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GitHub / JBris / bayes-growth-bdd
Demonstrating the use of behavior-driven development (BDD) to Bayesian growth models for assumption tracking.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JBris%2Fbayes-growth-bdd
Stars: 1
Forks: 0
Open Issues: 5
License: mit
Language: Python
Repo Size: 29.8 MB
Dependencies: pending
Created: 9 months ago
Updated: 3 months ago
Last pushed: 3 months ago
Last synced: 3 months ago
Commit Stats
Commits: 69
Authors: 3
Mean commits per author: 23.0
Development Distribution Score: 0.333
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/JBris/bayes-growth-bdd
Topics: bayesian, bayesian-inference, bayesian-statistics, bdd, bdd-framework, behave, behave-framework, behavior-driven-development, docker, docker-compose, fisheries, gherkin, gherkin-language, growth-curves, growth-models, multi-level-model, multi-level-modeling, pymc, sharks, statistics