Derivate R package
I'm trying to derivate a function in R using the Deriv package. The function is a weighted gaussian kernel, so I implemented the following solution :
library(Deriv)
library(psych)
x <- matrix(0:19, nrow = 4, ncol = 5)
w <- c(1,0.5,1,0.1,0.5)
eudis = function(x) {
xp2 <- as.matrix(apply(x^2, 1, sum))
xp2 %+% t(xp2) - 2*x%*%t(x)
}
wf <- function(w, x, gamma=1) {
exp(-gamma*as.matrix(eudis(t(t(x) * w))))
}
Deriv(wf(w,x=x), "w")
But this is returning an error :
Error in eval(expr) : dim(X) must have a positive length
I have the impression, Deriv can only compute basic function. How can I automatically compute the derivative of a kernel function ?
r derivative
asked Nov 19 '18 at 12:51
user1595929user1595929
3401312
add a comment |
I'm trying to derivate a function in R using the Deriv package. The function is a weighted gaussian kernel, so I implemented the following solution :
library(Deriv)
library(psych)
x <- matrix(0:19, nrow = 4, ncol = 5)
w <- c(1,0.5,1,0.1,0.5)
eudis = function(x) {
xp2 <- as.matrix(apply(x^2, 1, sum))
xp2 %+% t(xp2) - 2*x%*%t(x)
}
wf <- function(w, x, gamma=1) {
exp(-gamma*as.matrix(eudis(t(t(x) * w))))
}
Deriv(wf(w,x=x), "w")
But this is returning an error :
Error in eval(expr) : dim(X) must have a positive length
I have the impression, Deriv can only compute basic function. How can I automatically compute the derivative of a kernel function ?
r derivative
asked Nov 19 '18 at 12:51
user1595929user1595929
3401312
you might have to do this one by hand ...
– Ben Bolker
Nov 19 '18 at 13:05
Yes, it might be possible, but I would like to automize the process. To be able to compute multiple kernel functions. This function is an exemple but it could be a different one. There is no package in R close to what can do autograd in python ?
– user1595929
Nov 19 '18 at 13:29
try the "madness" package, or possibly TMB ...
– Ben Bolker
Nov 19 '18 at 13:47
add a comment |
I'm trying to derivate a function in R using the Deriv package. The function is a weighted gaussian kernel, so I implemented the following solution :
library(Deriv)
library(psych)
x <- matrix(0:19, nrow = 4, ncol = 5)
w <- c(1,0.5,1,0.1,0.5)
eudis = function(x) {
xp2 <- as.matrix(apply(x^2, 1, sum))
xp2 %+% t(xp2) - 2*x%*%t(x)
}
wf <- function(w, x, gamma=1) {
exp(-gamma*as.matrix(eudis(t(t(x) * w))))
}
Deriv(wf(w,x=x), "w")
But this is returning an error :
Error in eval(expr) : dim(X) must have a positive length
I have the impression, Deriv can only compute basic function. How can I automatically compute the derivative of a kernel function ?
r derivative
asked Nov 19 '18 at 12:51
user1595929user1595929
3401312
I'm trying to derivate a function in R using the Deriv package. The function is a weighted gaussian kernel, so I implemented the following solution :
library(Deriv)
library(psych)
x <- matrix(0:19, nrow = 4, ncol = 5)
w <- c(1,0.5,1,0.1,0.5)
eudis = function(x) {
xp2 <- as.matrix(apply(x^2, 1, sum))
xp2 %+% t(xp2) - 2*x%*%t(x)
}
wf <- function(w, x, gamma=1) {
exp(-gamma*as.matrix(eudis(t(t(x) * w))))
}
Deriv(wf(w,x=x), "w")
But this is returning an error :
Error in eval(expr) : dim(X) must have a positive length
I have the impression, Deriv can only compute basic function. How can I automatically compute the derivative of a kernel function ?
r derivative
r derivative
asked Nov 19 '18 at 12:51
user1595929user1595929
3401312
asked Nov 19 '18 at 12:51
user1595929user1595929
3401312
asked Nov 19 '18 at 12:51
user1595929user1595929
3401312
asked Nov 19 '18 at 12:51
user1595929user1595929
3401312
asked Nov 19 '18 at 12:51
user1595929user1595929
3401312
3401312
you might have to do this one by hand ...
– Ben Bolker
Nov 19 '18 at 13:05
Yes, it might be possible, but I would like to automize the process. To be able to compute multiple kernel functions. This function is an exemple but it could be a different one. There is no package in R close to what can do autograd in python ?
– user1595929
Nov 19 '18 at 13:29
try the "madness" package, or possibly TMB ...
– Ben Bolker
Nov 19 '18 at 13:47
add a comment |
you might have to do this one by hand ...
– Ben Bolker
Nov 19 '18 at 13:05
Yes, it might be possible, but I would like to automize the process. To be able to compute multiple kernel functions. This function is an exemple but it could be a different one. There is no package in R close to what can do autograd in python ?
– user1595929
Nov 19 '18 at 13:29
try the "madness" package, or possibly TMB ...
– Ben Bolker
Nov 19 '18 at 13:47
you might have to do this one by hand ...
– Ben Bolker
Nov 19 '18 at 13:05
you might have to do this one by hand ...
– Ben Bolker
Nov 19 '18 at 13:05
Yes, it might be possible, but I would like to automize the process. To be able to compute multiple kernel functions. This function is an exemple but it could be a different one. There is no package in R close to what can do autograd in python ?
– user1595929
Nov 19 '18 at 13:29
Yes, it might be possible, but I would like to automize the process. To be able to compute multiple kernel functions. This function is an exemple but it could be a different one. There is no package in R close to what can do autograd in python ?
– user1595929
Nov 19 '18 at 13:29
try the "madness" package, or possibly TMB ...
– Ben Bolker
Nov 19 '18 at 13:47
try the "madness" package, or possibly TMB ...
– Ben Bolker
Nov 19 '18 at 13:47
add a comment |
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you might have to do this one by hand ...
– Ben Bolker
Nov 19 '18 at 13:05
Yes, it might be possible, but I would like to automize the process. To be able to compute multiple kernel functions. This function is an exemple but it could be a different one. There is no package in R close to what can do autograd in python ?
– user1595929
Nov 19 '18 at 13:29
try the "madness" package, or possibly TMB ...
– Ben Bolker
Nov 19 '18 at 13:47