unit8co/darts

Write an `NBEATSExplainer` class for the interpretable version

Open

#1,270 opened on Oct 9, 2022

View on GitHub
 (1 comment) (0 reactions) (0 assignees)Python (762 forks)batch import
good first issueimprovement

Repository metrics

Stars
 (6,832 stars)
PR merge metrics
 (Avg merge 143d 16h) (16 merged PRs in 30d)

Description

NBEATS has an "interpretable" mode where it decomposes the forecast in trend and seasonality. We should have a class NBEATSExplainer in darts.explainability which exposes these.

Contributor guide

Research direction
Study the NBEATS interpretable mode and existing explainability classes in darts, then implement NBEATSExplainer in darts.explainability.
Tech stack
python
Domain
machine learning
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.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50