awslabs/gluonts

Missing distributions

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#467 opened on Nov 20, 2019

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 (10 comments) (0 reactions) (1 assignee)Python (753 forks)batch import
enhancementhelp wanted

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Description

Some of the distributions which are currently missing are:

  • Gamma
  • Beta (this can be implemented ad hoc, or can use Dirichlet internally, since it's a special case) Inflated distributions (these can be implemented as a MixtureDistribution with a "deterministic" one):
  • Zero-One-inflated Beta
  • Zero-inflated Gamma
  • Zero-inflated Poisson
  • Zero-inflated Negative Binomial

Contributor guide

Research direction
Implement the missing distributions: Gamma, Beta, and inflated versions (Zero One inflated Beta, Zero inflated Poisson, Zero inflated Negative Binomial). Study the existing distribution API in GluonTS and follow the same pattern. For inflated distributions, use MixtureDistribution with a deterministic component.
Tech stack
python
Domain
machine learningdata
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.
Half day
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
PythonProbability distributions
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60