Statements (53)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:R_Language
gptkb:R_language |
| gptkbp:community_support |
R community
|
| gptkbp:dependency |
gptkb:Monarch
gptkb:software gptkb:dplyr gptkb:ggplot2 glue purrr stringr rlang tidyselect vctrs |
| gptkbp:developed_by |
R Studio
|
| gptkbp:has_documentation |
tidymodels.org
|
| https://www.w3.org/2000/01/rdf-schema#label |
tidymodels
|
| gptkbp:includes |
gptkb:Monarch
gptkb:song recipes workflows parsnip rsample yardstick |
| gptkbp:integrates_with |
gptkb:dplyr
gptkb:ggplot2 forcats purrr tibble |
| gptkbp:is_compatible_with |
gptkb:tidyverse
|
| gptkbp:language |
gptkb:R
|
| gptkbp:provides |
performance metrics
visualization tools model evaluation tools data preprocessing tools workflow management model tuning capabilities consistent interface for modeling data splitting functions feature engineering tools |
| gptkbp:purpose |
modeling and machine learning
|
| gptkbp:release_date |
gptkb:2019
|
| gptkbp:supports |
hyperparameter tuning
model selection cross-validation ensemble methods tidy data principles resampling methods |
| gptkbp:tutorials |
online resources
|
| gptkbp:used_in |
gptkb:software_framework
statistical modeling data science |