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https://github.com/vida-nyu/alpha-automl
Alpha-AutoML is a Python library for automatically generating end-to-end machine learning pipelines.
https://github.com/vida-nyu/alpha-automl
automl data-science machine-learning python
Last synced: about 2 months ago
JSON representation
Alpha-AutoML is a Python library for automatically generating end-to-end machine learning pipelines.
- Host: GitHub
- URL: https://github.com/vida-nyu/alpha-automl
- Owner: VIDA-NYU
- License: apache-2.0
- Created: 2023-02-15T21:30:19.000Z (almost 2 years ago)
- Default Branch: devel
- Last Pushed: 2024-05-28T20:58:07.000Z (8 months ago)
- Last Synced: 2024-05-29T07:45:38.399Z (8 months ago)
- Topics: automl, data-science, machine-learning, python
- Language: Python
- Homepage: https://alpha-automl.readthedocs.io
- Size: 48 MB
- Stars: 17
- Watchers: 12
- Forks: 3
- Open Issues: 11
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE.txt
Awesome Lists containing this project
README
[](https://pypi.org/project/alpha-automl)
[](https://opensource.org/licenses/Apache-2.0)
[](https://github.com/VIDA-NYU/alpha-automl/actions/workflows/build.yml)
[](https://alpha-automl.readthedocs.io/en/latest/?badge=latest)
Alpha-AutoML is an AutoML system that automatically searches for models and derives end-to-end pipelines that read,
pre-process the data, and train the model. Alpha-AutoML leverages recent advances in deep reinforcement learning and is
able to adapt to different application domains and problems through incremental learning.
Alpha-AutoML provides data scientists and data engineers the flexibility to address complex problems by leveraging the
Python ecosystem, including open-source libraries and tools, support for collaboration, and infrastructure that enables
transparency and reproducibility.
This repository is part of New York University's implementation of the
[Data Driven Discovery project (D3M)](https://datadrivendiscovery.org/).
## Documentation
Documentation is available [here](https://alpha-automl.readthedocs.io/).
## Installation
This package works with Python 3.6+ in Linux, Mac, and Windows.
You can install the latest stable version of this library from [PyPI](https://pypi.org/project/alpha-automl/):
```
pip install alpha-automl
```
To install the latest development version:
```
pip install git+https://github.com/VIDA-NYU/alpha-automl@devel
```
## Docker
### Pre-built Docker Image
We provide pre-built docker images with Jupyter and Alpha-AutoML pre-installed that you can use to quickly test Alpha-AutoML.
To test it, you can run the following command in your machine, and open Jupyter Notebook on your browser:
```
docker run -p 8888:8888 ghcr.io/vida-nyu/alpha-automl
```
Using this command, Jupyter Notebook will auto-generate a security token. The correct URL to access the Jupyter will be printed in the console output and will look like: `http://127.0.0.1:8888/?token=70ace7fa017c35ba0134dc7931add12bf55a69d4d4e6e54f`.
Alternatively, if you want to provide a custom security token, you can run:
```
docker run -p 8888:8888 -e JUPYTER_TOKEN="" ghcr.io/vida-nyu/alpha-automl
```
If you are running the Jupyter Notebook in a secure environment, the authentication can be disabled as follows:
```
docker run -p 8888:8888 ghcr.io/vida-nyu/alpha-automl --NotebookApp.token=''
```
### Docker Image From Scratch
If you need to build an image from sources, you can use our [Dockerfile](https://github.com/VIDA-NYU/alpha-automl/blob/devel/Dockerfile). You can use a docker-build argument to select the packages that will be installed in the image (e.g., `full`, `timeseries`, `nlp`, etc) as follows:
```
docker build -t alpha-automl --build-arg BUILD_OPTION=full .
```
Or simply a base version using (this will use less disk space but will not provide support for some tasks such as NLP and timeseries):
```
docker build -t alpha-automl:latest --target alpha-automl .
```
You can also build an image to use with JupyterHub as follows:
```
docker build -t alpha-automl:latest-jupyterhub --target alpha-automl-jupyterhub .
```
See also the documentation on how to setup Alpha-AutoML + JupyterHub on [Kubernetes](https://github.com/VIDA-NYU/alpha-automl/tree/devel/kubernetes).
## Others
Documentation for the Streamlit app for image triage developed by Jataware Corp is available [here](https://github.com/jataware/st-image-triage), see this [video demo](https://drive.google.com/file/d/1h3o0C0wNfT2AQduhqfgGEWl8fInFkdFZ/view).