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Last updated: 2026-03-28

Roadmap

  • This document outlines the planned development roadmap for the project.
  • Time ranges are relative to the last update of this document.

Structure

  • Each planned feature is nested within short term, mid term, or long term segment, which signals when it can be expected
  • Each planned feature contains two descriptive elements:
    • status (planned/in progress/done)
    • importance (low/medium/high/crucial)

Short Term (less than 1 month)

  • Add a document describing each of the configs
    • Status: done (2026-03-13)
    • Importance: high
  • Create an ml service that wraps pipelines and allows config writing using Dash and FastAPI
    • Status: done (2026-03-19)
    • Importance: medium
  • Create dataset + feature set snapshot binding logic and configs
    • Status: done (2026-03-23)
    • Importance: medium
  • Improve dataset and feature set merging logic
    • Status: done (2026-03-24)
    • Importance: medium
  • Create infer.py
    • Status: done (2026-03-27)
    • Importance: medium
  • Create monitor.py
    • Status: done (2026-03-27)
    • Importance: medium

Mid Term (1-6 months)

No items currently planned.

Long Term (6+ months)

  • Add time-series logic, starting with Prophet algorithm
    • Status: planned
    • Importance: low
  • Add support for xgboost and lgbm algorithms
    • Status: planned
    • Importance: low