Adding documentation about the rest of the classes involved on generating the CSharpAPI #529

sfilipi · 2018-07-13T16:44:39Z

Resolves #389
Added more documentation and examples about mostly transforms components. (A few learners as well.)

The documentation for the classes involved in generating the entry points lives in the doc.xml documents, since it needs to be referenced from two locations, for the most part, and since the CSharpApi is auto-generated.

…les. For the summary text that is common between several learners, the examples will be added on a separate node. An example of how that will look like is in the LogisticRegressionBinaryClassifier and LogisticRegressionClassifier.

…espective projects.

changing the root of the XML documents from docs -> doc, since its only one. Switching all <see href /> to the valid <see cref />

sfilipi · 2018-07-13T16:48:45Z

I would suggest to mostly review the text in the doc.xml files.

I have marked this as WIP, because i need to do a final pass on extracting the examples separately from the nodes for the xml that is shared between two classes with different names, and only reference the example from the class with the corresponding name.

I will update the WIP tag, and close this comment once done.
#Resolved

TomFinley · 2018-07-13T19:47:41Z

src/Microsoft.ML.Data/Transforms/TermTransform.cs

+    // * Each column builds/uses exactly one "vocabulary" (dictionary).
+    // * Output columns are KeyType-valued.
+    // * The Key value is the one-based index of the item in the dictionary.
+    // * Not found is assigned the value zero.


We'll have to be careful here. Conceptually, the key-values are logically starting at 0, but physically valid values start at 1. I feel like this might not be the best place to talk about key-values unless you're really going to go into them, since otherwise it may be confusing. #Pending

Leaving it as is, since it is just a code comment for us.

In reply to: 202454960 [](ancestors = 202454960)

TomFinley · 2018-07-13T19:52:32Z

src/Microsoft.ML.StandardLearners/Microsoft.ML.StandardLearners.csproj

@@ -10,6 +10,7 @@
    <ProjectReference Include="..\Microsoft.ML.Core\Microsoft.ML.Core.csproj" />
    <ProjectReference Include="..\Microsoft.ML.CpuMath\Microsoft.ML.CpuMath.csproj" />
    <ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
+    <ProjectReference Include="..\Microsoft.ML.FastTree\Microsoft.ML.FastTree.csproj" />


[](start = 4, length = 84)

Is this necessary? Is this due to some sort of indirect dependency we have via depedency injection or somesuch? #Closed

it's actually PKPD referencing FastTree in the documentation through a that adds this project reference.
Removing the reference, and the see tag. Let me know if the opposite is desired.

In reply to: 202456059 [](ancestors = 202456059)

Yes I'd prefer to not have things like this result in dependencies. :)

In reply to: 202741801 [](ancestors = 202741801,202456059)

TomFinley · 2018-07-13T20:00:10Z

      The optimization technique used for LogisticRegression Classifier is the limited memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS).

Well, partially. The L1 regularization is actually a technique related but distinct from L-BFGS called OWL-QN. #Pending

Refers to: src/Microsoft.ML.StandardLearners/Standard/LogisticRegression/doc.xml:13 in db2592d. [](commit_id = db2592d, deletion_comment = False)

TomFinley · 2018-07-13T20:03:44Z

      This learner can use elastic net regularization: a linear combination of L1 (lasso) and L2 (ridge) regularizations.

LASSO is an acronym so I wonder if this should be capitalized? #Closed

Refers to: src/Microsoft.ML.StandardLearners/Standard/LogisticRegression/doc.xml:20 in db2592d. [](commit_id = db2592d, deletion_comment = False)

TomFinley · 2018-07-13T20:04:26Z

src/Microsoft.ML.FastTree/doc.xml

+      </summary>
+      <remarks>
+        In machine learning it is a pretty common and powerful approach to utilize the already trained model in the process of defining features.
+        <para>A most obvious example could be to use the model's scores as features to downstream models. For example, we might run clustering on the original features, 


A most obvious example [](start = 14, length = 22)

I feel like the words "most obvious" aren't adding to the description here. #Closed

