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Reimplement the metrics module to support logging with mlflow, and ensure the prefect dependency graph executes the filter->preprocessing->measure->postprocessing->output stages correctly.
Features and Functionality
Supports batched and single data
Supports user defined custom metrics
Auto-vectorizes data transformations and metrics
Ability to measure and compare data from different experiments
Definition of Done
Compatible with all supported backends
All function calls are logged with mlflow
All data transformations are done using reusable units of work available throughout Dioptra
Revisit as part of redesign of built-in task plugins #293
The text was updated successfully, but these errors were encountered:
Overview
Reimplement the metrics module to support logging with mlflow, and ensure the prefect dependency graph executes the filter->preprocessing->measure->postprocessing->output stages correctly.
Features and Functionality
Definition of Done
Revisit as part of redesign of built-in task plugins #293
The text was updated successfully, but these errors were encountered: