**Monthly Downloads**: 10

**Programming language**: Haskell

**License**: BSD 3-clause "New" or "Revised" License

## README

## record-encode

## Encoding categorical variables

This library provides generic machinery to encode values of some algebraic type as points in a vector space.

Values of a sum type (e.g. enumerations) are also called "categorical" variables in statistics, because they encode a choice between a number of discrete categories.

On the other hand, many data science / machine learning algorithms rely on a purely numerical representation of data; the conversion code from values of a static type is often "boilerplate", i.e. largely repeated and not informative.

The `encodeOneHot`

function provided here is a generic utility function (i.e. defined once and for all) to compute the one-hot representation of any sum type.

## Usage example

```
{-# language DeriveGeneric -#}
import qualified GHC.Generics as G
import qualified Generics.SOP as SOP
import Data.Record.Encode
data X = A | B | C deriving (G.Generic)
instance SOP.Generic X
```

```
> encodeOneHot B
OH {oDim = 3, oIx = 1}
```

Please refer to the documentation of Data.Record.Encode for more examples and details.

## Acknowledgements

Gagandeep Bhatia (@gagandeepb) for his Google Summer of Code 2018 work on `Frames-beam`

, Mark Karpov (@mrkkrp) for his Template Haskell tutorial, Anthony Cowley (@acowley) for `Frames`

, @mniip on Freenode #haskell for helping me better understand what can be done with generic programming.