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For a sampled pipeline, the AutoML search process needs to evaluate an objective, and suggest future points in a direction.
For classification tasks, the evaluation metrics are documented here #11
The benchmark is done using the cross-validation tester documented in #20.
Given a metric, the optimization process might seek to maximize or minimize the objective.
Feature Description
For a sampled pipeline, the AutoML search process needs to evaluate an objective, and suggest future points in a direction.
For classification tasks, the evaluation metrics are documented here #11
The benchmark is done using the cross-validation tester documented in #20.
Given a metric, the optimization process might seek to maximize or minimize the objective.
AP Reference: https://github.com/vanderschaarlab/autoprognosis/blob/main/src/autoprognosis/explorers/classifiers.py
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