NegativeBinomialLikelihood - Invalid values during training

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6,832 stars (6,832 stars)

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

Description

Contributor guide

Research direction

Investigate the NegativeBinomialLikelihood implementation to find why parameters (e.g., dispersion) become invalid during training; check for missing constraints or unstable computations.

Tech stack

python

Domain

machine learning

Issue type

Bug

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.

1-3 hours

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

Stale

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

Needs investigation

Prerequisites

Python

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

50