Dear Frauke,
Thank you very much for taking the time to respond.
You explanation was very helpful, and I now have that part figured out!
Best Wishes,
Dan
Frauke
Message: 3
Date: Mon, 12 Oct 2020 08:33:44 +0200 (CEST)
From: =?UTF-8?Q?Frauke_G=C3=BCnther?= <guenther at leibniz-bips.de>
To: "r-help at r-project.org" <r-help at r-project.org>
Cc: William Michels <wjm1 at caa.columbia.edu>, "smm at
posteo.org"
<smm at posteo.org>
Subject: Re: [R] Fwd: Help using the exclude option in the neuralnet
package
Message-ID: <957726669.124476.1602484424752 at srvmail.bips.eu>
Content-Type: text/plain; charset="utf-8"
Dear all,
the exclude and constant.weights options are used as follows:
exclude: A matrix with n rows and 3 columns will exclude n weights. The the
first column refers to the layer, the second column to the input neuron and the
third column to the output neuron of the weight.
constant.weights: A vector specifying the values of the weights that are
excluded from the training process and treated as fix.
Please refer to the following example:
Not using exclude and constant.weights (all weights are trained):
> nn <- neuralnet(Species == "setosa" ~ Petal.Length +
Petal.Width,
> iris, linear.output = FALSE)
>
> nn$weights
[[1]]
[[1]][[1]]
[,1]
[1,] 6.513239
[2,] -0.815920
[3,] -5.859802
[[1]][[2]]
[,1]
[1,] -4.597934
[2,] 9.179436
Using exclude (2 weights are excluded --> NA):
> nn <- neuralnet(Species == "setosa" ~ Petal.Length +
Petal.Width,
> iris, linear.output = FALSE,
exclude = matrix(c(1,2,1, 2,2,1),byrow=T, nrow=2))> nn$weights
[[1]]
[[1]][[1]]
[,1]
[1,] -0.2815942
[2,] NA
[3,] 0.2481212
[[1]][[2]]
[,1]
[1,] -0.6934932
[2,] NA
Using exclude and constant.weights (2 weights are excluded and treated as fix
--> 100 and 1000, respectively):
> nn <- neuralnet(Species == "setosa" ~ Petal.Length +
Petal.Width,
> iris, linear.output = FALSE,
exclude = matrix(c(1,2,1, 2,2,1),byrow=T, nrow=2),
constant.weights=c(100,1000))> nn$weights
[[1]]
[[1]][[1]]
[,1]
[1,] 0.554119
[2,] 100.000000
[3,] 1.153611
[[1]][[2]]
[,1]
[1,] -0.3962524
[2,] 1000.0000000
I hope you will find this example helpful.
Sincerely,
Frauke
> William Michels <wjm1 at caa.columbia.edu mailto:wjm1 at
caa.columbia.edu > hat am 10.10.2020 18:16 geschrieben:
>
>
> Forwarding: Question re "neuralnet" package on the R-Help
mailing list:
>
> https://stat.ethz.ch/pipermail/r-help/2020-October/469020.html
>
> If you are so inclined, please reply to:
>
> r-help at r-project.org mailto:r-help at r-project.org
> <r-help at r-project.org mailto:r-help at r-project.org >
>
> ---------- Forwarded message ---------
> From: Dan Ryan <Dan.Ryan at unbc.ca mailto:Dan.Ryan at unbc.ca >
> Date: Fri, Oct 9, 2020 at 3:52 PM
> Subject: Re: [R] Help using the exclude option in the neuralnet package
> To: r-help at r-project.org mailto:r-help at r-project.org
> <r-help at r-project.org mailto:r-help at r-project.org >
>
> Good Morning,
>
> I am using the neuralnet package in R, and am able to produce some
> basic neural nets, and use the output.
>
> I would like to exclude some of the weights and biases from the
> iteration process and fix their values.
>
> However I do not seem to be able to correctly define the exclude and
> constant.weights vectors.
>
> Question: Can someone point me to an example where exclude and
> contant.weights are used. I have search the R help archive, and
> haven't found any examples which use these on the web.
>
> Thank you in advance for any help.
>
> Sincerely
>
> Dan
>
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>
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