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In this demo, we show the core idea of a self-optimizing ML modeling: Running an optimization loop wrapped over a ML algorithm to optimally meet a target of not only the ML performance but something else - a business goal, a computational cost burden, a complexity measure, etc.

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Self_optimizing_ML

In this demo, we show the core idea of a self-optimizing ML modeling: Running an optimization loop wrapped over a ML algorithm to optimally meet a target of not only the ML performance but something else - a business goal, a computational cost burden, a complexity measure, etc.

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In this demo, we show the core idea of a self-optimizing ML modeling: Running an optimization loop wrapped over a ML algorithm to optimally meet a target of not only the ML performance but something else - a business goal, a computational cost burden, a complexity measure, etc.

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