easyautoml

Easy automated machine learning

Allowing non-programmers to develop machine learning model by simplifying and automating the process.

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If you are running on ubuntu.

Dependencies

$ sudo apt-get update $ sudo apt-get install build-essential swig

Create a virtual environment on the root directory then run

$ pip install -r requirements.txt

If error occurs, you might want to install manually the following dependencies:

$ curl https://raw.githubusercontent.com/automl/auto-sklearn/master/requirements.txt | xargs -n 1 -L 1 pip install

$ pip install auto-sklearn

Running the development server.

$ python app.py

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Running with docker for production and when you are not on ubuntu, although this is still under heavy development.

Ensure that you have installed docker. On the root directory of the project.

Build the image

docker build --tag easyautoml .

Run a container based on the built image

docker run -p 5000:5000 -d easyautoml

or Start the container and automatically removed on stop

docker run -p 5000:5000 --rm -d easyautoml

Then visit the app on your browser: http://127.0.0.1:5000/

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Some docker commands that might help

Force rebuild the image

docker build --no-cache .

Delete model when already exists

docker exec -it <container_id> rm -rf ./models_trained/<model_name>

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Video tutorial can be found on youtube

Using web dashboard

https://www.youtube.com/watch?v=NNnEmgt2V3s&t=21s

Using API

https://www.youtube.com/watch?v=-PJivGyKhH4

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Note:

Support only classification. Will work on regression.