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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.


Python 3.


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 =, 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


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

Project details

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Files for mlgorithms, version 0.0.2
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mlgorithms-0.0.2.tar.gz (5.4 kB) View hashes Source None

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