{"push_id":2179485803,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"6c32b4383843967c0073f72d387010434cb506c9","before":"7f0b910c8378d101da719d7901a247b4b90e0350","commits":[{"sha":"6c32b4383843967c0073f72d387010434cb506c9","author":{"name":"k0L1081","email":"74fe27627065fbed85f72c7a56a8b8ecec8c38a4@users.noreply.github.com"},"message":"Create, Save and Reuse Machine Learning Model\n\nSimple demo of how to create, save and reuse classification model. The ability to save and re-use a trained model is an important component in the productionizing of machine learning models.\n\nThe model is created in scikit-learn.\n\nThe model is saved and re-opened (serialized and deserialized) using pickle.\n\nThe data set used for the demo is the Iris Flower Dataset.","distinct":true,"url":"https://api.github.com/repos/k0L1081/Python/commits/6c32b4383843967c0073f72d387010434cb506c9"}]}
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