Future covariates for exponential smoothing

Repository metrics

Stars

6,832 stars (6,832 stars)

PR merge metrics

Avg merge 143d 16h (Avg merge 143d 16h)16 merged PRs in 30d (16 merged PRs in 30d)

Description

This issue does not include a description.

Contributor guide

Research direction

Study the existing ExponentialSmoothing model in darts and understand how future covariates are passed to other models like ARIMA or Prophet. Then propose a method to incorporate them.

Tech stack

python

Domain

backend

Issue type

Feature

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

3

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

1-2 days

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

Active

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

Clear

Prerequisites

PythonTime series forecastingdarts library

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

60