Line length Open
The **time complexity** of this algorithm is `O(n)` for each classification, where `n` is the number of data points. The **space complexity** is `O(n)` as well, since we are storing the distances and labels for each data point. The algorithm is **non-parametric**, meaning it does not make any assumptions about the underlying data distribution. It is also **lazy**, as it does not require a training phase, making it suitable for online learning scenarios.
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MD013 - Line length
Tags: line_length
Aliases: line-length Parameters: linelength, codeblocks, tables (number; default 80, boolean; default true)
This rule is triggered when there are lines that are longer than the configured line length (default: 80 characters). To fix this, split the line up into multiple lines.
This rule has an exception where there is no whitespace beyond the configured line length. This allows you to still include items such as long URLs without being forced to break them in the middle.
You also have the option to exclude this rule for code blocks and tables. To
do this, set the code_blocks
and/or tables
parameters to false.
Code blocks are included in this rule by default since it is often a requirement for document readability, and tentatively compatible with code rules. Still, some languages do not lend themselves to short lines.
Line length Open
The [K-nearest neighbors](https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm) algorithm is a **simple, instance-based learning algorithm** used for classification and regression tasks. It classifies a data point based on the majority class of its `k` nearest neighbors in a feature space.
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MD013 - Line length
Tags: line_length
Aliases: line-length Parameters: linelength, codeblocks, tables (number; default 80, boolean; default true)
This rule is triggered when there are lines that are longer than the configured line length (default: 80 characters). To fix this, split the line up into multiple lines.
This rule has an exception where there is no whitespace beyond the configured line length. This allows you to still include items such as long URLs without being forced to break them in the middle.
You also have the option to exclude this rule for code blocks and tables. To
do this, set the code_blocks
and/or tables
parameters to false.
Code blocks are included in this rule by default since it is often a requirement for document readability, and tentatively compatible with code rules. Still, some languages do not lend themselves to short lines.
Line length Open
excerpt: Implement the K-nearest neighbors algorithm in JavaScript to classify a data point relative to a labelled data set.
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MD013 - Line length
Tags: line_length
Aliases: line-length Parameters: linelength, codeblocks, tables (number; default 80, boolean; default true)
This rule is triggered when there are lines that are longer than the configured line length (default: 80 characters). To fix this, split the line up into multiple lines.
This rule has an exception where there is no whitespace beyond the configured line length. This allows you to still include items such as long URLs without being forced to break them in the middle.
You also have the option to exclude this rule for code blocks and tables. To
do this, set the code_blocks
and/or tables
parameters to false.
Code blocks are included in this rule by default since it is often a requirement for document readability, and tentatively compatible with code rules. Still, some languages do not lend themselves to short lines.
Line length Open
1. Use `Array.prototype.map()` to map the `data` to objects. Each object contains the [**Euclidean distance**](/js/s/euclidean-distance) of the element from `point`, calculated using `Math.hypot()`, `Object.keys()` and its `label`.
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MD013 - Line length
Tags: line_length
Aliases: line-length Parameters: linelength, codeblocks, tables (number; default 80, boolean; default true)
This rule is triggered when there are lines that are longer than the configured line length (default: 80 characters). To fix this, split the line up into multiple lines.
This rule has an exception where there is no whitespace beyond the configured line length. This allows you to still include items such as long URLs without being forced to break them in the middle.
You also have the option to exclude this rule for code blocks and tables. To
do this, set the code_blocks
and/or tables
parameters to false.
Code blocks are included in this rule by default since it is often a requirement for document readability, and tentatively compatible with code rules. Still, some languages do not lend themselves to short lines.
Line length Open
3. Use `Array.prototype.reduce()` in combination with `Object.keys()` and `Array.prototype.indexOf()` to find the **most frequent** `label` among them.
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MD013 - Line length
Tags: line_length
Aliases: line-length Parameters: linelength, codeblocks, tables (number; default 80, boolean; default true)
This rule is triggered when there are lines that are longer than the configured line length (default: 80 characters). To fix this, split the line up into multiple lines.
This rule has an exception where there is no whitespace beyond the configured line length. This allows you to still include items such as long URLs without being forced to break them in the middle.
