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 3.6

Installing

Method 1

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

Method 2

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')

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

• Peter Harrington