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SkillsMP ha recopilado 6 skills de tidymodels/skills. Abre una skill para revisar su origen y sus detalles.
Mostrando 6 de 6 skills recopiladas.
Guide for creating new dials parameters for hyperparameter tuning. Use when a developer needs to define custom tuning parameters for models, recipes, or workflows, including quantitative parameters (continuous/integer), qualitative parameters (categorical),…
Idioma del texto original: inglés
Create entirely new model specifications for the parsnip package. Use when creating a fundamentally new model type (like linear_reg, boost_tree) with its constructors, registration, and engine implementations. For adding engines to existing models, use…
Idioma del texto original: inglés
Create a new preprocessing step for the recipes package following tidymodels conventions
Idioma del texto original: inglés
Add new computational engines to existing parsnip models. Use when connecting an existing parsnip model (linear_reg, boost_tree, etc.) to a new computational backend or R package.
Idioma del texto original: inglés
Guide for creating new yardstick metrics. Use when a developer needs to extend yardstick with a custom performance metric, including numeric, class, probability, ordered probability, survival (static, dynamic, integrated, linear predictor), and quantile…
Idioma del texto original: inglés
Build machine learning models using tidymodels for tabular data using proper data spending, resampling, and validation practices. Covers train/test splitting, cross-validation, feature engineering, model tuning, and evaluation. Use when building predictive…
Idioma del texto original: inglés