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.
The project was deployed to PyPI, and it is recommended to use pip for installation:
pip install mlgorithms # normal install pip install --upgrade mlgorithms # or update if needed
Alternatively, you could clone and run setup.py file:
git clone https://github.com/doycode/mlgorithms.git cd mlgorithms pip install .
Running the tests
If you install successfully, below is the test code for ID3.
from mlgorithms.ID3 import ID3 X = [[1,1],[1,1],[1,0],[0,1],[0,1]] y = ['yes', 'yes', 'no', 'no', 'no'] features_name = ['f1', 'f2'] model = ID3(features_name=features_name) built_tree = model.fit(X, y) print(model.predict(built_tree, [[1,0]]))
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
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size mlgorithms-0.0.6-py3-none-any.whl (24.5 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size mlgorithms-0.0.6.tar.gz (17.5 kB)||File type Source||Python version None||Upload date||Hashes View|
Hashes for mlgorithms-0.0.6-py3-none-any.whl