This is a sample term that doesn’t do anything real in machine learning glossary. The point is to test the HTML we’re generating.

H1 header

Text below H1 header.

H2 header

Text below H2 header.

H3 header

Text below H3 header.

H4 header

Text below H4 header.

H5 header

Text below H5 header.

H6 header

This is some inline math ($\int_{-\inf}^{+\inf} x^2$) here.

Now we have some math in the center of the page:

\[ \int_{-\inf}^{+\inf} x^2 \]

This is an important multi-line blockquote, containing lots of useful information.

Here we use backticks to show some inline code.

This is a code block.

This is another code block

def some_code(arg1, arg2):
    """
    This is a fenced code block with syntax highlighting.
    """
    return arg1 + arg2

Now we will show an image:

This is a facet wrap as generated by the R package ggplot2. This image comes from [Plotting multiple groups with facets in ggplot2][1]. — This is a facet wrap as generated by the R package `ggplot2`. This image comes from [Plotting multiple groups with facets in ggplot2][1].

Now we will show some annoying custom HTML that we had to write:

Vincent Van Gogh's famous artwork titled 'The Starry Night' — **Top Left:** Vincent Van Gogh’s famous artwork titled *The Starry Night*

**Top Right:** A photograph of Hoover Tower on the Stanford University campus

**Bottom:** A synthetic image generated by Justin Johnson that depicts Stanford University’s Hoover Tower using the style of Vincent van Gogh’s *The Starry Night*

**Top Left:** Vincent Van Gogh’s famous artwork titled *The Starry Night*

**Top Right:** A photograph of Hoover Tower on the Stanford University campus

**Bottom:** A synthetic image generated by Justin Johnson that depicts Stanford University’s Hoover Tower using the style of Vincent van Gogh’s *The Starry Night*

Now we need some bullet points:

skip-gram, using a word to predict the surrounding $n$ words
continuous-bag-of-words (CBOW), using the context of the surrounding $n$ words to predict the center word.

How about we use a numbered list instead:

First cool thing: This is the first thing that is cool.
Second cool thing: This thing is even cooler.

This is a somewhat complicated list:

First
Second:
- Fee
- Fie
- Foe
Third

Definition list

Term 1

Definition 1

Term 2 with inline markup

Definition 2

{ some code, part of Definition 2 }

Third paragraph of definition 2.

Now we will try compact definition lists

Term 1: Definition 1
Term 2: Definition 2a; Definition 2b

Numbered example lists:

My first example will be numbered (1).
My second example will be numbered (2).

Explanation of examples.

My third example will be numbered (3).

Line blocks:

The limerick packs laughs anatomical
In space that is quite economical.
But the good ones I’ve seen
So seldom are clean
And the clean ones so seldom are comical

Now we will show off a table

	Actual Positive	Actual Negative
Predicted Positive	True Positives	False Positives
Predicted Negative	False Negatives	True Negatives

How about another table?

Sample grid table.
Fruit	Price	Advantages
Bananas	$1.34	built-in wrapper bright color
Oranges	$2.10	cures scurvy tasty

Here is a simpler table:

12	12	12	12
123	123	123	123
1	1	1	1

Here’s the caption. It, too, may span multiple lines.
Centered Header	Default Aligned	Right Aligned	Left Aligned
First	row	12.0	Example of a row that spans multiple lines.
Second	row	5.0	Here’s another one. Note the blank line between rows.

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Sample term