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[MINOR][DOC] Fix a few markdown typos #20897

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[MINOR][DOC] Fix a few markdown typos #20897

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[MINOR][DOC] Fix a few markdown typos
Mar 24, 2018
643e607
[MINOR] remove backquotes in markdown title
Apr 2, 2018
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2 changes: 1 addition & 1 deletion docs/ml-guide.md
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Expand Up @@ -111,7 +111,7 @@ and the migration guide below will explain all changes between releases.
* The class and trait hierarchy for logistic regression model summaries was changed to be cleaner
and better accommodate the addition of the multi-class summary. This is a breaking change for user
code that casts a `LogisticRegressionTrainingSummary` to a
` BinaryLogisticRegressionTrainingSummary`. Users should instead use the `model.binarySummary`
`BinaryLogisticRegressionTrainingSummary`. Users should instead use the `model.binarySummary`
method. See [SPARK-17139](https://issues.apache.org/jira/browse/SPARK-17139) for more detail
(_note_ this is an `Experimental` API). This _does not_ affect the Python `summary` method, which
will still work correctly for both multinomial and binary cases.
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4 changes: 2 additions & 2 deletions docs/mllib-feature-extraction.md
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Expand Up @@ -278,8 +278,8 @@ for details on the API.
multiplication. In other words, it scales each column of the dataset by a scalar multiplier. This
represents the [Hadamard product](https://en.wikipedia.org/wiki/Hadamard_product_%28matrices%29)
between the input vector, `v` and transforming vector, `scalingVec`, to yield a result vector.
Qu8T948*1#
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@jkbradley, would you mind if I ask this was mistakenly written for sure?

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@HyukjinKwon If the original author did not reply, you can look at my latest reply and confirm this confused character sequence.

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he is an active commiter / pmc. let's wait for few more days before we go ahead.

Denoting the `scalingVec` as "`w`," this transformation may be written as:

Denoting the `scalingVec` as "`w`", this transformation may be written as:

`\[ \begin{pmatrix}
v_1 \\
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4 changes: 2 additions & 2 deletions docs/mllib-pmml-model-export.md
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Expand Up @@ -7,15 +7,15 @@ displayTitle: PMML model export - RDD-based API
* Table of contents
{:toc}

## `spark.mllib` supported models
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backquotes in mds cause display problems (see http://spark.apache.org/docs/latest/mllib-pmml-model-export.html)

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nice

## spark.mllib supported models

`spark.mllib` supports model export to Predictive Model Markup Language ([PMML](http://en.wikipedia.org/wiki/Predictive_Model_Markup_Language)).

The table below outlines the `spark.mllib` models that can be exported to PMML and their equivalent PMML model.

<table class="table">
<thead>
<tr><th>`spark.mllib` model</th><th>PMML model</th></tr>
<tr><th>spark.mllib model</th><th>PMML model</th></tr>
</thead>
<tbody>
<tr>
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