TomFinley · 2018-07-13T20:05:27Z

src/Microsoft.ML.FastTree/doc.xml

+        <para>A most obvious example could be to use the model's scores as features to downstream models. For example, we might run clustering on the original features, 
+        and use the cluster distances as the new feature set.
+        Instead of consuming the model's output, we could go deeper, and extract the 'intermediate outputs' that are used to produce the final score. </para>
+        There's a number of famous or popular examples of this technique:


There's a number of famous or popular examples [](start = 8, length = 46)

Should be "There are ... examples" not "There is ... examples". #Closed

TomFinley · 2018-07-13T20:06:48Z

src/Microsoft.ML.FastTree/doc.xml

+      </remarks>
+      <example>
+        <code>
+          pipeline.Add(new TreeLeafFeaturizer())


pipeline.Add(new TreeLeafFeaturizer()) [](start = 10, length = 38)

This is very specific to the CSharpApi.cs code, and will be going away. We're going to need to remember to nuke it. With this going away, ought we to even bother especially since this doesn't seem terribly informative? #Pending

the comment would apply to all the examples. Keeping it, since leaving the documentation without any example would not look good.

In reply to: 202459319 [](ancestors = 202459319)

TomFinley · 2018-07-13T20:13:15Z

src/Microsoft.ML.StandardLearners/Standard/MultiClass/doc.xml

+          can be different from LightGbmClassifier, which develops a multi-class classifier directly. 
+        </para>
+      </remarks>
+      <seealso cref='Microsoft.ML.Trainers.LogisticRegressionClassifier'>LogisticRegressionClassifier</seealso>


LogisticRegressionClassifier [](start = 6, length = 105)

My expectation with <seealso tags is that they take the form <seealso cref="Foo"/> not <seealso cref="Foo">Foo</seealso>. That latter form, even if it were supported, I would discourage us from using because it will not track renames of the elements. #Closed

Switched to this when i needed the absolute name, because all the namespace repetition looked lousy. Agree that the renaming is more important, thought. switching back.

In reply to: 202460733 [](ancestors = 202460733)

TomFinley · 2018-07-13T20:14:54Z

src/Microsoft.ML.Transforms/doc.xml

+        <para>
+          This transform uses a set of aggregators to count the number of non-default values for each slot and
+          instantiates a <see cref="Microsoft.ML.Runtime.Data.DropSlotsTransform"/> to actually drop the slots.
+          This transform is useful when applied together with a CategoricalHashOneHotVectorizer. 


CategoricalHashOneHotVectorizer [](start = 64, length = 31)

Should this have a <see tag somehow? #Resolved

agree, but the compiler was complaining of not being able to find a reference to that class, although the cref of the see tag had absolute reference to the CategoricalHashOneHotVectorizer, starting from the namespace.
I'll check the proj references. Makes no sense to add a reference to the dll containing the C# API, though (if that will fix it ).

In reply to: 202461085 [](ancestors = 202461085)

@sfilipi There are a few ways to address this if you want the link to resolve but don't want to mess up code references. My favorite tends to be declaring an assembly reference but specifying <Aliases> to ensure the reference can't be readily used in code. This form allows for a compiler-validated cref that doesn't result in an assembly reference in the compiled assembly. I'll try to find an example.

A secondary way to resolve this is using a fully-expanded cref that the compiler simply passes through without validation, but that documentation tools know how to parse:

 <see cref="T:Fully.Qualified.Path.To.TypeName" /> ``` #Resolved

That's what was not working, actually.
I didn't specify the T: in the cref. I'll try that.
Thanks for the suggestion, though.

In reply to: 202780648 [](ancestors = 202780648)

TomFinley · 2018-07-13T20:17:13Z

src/Microsoft.ML.Transforms/NAReplaceTransform.cs

+    // Imputation modes are supported for vectors both by slot and across all slots.
+    // </summary>
+    // REVIEW: May make sense to implement the transform template interface.
+    /// <include file='doc.xml' path='doc/members/member[@name="NAReplace"]/*' />


I think the XML comments have to be tripple /// indented.

