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.create_tree(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
- Yuncheng Dong
- Email: dongyuncheng1991@gmail.com
License
This project is licensed under the Apache 2.0 License - see the LICENSE.md file for details.
Acknowledgments
- Machine Learning in Action
Project details
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