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AutoGluon

Train and combine predictive models in Python for tabular, time-series and other tasks, with validation and prediction APIs.

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Overview

AutoGluon uses Predictor interfaces to train tabular, time-series and other tasks, selecting and combining models. Specify labels, data, budgets or presets, inspect validation and predict new data. It reduces configuration work, while results depend on data quality, metrics and computing resources.

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Descriptions summarize public information; consult official websites for features, pricing and regional availability.

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