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