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Machine Learning Lib.

Project description


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.



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 file:

git clone
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 =, 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 for details on our code of conduct, and the process for submitting pull requests to us.


We use SemVer for versioning. For the versions available, see the tags on this repository.



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


  • Peter Harrington

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