I think this // REVIEW comment might be messing up the XML parsing. Maybe it should go somewhere else (or even away, it's not adding much info). My suspicion is that this comment isn't actually being compiled into the docs. #Closed

Oh... wait were you trying to make it no longer an XML doc comment?

In that case you might want to take our those <summary> tags.

In reply to: 202461616 [](ancestors = 202461616)

TomFinley · 2018-07-13T20:21:35Z

src/Microsoft.ML.Transforms/Text/doc.xml

+
+    <member name="CharacterTokenizer">
+      <summary>
+        Character-oriented tokenizer where text is considered a sequence of characters. 


Character-oriented [](start = 8, length = 18)

There's something that seems a bit off about this description. "Character-oriented" is a strange description, in any case text is as far as I know always considered a sequence of characters, and at the end of this I don't really have a clear idea of what it's doing.

Maybe, "breaks text into individual tokens consisting of each individual character" might be a good description? #Closed

TomFinley · 2018-07-13T20:23:18Z

src/Microsoft.ML.Transforms/Text/doc.xml

+          </item>
+          <item>
+            <description>L-p vector normalization.</description>
+          </item>


Later in this document and I think in other documents you tended to do

<item><description>Foo</description></item>

vs.

<item> <description>Foo</description> </item>

The first form might make this list a little less voluminous and easier to read. #Closed

Zruty0 · 2018-07-17T22:15:53Z

src/Microsoft.ML.StandardLearners/Standard/MultiClass/doc.xml

+        These learner will request normalization from the data pipeline if the
+        classifier indicates it would benefit from it. Note that even if the
+        classifier indicates that it does not need caching, OVA will always
+        request caching, as it will be performing multiple passes over the data set.


This appears to be misplaced #Closed

Zruty0 · 2018-07-17T22:16:13Z

src/Microsoft.ML.StandardLearners/Standard/MultiClass/doc.xml

+    <example name="MultiClassNaiveBayesTrainer">
+      <example>
+        <code language="csharp">
+          pipeline.Add(new NaiveBayesClassifier(){ NormalizeFeatures = NormalizeOption.Auto, Caching = CachingOptions.Memory });


Same note about consistency between examples #Closed

Zruty0 · 2018-07-17T22:18:41Z

src/Microsoft.ML.StandardLearners/Standard/MultiClass/doc.xml

+    </example>
+
+    <member name="OVA">
+      <summary>


summary [](start = 7, length = 7)

I think the text below would make a great first paragraph of the remarks section, and summary should be one sentence along the lines of:

Trains a one-versus-all multi-class classifier on top of specified binary classifier. #Closed

Zruty0 · 2018-07-17T22:20:10Z

src/Microsoft.ML.StandardLearners/Standard/MultiClass/doc.xml

+        Prediction is then performed by running these binary classifiers, and choosing the prediction with the highest confidence score.
+      </summary>
+      <remarks>
+        <para>This algorithm can be treated as a wrapper for all the binary classifiers in ML.NET. 


can be treated as a wrapper for all [](start = 29, length = 35)

'can be used with any of' sounds more appropriate #Closed

Zruty0 · 2018-07-17T22:20:47Z

src/Microsoft.ML.StandardLearners/Standard/MultiClass/Pkpd.cs

@@ -31,6 +31,29 @@ namespace Microsoft.ML.Runtime.Learners
    using TDistPredictor = IDistPredictorProducing<Float, Float>;
    using CR = RoleMappedSchema.ColumnRole;

+    /// <summary>


summary [](start = 9, length = 7)

Why here? #Closed

there's no entry point for it. it is only needed here.

In reply to: 203200111 [](ancestors = 203200111)

Zruty0 · 2018-07-17T22:23:38Z

src/Microsoft.ML.Transforms/doc.xml

+        Here p(x,y) is the joint probability density function of X and Y, p(x) and p(y) are the marginal probability density functions of X and Y respectively. 
+        In general, a higher mutual information between the dependent variable (or label) and an independent variable (or feature) means 
+        that the label has higher mutual dependence over that feature.
+        The mutual information feature selection mode selects the features based on the mutual information. 


