A toolkit for various machine learning tasks.
Project description
Machine Learning Utilities
MachineLearningUtils is a Python module that offers various tools for machine learning and data science. It is built up on scikit-learn and rather focuses on specific tools that could be useful in different application domains. Domains in its scope include but not limited to: Industrial processes, spectroscopy and authentication.
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. For the moment it is not intended for deployment on a live system.
Prerequisites
What things you need to install the software and how to install them
Give examples
Installing
A step by step series of examples that tell you how to get a development env running
Say what the step will be
Give the example
And repeat
until finished
End with an example of getting some data out of the system or using it for a little demo
Running the tests
Explain how to run the automated tests for this system
Break down into end to end tests
Explain what these tests test and why
Give an example
And coding style tests
Explain what these tests test and why
Give an example
Built With
- Dropwizard - The web framework used
- Maven - Dependency Management
- ROME - Used to generate RSS Feeds
Contributing
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
Versioning
We use SemVer for versioning. For the versions available, see the tags on this repository.
Authors
- Billie Thompson - Initial work - PurpleBooth
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE.md file for details
Acknowledgments
- Hat tip to anyone whose code was used
- Inspiration
- etc
Project details
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Source Distribution
Built Distribution
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