# onehotencode

Encode data labels into one-hot vectors

## Syntax

## Description

encodes data labels in categorical array `B`

= onehotencode(`A`

,`featureDim`

)`A`

into a one-hot encoded array
`B`

. The function replaces each element of `A`

with a
numeric vector of length equal to the number of unique classes in `A`

along
the dimension specified by `featureDim`

. The vector contains a
`1`

in the position corresponding to the class of the label in
`A`

, and a `0`

in every other position. Any
`<undefined>`

values are encoded to `NaN`

values.

encodes categorical data labels in table `tblB`

= onehotencode(`tblA`

)`tblA`

into a table of one-hot
encoded numeric values. The function replaces the single variable of `tblA`

with as many variables as the number of unique classes in `tblA`

. Each row in
`tblB`

contains a `1`

in the variable corresponding to
the class of the label in `tlbA`

, and a `0`

in all other
variables.

`___ = onehotencode(___,`

encodes the labels into numeric values of data type `typename`

)`typename`

. Use this syntax with any of the input and output arguments in previous syntaxes.

`___ = onehotencode(___,'ClassNames',`

also specifies the names of the classes to use for encoding. Use this syntax when
`classes`

)`A`

or `tblA`

does not contain categorical values,
when you want to exclude any class labels from being encoded, or when you want to encode the
vector elements in a specific order. Any label in `A`

or
`tblA`

of a class that does not exist in `classes`

is
encoded to a vector of `NaN`

values.

## Examples

## Input Arguments

## Output Arguments

## See Also

**Introduced in R2020b**