory{System.Char} [](start = 35, length = 41)

we might need to change this. i'll let you know. #Resolved

shmoradims · 2019-04-19T17:00:34Z

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

+    /// |  |  |
+    /// | -- | -- |
+    /// | Does this estimator need to look at the data to train its parameters? | No |
+    /// | Input column data type | Vector of <xref:System.ReadOnlyMemory{System.Char}> |


<x [](start = 45, length = 2)

please add [text] as anchor-text #Resolved

shmoradims · 2019-04-19T17:00:52Z

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

+    /// | Input column data type | Vector of <xref:System.ReadOnlyMemory{System.Char}> |
+    /// | Output column data type | Known-sized vector of <xref:System.Single> |
+    ///
+    /// The [WordEmbeddingTransformer](<xref:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer>) produces a new column,


(xref:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer) [](start = 38, length = 62)

fix #Resolved

shmoradims · 2019-04-19T17:24:20Z

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

@@ -795,33 +826,43 @@ internal WordEmbeddingEstimator(IHostEnvironment env, string customModelFile, pa
        /// </summary>
        public enum PretrainedModelKind
        {
+            /// <summary>GloVe 50 dimensional word embeddings.</summary>


///
GloVe 50 dimensional word embeddings.
[](start = 12, length = 60)

///

/// GloVe 50 dimensional word embeddings.

#Resolved

shmoradims · 2019-04-19T17:25:58Z

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

+    /// |  |  |
+    /// | -- | -- |
+    /// | Does this estimator need to look at the data to train its parameters? | No |
+    /// | Input column data type | <xref:System.ReadOnlyMemory{System.Char}> |


[](start = 34, length = 1)

add [text] for anchor text #Resolved

shmoradims

shmoradims · 2019-04-19T20:29:00Z

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

+        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
+        /// The output column is of type variable vector of string.</param>
+        /// <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
+        /// This column should be of type string.</param>
        /// <param name="separators">The separators to use (uses space character by default).</param>


please don't change 'internal' stuff. it's extra work for you and for review. #Resolved

Ivanidzo4ka · 2019-04-19T20:31:43Z

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

-        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-        /// <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
+        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
+        /// This column's data type will be a vector of <see cref="System.Single"/>.</param>


vector [](start = 46, length = 6)

known-sized #Resolved

Ivanidzo4ka · 2019-04-19T20:40:50Z

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

-        /// <param name="inputColumnName">Name of the column to transform.</param>
+        /// <param name="customModelFile">The path of the pre-trained embeddings model to use.</param>
+        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
+        /// This column's data type will be a vector of <see cref="System.Single"/>.</param>


vector [](start = 46, length = 6)

known-sized #Resolved

Ivanidzo4ka · 2019-04-19T20:43:18Z

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

+        /// <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
+        /// This column's data type will be a variable-sized vector of text.</param>
+        /// <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
+        /// This estimator operates of text data type.</param>


text data type [](start = 39, length = 14)

we support just scalar or vector #Resolved

Ivanidzo4ka · 2019-04-19T20:44:33Z

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

+    /// |  |  |
+    /// | -- | -- |
+    /// | Does this estimator need to look at the data to train its parameters? | No |
+    /// | Input column data type | [Text](xref:Microsoft.ML.Data.TextDataViewType)  or Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType)  |


[](start = 82, length = 2)

double space #Resolved

Ivanidzo4ka · 2019-04-19T20:47:09Z

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

+    /// | -- | -- |
+    /// | Does this estimator need to look at the data to train its parameters? | No |
+    /// | Input column data type | [Text](xref:Microsoft.ML.Data.TextDataViewType)  or Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType)  |
+    /// | Output column data type | The same as the data type in the input column |


The same as the data type in the input column [](start = 36, length = 45)

We drop empty strings, so your vector would end-up variable vector. #Resolved

Ivanidzo4ka · 2019-04-19T20:47:55Z

            result[colInfo.outputColumnName] = new SchemaShape.Column(colInfo.outputColumnName, col.Kind == SchemaShape.Column.VectorKind.Vector ? SchemaShape.Column.VectorKind.VariableVector : SchemaShape.Column.VectorKind.Scalar, col.ItemType, false);

We don't support variable vector? That's weird. #Resolved

Refers to: src/Microsoft.ML.Transforms/Text/TextNormalizing.cs:545 in 3f4b997. [](commit_id = 3f4b997, deletion_comment = False)

Ivanidzo4ka · 2019-04-19T20:48:29Z

            result[colInfo.outputColumnName] = new SchemaShape.Column(colInfo.outputColumnName, col.Kind == SchemaShape.Column.VectorKind.Vector ? SchemaShape.Column.VectorKind.VariableVector : SchemaShape.Column.VectorKind.Scalar, col.ItemType, false);

I mean if it's vector make it variable vector and in any other case let it be scalar.
Looks like bug to me.

In reply to: 485010348 [](ancestors = 485010348)

Refers to: src/Microsoft.ML.Transforms/Text/TextNormalizing.cs:545 in 3f4b997. [](commit_id = 3f4b997, deletion_comment = False)

Ivanidzo4ka · 2019-04-19T20:49:42Z

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

+    /// |  |  |
+    /// | -- | -- |
+    /// | Does this estimator need to look at the data to train its parameters? | Yes |
+    /// | Input column data type | Scalar of [Text](xref:Microsoft.ML.Data.TextDataViewType)  |


Scalar [](start = 35, length = 6)

I don't see any checks for that. We just check that type is text, which can be true for Scalar or Vector. #Resolved

Ivanidzo4ka · 2019-04-19T20:51:15Z

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

+    /// |  |  |
+    /// | -- | -- |
+    /// | Does this estimator need to look at the data to train its parameters? | No |
+    /// | Input column data type | Scalar of [Text](xref:Microsoft.ML.Data.TextDataViewType)  |


Scalar [](start = 35, length = 6)

Check IsColumnTypeValid() we don't care about is it scalar or vector as long as underlying type is Text #Resolved

artidoro · 2019-04-19T22:07:32Z

            result[colInfo.outputColumnName] = new SchemaShape.Column(colInfo.outputColumnName, col.Kind == SchemaShape.Column.VectorKind.Vector ? SchemaShape.Column.VectorKind.VariableVector : SchemaShape.Column.VectorKind.Scalar, col.ItemType, false);

Good catch just fixed it.

In reply to: 485010465 [](ancestors = 485010465,485010348)

Refers to: src/Microsoft.ML.Transforms/Text/TextNormalizing.cs:545 in 3f4b997. [](commit_id = 3f4b997, deletion_comment = False)

Ivanidzo4ka

Ivanidzo4ka

text transforms xml doc

e823567

artidoro self-assigned this Apr 18, 2019

artidoro added the documentation Related to documentation of ML.NET label Apr 18, 2019

artidoro requested review from sfilipi, Ivanidzo4ka, shmoradims and singlis April 18, 2019 22:56

sfilipi mentioned this pull request Apr 18, 2019

API reference - XML documentation template for transforms #3204

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artidoro added 2 commits April 19, 2019 12:26

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artidoro merged commit 7d26e61 into dotnet:master Apr 19, 2019

ghost locked as resolved and limited conversation to collaborators Mar 22, 2022

XML documentation for five text related transforms #3418

XML documentation for five text related transforms #3418

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