From a951bc47b2f39879bef835d26c9835db70eca452 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E2=80=98topepo=E2=80=99?= Date: Tue, 28 Jan 2025 11:49:18 -0500 Subject: [PATCH] changes for cran release --- DESCRIPTION | 2 +- NEWS.md | 4 +++- README.Rmd | 6 +++--- README.md | 8 +++----- 4 files changed, 10 insertions(+), 10 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 8df9225..bb98a70 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: baguette Title: Efficient Model Functions for Bagging -Version: 1.0.2.9000 +Version: 1.1.0 Authors@R: c( person("Max", "Kuhn", , "max@posit.co", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2402-136X")), diff --git a/NEWS.md b/NEWS.md index b79c683..df6d772 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,6 @@ -# baguette (development version) +# baguette 1.1.0 + +* Small update with improved error and warning logging. # baguette 1.0.2 diff --git a/README.Rmd b/README.Rmd index 2a6c5de..ede9dad 100644 --- a/README.Rmd +++ b/README.Rmd @@ -17,14 +17,14 @@ knitr::opts_chunk$set( [![R-CMD-check](https://github.com/tidymodels/baguette/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tidymodels/baguette/actions/workflows/R-CMD-check.yaml) -[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html) +[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable) [![CRAN status](https://www.r-pkg.org/badges/version/baguette)](https://cran.r-project.org/package=baguette) [![Codecov test coverage](https://codecov.io/gh/tidymodels/baguette/branch/main/graph/badge.svg)](https://app.codecov.io/gh/tidymodels/baguette?branch=main) ## Introduction -The goal of baguette is to provide efficient functions for bagging (aka [bootstrap aggregating](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C7&q=bagging+predictors+breiman+1996&oq=Bagging+predictors+)) ensemble models. +The goal of baguette is to provide efficient functions for bagging (aka bootstrap aggregating) ensemble models. The model objects produced by baguette are kept smaller than they would otherwise be through two operations: @@ -97,7 +97,7 @@ The models also return aggregated variable importance scores. This project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms. -- For questions and discussions about tidymodels packages, modeling, and machine learning, please [post on Posit Community](https://community.rstudio.com/new-topic?category_id=15&tags=tidymodels,question). +- For questions and discussions about tidymodels packages, modeling, and machine learning, please [post on Posit Community](https://forum.posit.co/new-topic?category_id=15&tags=tidymodels,question). - If you think you have encountered a bug, please [submit an issue](https://github.com/tidymodels/baguette/issues). diff --git a/README.md b/README.md index f1a20da..1118585 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ [![R-CMD-check](https://github.com/tidymodels/baguette/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tidymodels/baguette/actions/workflows/R-CMD-check.yaml) [![Lifecycle: -experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html) +stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable) [![CRAN status](https://www.r-pkg.org/badges/version/baguette)](https://cran.r-project.org/package=baguette) [![Codecov test @@ -17,9 +17,7 @@ coverage](https://codecov.io/gh/tidymodels/baguette/branch/main/graph/badge.svg) ## Introduction The goal of baguette is to provide efficient functions for bagging (aka -[bootstrap -aggregating](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C7&q=bagging+predictors+breiman+1996&oq=Bagging+predictors+)) -ensemble models. +bootstrap aggregating) ensemble models. The model objects produced by baguette are kept smaller than they would otherwise be through two operations: @@ -126,7 +124,7 @@ By contributing to this project, you agree to abide by its terms. - For questions and discussions about tidymodels packages, modeling, and machine learning, please [post on Posit - Community](https://community.rstudio.com/new-topic?category_id=15&tags=tidymodels,question). + Community](https://forum.posit.co/new-topic?category_id=15&tags=tidymodels,question). - If you think you have encountered a bug, please [submit an issue](https://github.com/tidymodels/baguette/issues).