HappyML (Machine Learning Python Library)

Machine Learning Python library for academic purposes. HappyML is a little project supposed to be used by beginners in the Machine Learning field. It has simple implementations of the more common algorithms. HappyML only depends on numpy and matplotlib. The high level of those libraries makes easy to write and read the code.

Installation

You can install happyml easily using pip:

pip install happyml

If you prefer you can clone the repository and install the library via setup.py:

git clone https://github.com/guiferviz/happyml-py.git happyml
cd happyml
sudo python setup.py install

Getting started

Check your installation with:

import happyml
happyml.greet()

If everything is OK you will see the output:

Those about to learn we salute you :)

Documentation

Dev documentation: http://happyml.readthedocs.io/en/dev/

Contact

Mail me (guiferviz) or create an issue.

Remember to be HAPPY :smile: :blush: :relaxed:

Metadata

Release files for happyml 0.0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for happyml 0.0.5
File	Size	Uploaded
happyml-0.0.5.tar.gz	9.1 kB	Aug 15, 2016	Details

Release files / happyml-0.0.5.tar.gz

Download URL	happyml-0.0.5.tar.gz
Size	9.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`badb0226c4b8cc567d487cd8bafc3d2392be5946307b89a59c845af4a30f5499`
BLAKE2b-256 checksum How to use checksums	`86a8974d8a8ccb8ae4a880fae19759b2c48a8d154822bd11f029e16fbf35f3d9`
Upload date	Aug 15, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No