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Machine Learning Lib.

Project description

mlgorithms

Machine learning libraries implemented entirely in python. Updating...

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Python 3.

Installing

Method 1

Clone the project locally and enter the project folder.

pip install .

Method 2

We have also deployed the project to PyPI, and you can install it anytime, anywhere through the following instruction.

pip install mlgorithms

Running the tests

If you install successfully, below is the test code for ID3.

from mlgorithms.ID3 import ID3

dat = [[1,1,'yes'],[1,1,'yes'],[1,0,'no'],[0,1,'no'],[0,1,'no']]
features_name = ['f1', 'f2']
model = ID3()
built_tree = model.fit(dat, features_name, max_depth=None, min_samples_split=2)
print(model.predict(built_tree, [1,0], features_name))

Then you can save and load the built tree through the following code.

model.save_built_tree('built_tree.m', built_tree)
load_tree = model.load_built_tree('built_tree.m')

Built With

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

License

This project is licensed under the Apache 2.0 License - see the LICENSE.md file for details.

Acknowledgments

  • Peter Harrington

Project details


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Files for mlgorithms, version 0.0.2
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