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Python API for Automated ML

Project description

Python PyPI version

AutoNeuro

AutoNeuro is an automated machine learning application built using python 3.7. It allows users to build production ready ML models with ease and efficiency.See the About us page for more information.

website: https://nabeelfahmi12.github.io/AutoNeuro-Documentation/

Installation

Dependencies

AutoNeuro requires:

  • Python 3
  • Numpy
  • Pandas *scikit-learn

User Installation

If you already have a working installation of numpy and Pandas, the easiest way to install autoNeuro is using Pip

pip install pneuro

The documentation includes more detailed installation instructions

Change log

See the change log for a history of notable changes to AutoNeuro.

Development

We welcome new contributors of all experience levels. The Development Guide has detaled information about contributing code, documentation, tests, and more. We have included some basic information in README.

Important links

Source code

You can check the latest sources with the command:

git clone https://github.com/nabeelfahmi12/AutoNeuro-Documentaion.git

Contributing

To learn more about making a contribution to scikit-learn, please see our Contributing guide

Testing

After installation, you can launch the test suite from outside the source directory (you will need to have pytest >= 5.0.1 installed):

pytest AutoNeuro

Submitting a Pull Request

Before opening a Pull Request, have a look at the full Contributing page to make sure your code complies with our guidelines: https://nabeelfahmi12.github.io/AutoNeuro-Documentation/Contributingtoautoneuro/Contributingtoautoneuro/

Help and Support

https://nabeelfahmi12.github.io/AutoNeuro-Documentation/Contributingtoautoneuro/Contributingtoautoneuro/

Documentation

  • HTML documentation (stable release):
  • HTML documentation (development version):
  • FAQ:

Communication

Citation

If you use autoneuro in a scientific publication, we would appreciate citations:

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