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Reproducible Training And Experimentation

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Modules

3 total

From Notebook To Tracked Experiment

Track experiment parameters, metrics, and artifacts using MLflow.

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2

MLflow And Model Registry

Register an MLflow model with signature and metadata.

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3

Training Strategy Selection

Choose between custom training scripts, AutoML, and hyperparameter sweeps for a given scenario.

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    Reproducible Training And Experimentation | Synapse | ai-in-a-shell