https://github.com/jemus42/xplainvi

A very early and experimental bit of trying something out.
https://github.com/jemus42/xplainvi

Last synced: about 1 month ago
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A very early and experimental bit of trying something out.

• Host: GitHub
• URL: https://github.com/jemus42/xplainvi
• Owner: jemus42
• License: other
• Created: 2024-04-19T14:03:30.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-05-03T13:21:01.000Z (7 months ago)
• Last Synced: 2024-05-04T14:34:19.059Z (7 months ago)
• Language: R
• Homepage: https://jemus42.github.io/xplainvi/
• Size: 501 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# xplainvi

[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)

[![R-CMD-check](https://github.com/jemus42/xplainvi/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/jemus42/xplainvi/actions/workflows/R-CMD-check.yaml)

The goal of xplainvi is to collect feature importance methods.  

For now, it is built specifically around [mlr3](https://mlr-org.com/), as available abstractions for learners, tasks, measures, etc. greatly simplify the implementation of importance measures.

## Installation

You can install the development version of xplainvi like so:

``` r

# install.packages(pak)

pak::pak("jemus42/xplainvi")

```

## Example

This is a basic example which shows you how to solve a common problem:

```{r example}

library(xplainvi)

## basic example code

```