training

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iso_doc_type: "Specification" iso_viewpoint: "ComponentView" type: "module" title: "regression_model_template::jobs::training — Model Training Pipeline" source_path: "src/regression_model_template/jobs/training.py" description: "Trains regression models, evaluates train/test partitions, and logs parameters and artifacts to MLflow." tags: ["iso42010", "okf", "component_view", "training", "mlflow"] timestamp: "2026-10-01T17:50:00Z" generated: "agent:wiki-iso-documentation-standard" verified: "true" last_verified_commit: "073b5fd"

regression_model_template::jobs::training — Model Training Pipeline

Source: src/regression_model_template/jobs/training.py (Lines: L1-L145)
Layer: Application
Role: Ingests training data, splits partitions, fits the model estimator, evaluates train/test error, and registers artifacts with active MLflow runs.

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1. Class Diagram

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

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Related: Models · Tuning Job