Predictive Early Stopping - A Meta Learning Approach by@comet.ml

Predictive Early Stopping - A Meta Learning Approach

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Comet's Predictive Early Stopping is a state-of-the-art approach for speeding up model training and hyperparameter optimization. Comet is able to leverage data from over two million models in the public section of its platform to create a model whose predictions generalize across hyperparameters and model architectures. Comet’s Bayesian Optimizer and SMAC optimizer can speed up training by up to 30% independent of the underlying infrastructure. Predictive early Stopping allows SMAC to get to a similar level of training almost 300,000 times faster.

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by Comet @comet.ml.Allowing data scientists and teams the ability to track, compare, explain, reproduce ML experiments.
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