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https://github.com/feedzai/feedzai-openml-r
Implementations for Feedzai's OpenML APIs to allow for usage of machine learning models in the R programming language.
https://github.com/feedzai/feedzai-openml-r
caret data-science feedzai machine-learning machine-learning-algorithms openml r rserve
Last synced: 9 days ago
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Implementations for Feedzai's OpenML APIs to allow for usage of machine learning models in the R programming language.
- Host: GitHub
- URL: https://github.com/feedzai/feedzai-openml-r
- Owner: feedzai
- License: other
- Created: 2018-06-07T10:55:19.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-04-26T16:29:32.000Z (over 3 years ago)
- Last Synced: 2024-04-23T02:26:16.176Z (8 months ago)
- Topics: caret, data-science, feedzai, machine-learning, machine-learning-algorithms, openml, r, rserve
- Language: Java
- Homepage: https://www.feedzai.com
- Size: 351 KB
- Stars: 5
- Watchers: 17
- Forks: 3
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# Feedzai OpenML Provider for R
[](https://travis-ci.com/feedzai/feedzai-openml-r)
[](https://codecov.io/gh/feedzai/feedzai-openml-r)
[](https://www.codacy.com/app/feedzai/feedzai-openml-r?utm_source=github.com&utm_medium=referral&utm_content=feedzai/feedzai-openml-r&utm_campaign=Badge_Grade)
Implementations of the Feedzai OpenML API to allow support for machine
learning models in the [R programming language](https://www.r-project.org/)
using [RServe](https://www.rforge.net/Rserve/doc.html).
## Modules
### Generic R
[](https://mvnrepository.com/artifact/com.feedzai/openml-generic-r)
The `openml-generic-r` module contains a provider that allows
developers to load R code that conforms to a simple API.
This is the most powerful approach (yet more cumbersome) since models
can actually hold state.
The provider can be pulled from Maven Central:
```xml
com.feedzai
openml-generic-r
0.4.0
```
### Caret
[](https://mvnrepository.com/artifact/com.feedzai/openml-caret)
The implementation in the `openml-caret` module adds support for models built with
[Caret](https://topepo.github.io/caret/index.html).
This module can be pulled from Maven Central:
```xml
com.feedzai
openml-caret
0.4.0
```
## Building
This is a Maven project which you can build using
```bash
mvn clean install
```
## Prerequisites for running tests
To use these providers you need to have [R Project](https://www.r-project.org/) installed in your environment.
After installing R, you need to install the R packages that the provider uses. The easiest way is to install them from [CRAN](https://cran.r-project.org/).
Note that this section only describes the known prerequisites that are common to any model generated in R.
Before importing a model you need to ensure that the required packages for that model are also installed.
Finally you must install Rserve.
### Example in CentOS7:
Execute the following bash commands:
```bash
# repo that has R
yum -y install epel-release;
# needed for R dependencies
yum -y install libcurl-devel openssl-devel gsl-devel libwebp-devel librsvg2-devel R;
# start R
R
```
Execute the following R instructions:
```
# Load caret
install.packages("caret", dependencies=TRUE, repos = "http://cran.radicaldevelop.com/")
# Load all classification model implementations
# https://topepo.github.io/caret/available-models.html
# https://github.com/tobigithub/caret-machine-learning/wiki/caret-ml-setup
library(caret)
modNames <- unique(modelLookup()[modelLookup()\$forClass,c(1)])
install.packages(modNames, dependencies=TRUE, repos = "http://cran.radicaldevelop.com/")
# Load Rserve (needed for Pulse <-> R communication)
install.packages("Rserve", dependencies=TRUE, repos = "http://cran.radicaldevelop.com/"})
```
### Docker
Feedzai has built a helpful docker image for testing, [available on docker hub](https://hub.docker.com/r/feedzai/rserve-caret/),
that is being used in this repository's continuous integration. See the [travis-ci configuration](.travis.yml) commands
on how to use it.