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changes for cran release (#84)
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topepo authored Jan 28, 2025
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: baguette
Title: Efficient Model Functions for Bagging
Version: 1.0.2.9000
Version: 1.1.0
Authors@R: c(
person("Max", "Kuhn", , "[email protected]", role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-2402-136X")),
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4 changes: 3 additions & 1 deletion NEWS.md
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# baguette (development version)
# baguette 1.1.0

* Small update with improved error and warning logging.

# baguette 1.0.2

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6 changes: 3 additions & 3 deletions README.Rmd
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<!-- badges: start -->
[![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)
<!-- badges: end -->

## 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:

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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).

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8 changes: 3 additions & 5 deletions README.md
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[![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
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## 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:
Expand Down Expand Up @@ -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).
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