online-ml/river

Theta forecasting model

Open

#1,389 opened on Nov 1, 2023

View on GitHubContributor guide
 (5 comments) (0 reactions) (0 assignees)Python (553 forks)batch import
Good first issueNew feature

Repository metrics

Stars
 (4,574 stars)
PR merge metrics
 (Avg merge 47d 6h) (46 merged PRs in 30d)

Description

First question: can it be done online? Second question: can we reuse seasonality and trend logic we've already implemented for SNARIMAX?

Contributor guide

Research direction
Read the referenced paper and statsforecast documentation on Theta method. Analyze if the method can be adapted for online learning (incremental updates). Examine the existing SNARIMAX implementation in River to understand how seasonality and trend logic are handled, and evaluate if they can be reused for Theta. Finally, provide a summary of feasibility and recommendations.
Tech stack
python
Domain
machine learninganalytics
Issue type
Research
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Pythonmachine learning
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75