You also have the option to exclude this rule for code blocks and tables. To
do this, set the code_blocks
and/or tables
parameters to false.
Code blocks are included in this rule by default since it is often a requirement for document readability, and tentatively compatible with code rules. Still, some languages do not lend themselves to short lines.
Line length Open
This implementation classifies a data point relative to a labelled data set, using the K-nearest neighbors algorithm. The `data` is expected to be an array of objects, where each object represents a data point with its features. The `labels` are an array of the corresponding classes for each data point.
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MD013 - Line length
Tags: line_length
Aliases: line-length Parameters: linelength, codeblocks, tables (number; default 80, boolean; default true)
This rule is triggered when there are lines that are longer than the configured line length (default: 80 characters). To fix this, split the line up into multiple lines.
This rule has an exception where there is no whitespace beyond the configured line length. This allows you to still include items such as long URLs without being forced to break them in the middle.
You also have the option to exclude this rule for code blocks and tables. To
do this, set the code_blocks
and/or tables
parameters to false.
Code blocks are included in this rule by default since it is often a requirement for document readability, and tentatively compatible with code rules. Still, some languages do not lend themselves to short lines.
Line length Open
2. Use `Array.prototype.sort()` and `Array.prototype.slice()` to get the `k` **nearest neighbors** of `point`.
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MD013 - Line length
Tags: line_length
Aliases: line-length Parameters: linelength, codeblocks, tables (number; default 80, boolean; default true)
This rule is triggered when there are lines that are longer than the configured line length (default: 80 characters). To fix this, split the line up into multiple lines.
This rule has an exception where there is no whitespace beyond the configured line length. This allows you to still include items such as long URLs without being forced to break them in the middle.
You also have the option to exclude this rule for code blocks and tables. To
do this, set the code_blocks
and/or tables
parameters to false.
Code blocks are included in this rule by default since it is often a requirement for document readability, and tentatively compatible with code rules. Still, some languages do not lend themselves to short lines.
First header should be a top level header Open
## Definition
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MD002 - First header should be a top level header
Tags: headers
Aliases: first-header-h1
Parameters: level (number; default 1)
This rule is triggered when the first header in the document isn't a h1 header:
## This isn't a H1 header
### Another header
The first header in the document should be a h1 header:
# Start with a H1 header
## Then use a H2 for subsections
Ordered list item prefix Open
4. Return the most frequent `label` as the **classification** of `point`.
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MD029 - Ordered list item prefix
Tags: ol
Aliases: ol-prefix
Parameters: style ("one", "ordered"; default "one")
This rule is triggered on ordered lists that do not either start with '1.' or do not have a prefix that increases in numerical order (depending on the configured style, which defaults to 'one').
Example valid list if the style is configured as 'one':
1. Do this.
1. Do that.
1. Done.
Example valid list if the style is configured as 'ordered':
1. Do this.
2. Do that.
3. Done.
Ordered list item prefix Open
2. Use `Array.prototype.sort()` and `Array.prototype.slice()` to get the `k` **nearest neighbors** of `point`.
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MD029 - Ordered list item prefix
Tags: ol
Aliases: ol-prefix
Parameters: style ("one", "ordered"; default "one")
This rule is triggered on ordered lists that do not either start with '1.' or do not have a prefix that increases in numerical order (depending on the configured style, which defaults to 'one').
Example valid list if the style is configured as 'one':
1. Do this.
1. Do that.
1. Done.
Example valid list if the style is configured as 'ordered':
1. Do this.
2. Do that.
3. Done.
Ordered list item prefix Open
3. Use `Array.prototype.reduce()` in combination with `Object.keys()` and `Array.prototype.indexOf()` to find the **most frequent** `label` among them.
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MD029 - Ordered list item prefix
Tags: ol
Aliases: ol-prefix
Parameters: style ("one", "ordered"; default "one")
This rule is triggered on ordered lists that do not either start with '1.' or do not have a prefix that increases in numerical order (depending on the configured style, which defaults to 'one').
Example valid list if the style is configured as 'one':
1. Do this.
1. Do that.
1. Done.
Example valid list if the style is configured as 'ordered':
1. Do this.
2. Do that.
3. Done.