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https://github.com/juliaai/statisticaltraits.jl

Last synced: 7 days ago
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Host: GitHub
URL: https://github.com/juliaai/statisticaltraits.jl
Owner: JuliaAI
License: other
Created: 2021-01-22T09:27:13.000Z (almost 4 years ago)
Default Branch: dev
Last Pushed: 2024-06-27T05:18:08.000Z (5 months ago)
Last Synced: 2024-06-28T06:13:34.821Z (5 months ago)
Language: Julia
Size: 48.8 KB
Stars: 3
Watchers: 5
Forks: 2
Open Issues: 1
Metadata Files:
- Readme: README.md

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README

        # StatisticalTraits.jl

|  Linux        | Coverage |

| :-----------: | :------: |

| [![Build status](https://github.com/JuliaAI/StatisticalTraits.jl/workflows/CI/badge.svg)](https://github.com/JuliaAI/StatisticalTraits.jl/actions)| [![codecov](https://codecov.io/gh/JuliaAI/StatisticalTraits.jl/branch/master/graph/badge.svg?token=rh6HnyIKc1)](https://codecov.io/gh/JuliaAI/StatisticalTraits.jl) |

A light-weight package defining fall-back implementations for a

collection of traits possessed by statistical objects. Here a "trait"

is a function with a single argument that is a julia type, which might

encode type metadata for inspection, or for use in function

dispatch. 

Here are two examples, which might apply to both statistical

model types and loss function types:

```julia

target_scitype(::Type) = Unknown

prediction_type(::Type) = :unknown # also :probablistic, :deterministic, :interval

```

Here `Unknown` is a type defined in the light-weight package

[ScientificTypesBase.jl](https://github.com/JuliaAI/ScientificTypesBase.jl),

the only dependency of StatsTraits.jl.

Refer to [source code](src/StatisticalTraits.jl) for a complete list.

The traits defined here are overloaded by assorted model types and

measure types in the

[MLJ](https://github.com/alan-turing-institute/MLJ.jl) universe

(examples of measures are loss functions and scoring rules). However,

this small package might be of independent interest.

A planned StatisticalMeasures.jl package, to contain measures

currently in

[MLJBase.jl](https://github.com/JuliaAI/MLJBase.jl),

will have this package as a dependency, allowing it to be independent

of the MLJ packages.