NegativeBinomialLikelihood - Invalid values during training

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6,832 stars (6,832 stars)

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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