This sounds like a tautology to me. #Closed

it's not adding to the understanding either. Removing it.

In reply to: 203200715 [](ancestors = 203200715)

Zruty0 · 2018-07-17T22:24:09Z

src/Microsoft.ML.Transforms/doc.xml

+      </example>
+    </example>
+
+    <member name="MutualInformationFeatureSelection">


MutualInformationFeatureSelection [](start = 18, length = 33)

Duplicate? #Closed

Zruty0 · 2018-07-17T22:25:09Z

src/Microsoft.ML.Transforms/doc.xml

+      </remarks>
+      <example>
+        <code language="csharp">
+          pipeline.Add(new FeatureSelectorByMutualInformation() { Column = new[]{ &quot;Feature1&quot;}, SlotsInOutput = 6 });


new[] [](start = 75, length = 5)

does it have to be an array? That's unfortunate #Closed

it's a string[]

In reply to: 203201036 [](ancestors = 203201036)

Zruty0 · 2018-07-17T22:25:56Z

src/Microsoft.ML.Transforms/doc.xml

+    </member>
+
+    <member name="OptionalColumnTransform">
+      <summary>


summary [](start = 7, length = 7)

this should probably go into remarks?
The summary could then be

Creates a new column with the specified type and default values. ``` #Closed

Zruty0 · 2018-07-17T22:27:32Z

src/Microsoft.ML.Transforms/doc.xml

+        </para>
+        <para>
+          When computing the mean/max/min value, there is also an option to compute it over the whole column instead of per slot.
+          This option has a default value of true for variable length vectors, and false for known length vectors.


Ooooh, I remember that... Not a source of confusion at all... #Closed

Zruty0 · 2018-07-17T22:28:33Z

src/Microsoft.ML.Transforms/doc.xml

+        Un-groups vector columns into sequences of rows, inverse of Group transform.
+       </summary>
+      <remarks>
+        <para>This can be thought of as an inverse of the CombinerByContiguousGroupId. 


CombinerByContiguousGroupId [](start = 58, length = 27)

link? #Closed

Zruty0 · 2018-07-17T22:31:12Z

src/Microsoft.ML.Transforms/doc.xml

+    </example>
+
+    <member name="KeyToText">
+      <summary>


summary [](start = 7, length = 7)

I suggest

Transforms keys in a key column into the corresponding values

The fact that it is using the metadata looks like implementation detail to me #Closed

Looks good

In reply to: 203202293 [](ancestors = 203202293)

Zruty0 · 2018-07-17T22:32:22Z

src/Microsoft.ML.Transforms/doc.xml

+       The resulting data will have all the group key columns preserved, 
+       and the aggregated columns will become variable-length vectors of the original types.
+       <para>This transform essentially performs the following SQL-like operation:</para> 
+       <para>GroupKey1, GroupKey2, ... GroupKeyK, LIST(Value1), LIST(Value2), ... LIST(ValueN)</para> 


para [](start = 8, length = 4)

I think you missed the SELECT keyword #Closed

Zruty0 · 2018-07-17T22:33:04Z

src/Microsoft.ML.Transforms/UngroupTransform.cs

+    // 
+    // All metadata is preserved for the retained columns. For 'unrolled' columns, all known metadata
+    // except slot names is preserved.
+    /// <include file='doc.xml' path='doc/members/member[@name="Ungroup"]/*' />


include [](start = 9, length = 7)

Why do we have both text and include here? #Closed

I left the comment where they were in the original places, just made them comments instead of documentation - style comments, to avoid having someone working on the code having to open the doc and read through it.

The text in the doc was better worded that the actual comment in the code.

In reply to: 203202675 [](ancestors = 203202675)

Zruty0 · 2018-07-17T22:35:48Z

src/Microsoft.ML.Transforms/Text/doc.xml

+    </example>
+
+    <member name="WordTokenizer">
+      <summary>


summary [](start = 7, length = 7)

again, this would make a good first paragraph in remarks, and the summary could be

Splits the text into words using the separator character(s). ``` #Closed

I don't see the changes done, only one sentence is gone.

