https://github.com/nignatiadis/statsdiscretizations.jl

https://github.com/nignatiadis/statsdiscretizations.jl

Last synced: 26 days ago
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• Host: GitHub
• URL: https://github.com/nignatiadis/statsdiscretizations.jl
• Owner: nignatiadis
• License: mit
• Created: 2021-03-11T00:07:31.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2024-05-21T06:17:02.000Z (8 months ago)
• Last Synced: 2024-11-21T09:05:44.251Z (about 2 months ago)
• Language: Julia
• Size: 119 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# StatsDiscretizations

[![Build Status](https://github.com/nignatiadis/StatsDiscretizations.jl/workflows/CI/badge.svg)](https://github.com/nignatiadis/StatsDiscretizations.jl/actions)

[![Coverage](https://codecov.io/gh/nignatiadis/StatsDiscretizations.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/nignatiadis/StatsDiscretizations.jl)

Julia package to simplify discretization operations that are routine in statistical tasks. The key idea of the package is that a lot of statistical operations

can be simplified by giving first class support to Intervals from the [IntervalSets.jl](https://github.com/JuliaMath/IntervalSets.jl) package.

## Discretizers

Let ℐ the set of all intervals on ℝ. The key idea is that a `discretizer` acts as a function from ( subset of ) ℝ ∪ ℐ ↦ ℐ with the following properties:

* Callable as `discretizer(z)` and broadcastable `discretizer.(zs)`.

* Returns intervals: `typeof(discretizer(z)) <: AbstractInterval`.

* Idempotent: `discretizer(discretizer(z)) == discretizer(z)`.

The discretizers that are currently implemented are the following

### `RealLineDiscretizer{:open,:closed}(grid), RealLineDiscretizer{:closed,:open}(grid)`

This is a discretizer that partitions the whole real line into intervals with breakpoints at `grid`. For example:

```julia

julia> using StatsDiscretizations

julia> discr = RealLineDiscretizer{:open,:closed}(-2:0.1:2)

julia> discr(-5)

-Inf..-2.0 (open–closed)

julia> discr(0.05)

0.0..0.1 (open–closed)

julia> discr(0.00)

-0.1..0.0 (open–closed)

```