> On Jun 26, 2016, at 1:03 PM, Lars Bishop wrote:
>
> Thanks, David. Sorry, do you mean this?
>
> library(nnet)
> set.seed(1)
> ysim <- gl(3, 100)
> y <- model.matrix(~ysim -1)
> X <- matrix( 3 * runif(length(ysim)), nrow = 300, ncol = 3)
> X_new <- matrix( 3 * runif(length(ysim)), nrow = 200,
Thanks, David. Sorry, do you mean this?
library(nnet)
set.seed(1)
ysim <- gl(3, 100)
y <- model.matrix(~ysim -1)
X <- matrix( 3 * runif(length(ysim)), nrow = 300, ncol = 3)
X_new <- matrix( 3 * runif(length(ysim)), nrow = 200, ncol = 3)
fit <- multinom(y ~ X, trace = FALSE)
pred <- predict(fit, se
> On Jun 26, 2016, at 12:39 PM, Lars Bishop wrote:
>
> Many thanks David. That works. Looks then this error will always occur in
> predict.multinom whenever the data argument is missing in the mutlinom fit,
> but the data argument is optional as per documentation.
I don't agree with that ana
Many thanks David. That works. Looks then this error will always occur in
predict.multinom whenever the data argument is missing in the mutlinom fit,
but the data argument is optional as per documentation.
Best,
Lars.
On Sun, Jun 26, 2016 at 3:14 PM, David Winsemius
wrote:
>
> > On Jun 26, 2016
Thanks, David.
That is very interesting, because ?multinom says that the value is:
"A nnet object with additional components: ..."
Of course I could have checked methods(predict), but I just took the
Help file at its word. Should it not be revised to say explicitly:
"An object of class 'multino
> On Jun 26, 2016, at 11:32 AM, Lars Bishop wrote:
>
> Thanks Bert.
>
> But I it doesn't complain when predict is used on X instead of X_new
> (using nnet_7.3-12), which is even more puzzling to me:
>
> pred <- predict(fit, X, type = "probs")
Indeed: There is a predict.multinom function and i
Thanks Bert.
But I it doesn't complain when predict is used on X instead of X_new
(using nnet_7.3-12), which is even more puzzling to me:
pred <- predict(fit, X, type = "probs")
head(pred)
ysim1 ysim2 ysim3
1 0.3059421 0.3063284 0.3877295
2 0.3200219 0.3202551 0.3597230
3 0.3452414 0.3451
Well, for one thing, there is no "probs" method for predict.nnet, at
least in my version: nnet_7.3-12
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
Hello,
I'd appreciate your help in spotting the reason for the error and warning
messages below.
library(nnet)
set.seed(1)
ysim <- gl(3, 100)
y <- model.matrix(~ysim -1)
X <- matrix( 3 * runif(length(ysim)), nrow = 300, ncol = 3)
X_new <- matrix( 3 * runif(length(ysim)), nrow = 200, ncol = 3)
fi
9 matches
Mail list logo
