init_data

---

iso_doc_type: "Procedure" iso_viewpoint: "ComponentView" type: "module" title: "regression_model_template::init_data — Synthetic Dataset Generator" source_path: "src/regression_model_template/init_data.py" description: "Generates reproducible synthetic regression datasets matching Pandera InputsSchema and TargetsSchema." tags: ["iso42010", "okf", "component_view", "data"] timestamp: "2026-10-01T17:50:00Z" generated: "agent:wiki-iso-documentation-standard" verified: "true" last_verified_commit: "073b5fd"

regression_model_template::init_data — Synthetic Dataset Generator

Source: src/regression_model_template/init_data.py (Lines: L1-L66)
Layer: Utilities / Data Seeding
Role: Generates reproducible synthetic bike sharing demand regression datasets for development and testing.

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1. Component Architecture & Signatures

classDiagram
    class InitData {
        <<script>>
        +generate_data(output_dir: str = "data") None
        +main() None
    }

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generate_data(output_dir: str = "data") -> None

• Source Citation: src/regression_model_template/init_data.py:L10-L54
• Visibility: Public (+)
• Behavior: Synthesizes 1,000 hourly bike-sharing records containing calendar, weather, temperature, humidity, and windspeed features, persisting outputs as inputs.parquet and targets.parquet.

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Related: Data Model · Datasets