Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/feedzai/feedzai-openml-python
Python-based Feedzai OpenML Providers
https://github.com/feedzai/feedzai-openml-python
feedzai openml python scikit scikit-learn
Last synced: 27 days ago
JSON representation
Python-based Feedzai OpenML Providers
- Host: GitHub
- URL: https://github.com/feedzai/feedzai-openml-python
- Owner: feedzai
- License: other
- Created: 2018-06-12T08:32:28.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-07-17T00:16:37.000Z (over 1 year ago)
- Last Synced: 2024-09-27T20:22:41.889Z (about 1 month ago)
- Topics: feedzai, openml, python, scikit, scikit-learn
- Language: Java
- Homepage: https://www.feedzai.com
- Size: 176 KB
- Stars: 6
- Watchers: 13
- Forks: 6
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# Feedzai OpenML Providers for Python
[](https://travis-ci.com/feedzai/feedzai-openml-python)
[](https://codecov.io/gh/feedzai/feedzai-openml-python)
[](https://www.codacy.com/app/feedzai/feedzai-openml-python?utm_source=github.com&utm_medium=referral&utm_content=feedzai/feedzai-openml-python&utm_campaign=Badge_Grade)
Implementations of the Feedzai OpenML API to allow support for machine
learning models in [Python](https://www.python.org/)
using [Java Embedded Python](https://github.com/ninia/jep).
## Modules
### Generic Python
[](https://mvnrepository.com/artifact/com.feedzai/openml-generic-python)
The `openml-generic-python` module contains a provider that allows
developers to load Python code that conforms to a simple API.
This is the most powerful approach (yet more cumbersome) since models
can actually hold state.
Pull the provider from Maven Central:
```xml
com.feedzai
openml-generic-python
0.3.0
```
### Scikit-learn
[](https://mvnrepository.com/artifact/com.feedzai/openml-scikit)
The implementation in the `openml-scikit` module adds support for models built with
[scikit-learn](http://scikit-learn.org/stable/index.html).
Pull this module from Maven Central:
```xml
com.feedzai
openml-scikit
0.3.0
```
## Building
This is a Maven project which you can build using the following command:
```bash
mvn clean install
```
## Environment
To use these providers you need to have Python 3.6 with the following packages installed in your environment:
* numpy
* scipy
* jep (this requires JAVA_HOME to be configured)
* scikit-learn (for the scikit provider)
Note that this section only describes the known prerequisites that are common to any model generated in Python.
Before importing a model you need to ensure that the required packages for that model are also installed.
## Running the tests
To actually run the tests, two other configurations may be necessary for Jep to work properly:
* The java.library.path property needs to point to the Jep library. An approach for this that typically works is setting the `LD_LIBRARY_PATH` environment variable: `export LD_LIBRARY_PATH=/...path to.../python3.6/site-packages/jep:$LD_LIBRARY_PATH`
* Depending on the environment and package manager it may also be necessary to set the `LD_PRELOAD` variable to include the Python library: `export LD_PRELOAD=/...path to.../lib/libpython3.6m.so`
Feedzai has built a helpful docker image for testing, [available on docker hub](https://hub.docker.com/r/feedzai/oracle-jep-miniconda/),
that is being used in this repository's continuous integration. See the [travis-ci configuration](.travis.yml) commands
on how to use it.
The image's [Dockerfile](https://github.com/feedzai/oracle-jep-miniconda/blob/master/Dockerfile) also provides an example
of the environment installation.