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Merge pull request #335 from tidymodels/update-contrib
Update contributing section
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README.Rmd

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[![CRAN status](https://www.r-pkg.org/badges/version/parsnip)](https://CRAN.R-project.org/package=parsnip)
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[![Downloads](http://cranlogs.r-pkg.org/badges/parsnip)](https://cran.rstudio.com/package=parsnip)
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[![lifecycle](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)
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[![Codecov test coverage](https://codecov.io/gh/tidymodels/parsnip/branch/master/graph/badge.svg)](https://codecov.io/gh/tidymodels/parsnip?branch=master)
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[![R build status](https://github.com/tidymodels/parsnip/workflows/R-CMD-check/badge.svg)](https://github.com/tidymodels/parsnip/actions)
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<!-- badges: end -->
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## Introduction
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## Contributing
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If you encounter a bug, please file a minimal reproducible example on [GitHub](https://github.com/tidymodels/parsnip/issues). For questions and other discussion, please use [community.rstudio.com](https://community.rstudio.com/).
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This project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.
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- For questions and discussions about tidymodels packages, modeling, and machine learning, please [post on RStudio Community](https://rstd.io/tidymodels-community).
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- If you think you have encountered a bug, please [submit an issue](https://github.com/tidymodels/parsnip/issues).
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- Either way, learn how to create and share a [reprex](https://rstd.io/reprex) (a minimal, reproducible example), to clearly communicate about your code.
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Please note that the parsnip project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.
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- Check out further details on [contributing guidelines for tidymodels packages](https://www.tidymodels.org/contribute/) and [how to get help](https://www.tidymodels.org/help/).

README.md

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status](https://www.r-pkg.org/badges/version/parsnip)](https://CRAN.R-project.org/package=parsnip)
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[![Downloads](http://cranlogs.r-pkg.org/badges/parsnip)](https://cran.rstudio.com/package=parsnip)
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[![lifecycle](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)
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## Introduction
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fit(mpg ~ ., data = mtcars)
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#> parsnip model object
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#>
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#> Fit time: 69ms
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#> Fit time: 71ms
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#> Ranger result
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#>
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#> Call:
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#> Target node size: 5
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#> Variable importance mode: impurity
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#> Splitrule: variance
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#> OOB prediction error (MSE): 5.815633
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#> R squared (OOB): 0.839896
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#> OOB prediction error (MSE): 5.911312
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#> R squared (OOB): 0.837262
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```
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A list of all `parsnip` models across different CRAN packages can be
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## Contributing
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If you encounter a bug, please file a minimal reproducible example on
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[GitHub](https://github.com/tidymodels/parsnip/issues). For questions
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and other discussion, please use
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[community.rstudio.com](https://community.rstudio.com/).
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Please note that the parsnip project is released with a [Contributor
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Code of
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This project is released with a [Contributor Code of
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Conduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html).
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By contributing to this project, you agree to abide by its terms.
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- For questions and discussions about tidymodels packages, modeling,
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and machine learning, please [post on RStudio
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Community](https://rstd.io/tidymodels-community).
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- If you think you have encountered a bug, please [submit an
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issue](https://github.com/tidymodels/parsnip/issues).
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- Either way, learn how to create and share a
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[reprex](https://rstd.io/reprex) (a minimal, reproducible example),
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to clearly communicate about your code.
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- Check out further details on [contributing guidelines for tidymodels
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packages](https://www.tidymodels.org/contribute/) and [how to get
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help](https://www.tidymodels.org/help/).

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