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[docs] [R-package] mention {bonsai} in the docs #5652

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Jan 31, 2023
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[docs] [R-package] mention {bonsai} in the docs #5652

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[docs] [R-package] mention {bonsai} in the docs
jameslamb Dec 29, 2022
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Update R-package/cran-comments.md
jameslamb Jan 27, 2023
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Merge branch 'master' into docs/r
jameslamb Jan 27, 2023
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Merge branch 'master' into docs/r
jameslamb Jan 31, 2023
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7 changes: 0 additions & 7 deletions R-package/README.md
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Expand Up @@ -484,13 +484,6 @@ These tests can also be triggered on any pull request by leaving a comment in a

> /gha run r-valgrind

External (Unofficial) Repositories
----------------------------------

Projects listed here are not maintained or endorsed by the `LightGBM` development team, but may offer some features currently missing from the main R package.

* [lightgbm.py](https://github.com/kapsner/lightgbm.py): This R package offers a wrapper built with `reticulate`, a package used to call Python code from R. If you are comfortable with the added installation complexity of installing `lightgbm`'s Python package and the performance cost of passing data between R and Python, you might find that this package offers some features that are not yet available in the native `lightgbm` R package.

Known Issues
------------

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4 changes: 2 additions & 2 deletions R-package/cran-comments.md
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Expand Up @@ -10,7 +10,7 @@ Accepted to CRAN

Submitted with the following comment:

> This submission contains {lightgbm} 3.3.3.
> This submission contains {lightgbm} 3.3.4

> Per CRAN's policies, I am submitting it on behalf of the project's maintainer (Yu Shi), with his permission.

Expand All @@ -20,7 +20,7 @@ Submitted with the following comment:

> Thank you very much for your time and consideration.

## v3.3.3 - Submission 1 - (October 10, 2022)
## v3.3.4 - Submission 1 - (October 10, 2022)
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### CRAN response

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5 changes: 4 additions & 1 deletion README.md
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Expand Up @@ -61,6 +61,9 @@ Some old update logs are available at [Key Events](https://github.com/microsoft/
External (Unofficial) Repositories
----------------------------------

Projects listed here offer alternative ways to use LightGBM.
They are not maintained or officially endorsed by the `LightGBM` development team.

FLAML (AutoML library for hyperparameter optimization): https://github.com/microsoft/FLAML

Optuna (hyperparameter optimization framework): https://github.com/optuna/optuna
Expand Down Expand Up @@ -115,7 +118,7 @@ lightgbm-rs (Rust binding): https://github.com/vaaaaanquish/lightgbm-rs

MLflow (experiment tracking, model monitoring framework): https://github.com/mlflow/mlflow

`{treesnip}` (R `{parsnip}`-compliant interface): https://github.com/curso-r/treesnip
`{bonsai}` (R `{parsnip}`-compliant interface): https://github.com/tidymodels/bonsai

`{mlr3extralearners}` (R `{mlr3}`-compliant interface): https://github.com/mlr-org/mlr3extralearners

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