search for: tidymodel

...o: Jesús Para Fernández <j.para.fernandez en hotmail.com> Cc: r-help-es en r-project.org <r-help-es en r-project.org> Subject: Re: [R-es] Mejor paquete machine learning Yo no uso data.table. Pero según veo en este post de Kaggle se pueden usar (tanto con funciones del tidyverse como de tidymodels) Pero vamos, que lo bueno que tenemos es poder elegir entre distintas opciones :) Un saludo, Emilio L. Cano http://emilio.lcano.com El 31 jul 2020, a las 18:00, Jesús Para Fernández <j.para.fernandez en hotmail.com<mailto:j.para.fernandez en hotmail.com>> escribió: El problema es...

...PM To: Jesús Para Fernández <j.para.fernandez en hotmail.com> Cc: r-help-es en r-project.org <r-help-es en r-project.org> Subject: Re: [R-es] Mejor paquete machine learning Hola, Como se ha comentado ya, caret y mlr3 están bien. Pero yo empezaría a considerar el conjunto de paquetes ?tidymodels?. Como todo lo que hacen en RStudio, es opinable. Y yo opino que está muy bien. Está todavía en pañales, pero cuando lo acaben creo que va a ser una pasada. https://www.tidymodels.org Un saludo, Emilio L. Cano http://emilio.lcano.com El 31 jul 2020, a las 9:27, Jesús Para Fernández <j.pa...

Buenas He visto el paquete mlr3, pero se que hay algun otro del estilo. Cu?l usais vosotros y por qu?? Un saludo Get Outlook for Android<https://aka.ms/ghei36> [[alternative HTML version deleted]]

...der in the class vector?) is not the suitable one and it produces an error. Would there be some way to make the generic function to choice the correct method, or in case that for any method taken it produces an error, to try another one. For example (commented in detail here<https://github.com/tidymodels/broom/issues/714>): # object with multiple classes: the output of function `geepack::geeglm`. The output of `class(object)`: ``` [1] "geeglm" "gee" "glm" "lm" ``` The generic function: `stats::confint`. The S3 method chosen: `confint.glm`. It produ...

For what it's worth it looks like spm2 is specifically for *spatial* predictive modeling; presumably its version of CV is doing something spatially aware. I agree that glmnet is old and reliable. One might want to use a tidymodels wrapper to create pipelines where you can more easily switch among predictive algorithms (see the `parsnip` package), but otherwise sticking to glmnet seems wise. On 2023-10-23 4:38 a.m., Martin Maechler wrote: >>>>>> Jin Li >>>>>> on Mon, 23 Oct 2023 15...

...s vector?) is not the suitable one and it produces an error. Would there be some way to make the generic function to choice the correct method, or in case that for any method taken it produces an error, to try another one. > > > For example (commented in detail here<https://github.com/tidymodels/broom/issues/714>): > > > # object with multiple classes: the output of function `geepack::geeglm`. The output of `class(object)`: > > ``` > > [1] "geeglm" "gee" "glm" "lm" > > ``` > > The generic function: `stats::c...

...:15 UTC+2, Ben Bolker <bbolker at gmail.com> a ?crit : ? For what it's worth it looks like spm2 is specifically for *spatial* predictive modeling; presumably its version of CV is doing something spatially aware. ? I agree that glmnet is old and reliable.? One might want to use a tidymodels wrapper to create pipelines where you can more easily switch among predictive algorithms (see the `parsnip` package), but otherwise sticking to glmnet seems wise. On 2023-10-23 4:38 a.m., Martin Maechler wrote: >>>>>> Jin Li >>>>>>? ? ? on Mon, 23 Oct 2023 15...

...?crit : > > > > > > ? For what it's worth it looks like spm2 is specifically for *spatial* > predictive modeling; presumably its version of CV is doing something > spatially aware. > > ? I agree that glmnet is old and reliable.? One might want to use a > tidymodels wrapper to create pipelines where you can more easily switch > among predictive algorithms (see the `parsnip` package), but otherwise > sticking to glmnet seems wise. > > On 2023-10-23 4:38 a.m., Martin Maechler wrote: >>>>>>> Jin Li >>>>>>>...