In reply to: 203203181 [](ancestors = 203203181)

thanks for catching.

In reply to: 203513343 [](ancestors = 203513343,203203181)

Zruty0

🕐

Zruty0 · 2018-07-18T18:48:26Z

    This classifier is a trainer based on the Stochastic DualCoordinate Ascent(SDCA) method, a state-of-the-art optimization technique for convex objective functions.

Sorry, I wasn't clear. DualCoordinate should be replaced with dual coordinate. convex objective functions is good.

In reply to: 405745390 [](ancestors = 405745390)

Refers to: src/Microsoft.ML.StandardLearners/Standard/doc.xml:10 in 6f45e69. [](commit_id = 6f45e69, deletion_comment = False)

Zruty0

Zruty0

…ting the CSharpAPI (dotnet#529) * Moving from xml strings to having the documentation details in xml files. For the summary text that is common between several learners, the examples will be added on a separate node. An example of how that will look like is in the LogisticRegressionBinaryClassifier and LogisticRegressionClassifier. * fixing the aftermath of renaming the XML file. * removing the Desc from the EntryPoint attribute is a bad idea. * removing the XML docs from the doc folder, and added them under the respective projects. * Some OS get picky about casing. * file name should be vanilla * Adding documentation for the first group of transforms * adding more documentation. changing the root of the XML documents from docs -> doc, since its only one. Switching all <see href /> to the valid <see cref /> * formatting tweaks, and adressing most of the code comments. * Extracted the examples outside of the member nodes in the xml, so that they only appear in the CSharpApi classes, and not on the runtime classes. * small fixes * addressing code comments * addressing Pete's comments. * Fixing language around the CharTokenizer description. Closes dotnet#389

sfilipi added 11 commits July 9, 2018 10:39

Merge branch 'master' into transformsDocs

8b7f416

fixing the aftermath of renaming the XML file.

266952c

removing the Desc from the EntryPoint attribute is a bad idea.

0b17a0b

removing the XML docs from the doc folder, and added them under the r…

98ffc79

…espective projects.

Some OS get picky about casing.

6854c9a

file name should be vanilla

5f52db8

Adding documentation for the first group of transforms

c6ee265

merging from master

dc01215

adding more documentation.

781293d

changing the root of the XML documents from docs -> doc, since its only one. Switching all <see href /> to the valid <see cref />

Merge branch 'master' into transformsDocs2

db2592d

sfilipi requested review from codemzs, Ivanidzo4ka, GalOshri, shauheen, TomFinley and yaeldekel July 13, 2018 16:44

TomFinley reviewed Jul 13, 2018

View reviewed changes

Zruty0 reviewed Jul 17, 2018

View reviewed changes

Zruty0 suggested changes Jul 17, 2018

View reviewed changes

addressing code comments

7f5ac2b

addressing Pete's comments.

43f6540

Zruty0 approved these changes Jul 18, 2018

View reviewed changes

sfilipi added 2 commits July 18, 2018 16:10

Fixing language around the CharTokenizer description.

6484255

resolving merge conflicts

cb96a7f

sfilipi merged commit 839bd6d into dotnet:master Jul 18, 2018

sfilipi deleted the transformsDocs2 branch July 18, 2018 23:45

This was referenced Aug 2, 2018

Proposal: allow 'href' attributes (particularly in <see> and <seealso> elements) dotnet/csharplang#1764

Open

Proposal: do not require <description> in <list> without <term> dotnet/csharplang#1765

Open

sfilipi mentioned this pull request Oct 9, 2018

Add documentation for Field-Aware Factorization Machine #406

Closed

ghost locked as resolved and limited conversation to collaborators Mar 29, 2022

Adding documentation about the rest of the classes involved on generating the CSharpAPI #529

Adding documentation about the rest of the classes involved on generating the CSharpAPI #529

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