scalanlp/breeze

Numpy parity: statistics fitting

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#217 opened on Apr 9, 2014

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Description

Numpy gives the fit function, letting you input data and get a distribution as output. Would be nice to have that.

  • chisquare
  • f
  • gumbel
  • hypergeometric
  • laplace
  • lognormal
  • logseries
  • multivariate_normal
  • noncentral_chisquare
  • noncentral f
  • pareto
  • power
  • rayleigh
  • student's t
  • triangular
  • wald
  • weibull
  • zipf

Contributor guide

Research direction
Study Breeze's existing distribution classes and implement parameter estimation (fit) methods for each listed distribution by following Numpy's API and existing tests.
Tech stack
scala
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.
Mostly clear
Prerequisites
Scalabasic statistics
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60