LAMA, or LightAutoML is open-source python library released by the AutoML Team at Sber AI Lab as an Automated Machine Learning (AutoML) framework. It is designed to be lightweight and efficient for various tasks:
Now, LightAutoML supports tabular datasets, which contain different types of features: numeric, categorical, dates, texts, images, etc.
LightAutoML installation is pretty simple:
pip install -U lightautoml
LightAutoML provides not only presets for end-to-end ML task solving but also the easy-to-use ML pipeline creation constructor, including:
Currently, LAMA supports datasets, where each row is an object with its specific features and target. Multitable datasets and sequences are now in the development phase.
Note: LAMA has automatic creation of interpretable models onboard that is based on AutoWoE library made by our team as well. Interpretable blackbox is on the way to release!