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Releases: phenrickson/bgg_models

hurdle

07 Jun 19:41
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added hurdle model

alpha-lightgbm: Dev/lightgbm (#27)

24 May 17:50
45dd16f
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shifted model types to lightgbm

functional pipeline + reports

23 May 21:24
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increased functionality within targets pipeline for additional modeling/testing
added quarto reports for GitHub pages

0.1.0

20 Mar 22:01
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0.1.0 Pre-release
Pre-release

summary

using penalized regressions (glmnet) to predict bgg outcomes

description

targets pipeline trains and evaluates models for averageweight, average, and usersrated, then combines these to estimate the geek rating (bayesaverage)

evaluation

models trained through 2019; evaluated on 2020-22