search for: parsnip

Displaying 5 results from an estimated 5 matches for "parsnip".

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2011 Feb 18
1
plot3d, color points by group
...change the color of the points based on a factor (see 'group' below). Is such a thing possible? My data look like this: food group x y z apple fruit 0.216 -0.112 -0.893 orange fruit 0.814 0.097 0.460 broccoli veg -0.239 0.240 -0.425 banana fruit 0.222 0.968 -0.050 parsnip veg 0.139 0.897 0.378 garlic veg -0.104 0.510 -0.400 pca <- read.table(... p3d<- plot3d(pca$x, pca$y, pca$z, xlab="Component 1", ylab="Component 2", zlab="Component 3", col="blue",box=FALSE, size=5) food.v<-as.vector(pca$food) text3d(pca$x...
2023 Oct 23
2
running crossvalidation many times MSE for Lasso regression
...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 15:42:14 +1100 writes: > > > If you are interested in other validation methods (e.g., LOO or n-f...
2023 Oct 23
1
running crossvalidation many times MSE for Lasso regression
...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 15:42:14 +1100 writes: > >? ? ? > If you are interested in other validation methods (e.g., LOO or n-f...
2023 Oct 24
1
running crossvalidation many times MSE for Lasso regression
...al* > 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 15:42:14 +1100 writes: >> >> ? ? ? > If you are interested in other val...
2020 Jul 31
5
Mejor paquete machine learning
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]]