Thanks a lot Aakash. I tried compiling and found that the KFoldCV/SimpleCV strategy does not support FFNs. I presume that the best way forward is to perform the searching myself.
Thanks, Ambica From: mlpack <[email protected]> On Behalf Of Aakash kaushik Sent: 07 November 2020 23:46 To: [email protected] Subject: Re: [mlpack] Tutorial for HyperParameterTuning for FFNs (Ambica Prasad) Hey Ambica So There is not a specific tutorial available for that but you can always put the layer size in an array and loop over that for variable layers sizes or you can sample random integers from a range and for layer numbers I believe you have to change them manually every time but not totally sure about it. Best, Aakash On Sat, Nov 7, 2020 at 10:30 PM <[email protected]<mailto:[email protected]>> wrote: Send mlpack mailing list submissions to [email protected]<mailto:[email protected]> To subscribe or unsubscribe via the World Wide Web, visit http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack or, via email, send a message with subject or body 'help' to [email protected]<mailto:[email protected]> You can reach the person managing the list at [email protected]<mailto:[email protected]> When replying, please edit your Subject line so it is more specific than "Re: Contents of mlpack digest..." Today's Topics: 1. Tutorial for HyperParameterTuning for FFNs (Ambica Prasad) ---------- Forwarded message ---------- From: Ambica Prasad <[email protected]<mailto:[email protected]>> To: "[email protected]<mailto:[email protected]>" <[email protected]<mailto:[email protected]>> Cc: Bcc: Date: Sat, 7 Nov 2020 02:36:39 +0000 Subject: [mlpack] Tutorial for HyperParameterTuning for FFNs Hi Guys, Is there an example or a tutorial that explains how to perform the hyperparameter tuning for FFNs, where I can evaluate the network on different number of layers and layer-sizes? Thanks, Ambica IMPORTANT NOTICE: The contents of this email and any attachments are confidential and may also be privileged. If you are not the intended recipient, please notify the sender immediately and do not disclose the contents to any other person, use it for any purpose, or store or copy the information in any medium. Thank you. _______________________________________________ mlpack mailing list [email protected]<mailto:[email protected]> http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack IMPORTANT NOTICE: The contents of this email and any attachments are confidential and may also be privileged. If you are not the intended recipient, please notify the sender immediately and do not disclose the contents to any other person, use it for any purpose, or store or copy the information in any medium. Thank you.
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