Implement a Support Vector Machine Classification module (Linear and Gaussian Kernels) - Githubissues

Benardi / touvlo

:robot: ML algorithms implemented from scratch and provided block by block

https://touvlo.readthedocs.io/en/latest/

MIT License

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Implement a Support Vector Machine Classification module (Linear and Gaussian Kernels) #24

Open Benardi opened 5 years ago

Benardi commented 5 years ago

Description

Add a Support Vector Machine Classification module (Linear and Gaussian Kernels) to the package

Files

A list of relevant files for this issue. This will help people navigate the project and offer some clues of where to start.

touvlo/supv/
- Where the Support Vector Machine Classification module belongs
test/supv/
- Where the Support Vector Machine Classification test suite belongs
/docs/source/supv.rst
- File to edit to add the module pydoc to the docs

Tasks

Include specific tasks in the order they need to be done in. Include links to specific lines of code where the task should happen at.

[ ] Implement the Support Vector Machine Classification module
[ ] Implement a test suite with test cases covering each routine/function in the module
[ ] Document via pydoc each routine/function in the module
[ ] Configure docs/source/supv.rst to include the new module in the project docs