ML the ML - or, how to use ML to analyze the results of your hyperparameter tuning experiments (in Microsoft Fabric)

Sat, 06 Jan 2024 00:00:00 +0000

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When one is training a model, one typically engages in a process called “hyperparameter tuning.” The model is trained many (10s, 100s, or 1000’s of) times, varying some of the inputs. This could be as simple as the number of epochs, or, could be as varied as taking different slices or ranges of input data (ie: different sensors from an array of many sensors, etc), different ML model structures, or, different parameters within that structure.

Microsoft Fabric on jason grey

ML the ML - or, how to use ML to analyze the results of your hyperparameter tuning experiments (in Microsoft Fabric)

What are we talking about here? Link to heading