Flexible data structures for complex machine learning datasets

meerkat

Meerkat provides fast and flexible data structures for working with complex machine learning datasets.

Getting started

pip install meerkat-ml

Note: some parts of Meerkat rely on optional dependencies. If you know which optional dependencies you’d like to install, you can do so using something like pip install meerkat-ml[dev,text] instead. See setup.py for a full list of optional dependencies.

Load your dataset into a DataPanel and get going!

import meerkat as mk
dp = mk.DataPanel.from_csv("...")

What is Meerkat?

Meerkat makes it easier for ML practitioners to interact with high-dimensional, multi-modal data. It provides simple abstractions for data inspection, model evaluation and model training supported by efficient and robust IO under the hood.

Meerkat’s core contribution is the DataPanel, a simple columnar data

 

 

 

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