Machine Learning Lib.
Machine learning libraries implemented entirely in python. Updating...
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Clone the project locally and enter the project folder.
pip install .
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')
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
- Yuncheng Dong
- Email: firstname.lastname@example.org
This project is licensed under the Apache 2.0 License - see the LICENSE.md file for details.
- Peter Harrington
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|Filename, size & hash||File type||Python version||Upload date|
|mlgorithms-0.0.2-py3-none-any.whl (11.2 kB) View hashes||Wheel||py3|
|mlgorithms-0.0.2.tar.gz (5.4 kB) View hashes||Source||None|
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