tuning

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iso_doc_type: "Specification" iso_viewpoint: "ComponentView" type: "module" title: "regression_model_template::jobs::tuning — Hyperparameter Optimization Pipeline" source_path: "src/regression_model_template/jobs/tuning.py" description: "Executes cross-validated hyperparameter optimization over search spaces using Optuna or Grid search." tags: ["iso42010", "okf", "component_view", "tuning", "optuna"] timestamp: "2026-10-01T17:50:00Z" generated: "agent:wiki-iso-documentation-standard" verified: "true" last_verified_commit: "073b5fd"

regression_model_template::jobs::tuning — Hyperparameter Optimization Pipeline

Source: src/regression_model_template/jobs/tuning.py (Lines: L1-L104)
Layer: Application
Role: Explores multi-dimensional hyperparameter spaces, evaluates candidate configurations across cross-validation splits, and logs trials history to MLflow.

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1. Class Diagram

classDiagram
    class TuningJob {
        +str KIND = "TuningJob"
        +RunConfig run_config
        +ReaderKind inputs
        +ReaderKind targets
        +ModelKind model
        +run() Locals
    }
    TuningJob --|> Job : implements

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Related: Searchers · Training Job