Can't compile

[julienmarie]

Hello,
circuit.erl fails on compilation ( on erlang 17 ) ( after a long series of warnings ). Any idea ?

[CorticalComputer]

I was working on a number of new elements before making that last upload,
and have not uploaded the final version. I'll try to do so today.

circuit.erl is not needed if the more advanced features are not used
(modular neural networks, preprocessors...). So you can skip it for now,
same with the complex.erl, and whatever else does not compile, can be
skipped with the system continuing to work just fine. The modules that are
not compiling were those that I was actively modifying before I made that
last upload.

On Fri, Jul 4, 2014 at 7:05 AM, julienmarie notifications@github.com
wrote:

Hello,
circuit.erl fails on compilation ( on erlang 17 ) ( after a long series of
warnings ). Any idea ?

—
Reply to this email directly or view it on GitHub
#2.

[TeemuPentinsaari]

Hi guys! Any timetable for this fix?

[CorticalComputer]

The system works with the non-compiling modules due to those modules
non-essential nature. What file do you need to be fixed for system's
functionality? I can send those files to you directly. The system as is, is
fully functional without the non-compiling files, only the experimental and
un-needed/unused files are not working since they are... experimental, and
undocumented either way, in which I am exploring modular and unsupervised
learning. I can create a separate track where I simply cut out all the
files that are not necessary for standard functionality, and in which I am
exploring new features (for example, circuit has code for deep learning,
convolutional networks, stacked denoising autoencoders, applications of the
same to bioinformatics... They are not yet documented in DXNN2, thus need
not be worried about, same for complex.erl...).

On Tue, Aug 5, 2014 at 9:17 PM, TeemuPentinsaari notifications@github.com
wrote:

Hi guys! Any timetable for this fix?

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#2 (comment)
.

[julienmarie]

Hi Gene,

Indeed it would be really useful to have a separate branch for a clean
build :)

Thanks!

Julien

2014-08-11 12:32 GMT+08:00 Gene notifications@github.com:

The system works with the non-compiling modules due to those modules
non-essential nature. What file do you need to be fixed for system's
functionality? I can send those files to you directly. The system as is,
is
fully functional without the non-compiling files, only the experimental
and
un-needed/unused files are not working since they are... experimental, and
undocumented either way, in which I am exploring modular and unsupervised
learning. I can create a separate track where I simply cut out all the
files that are not necessary for standard functionality, and in which I am
exploring new features (for example, circuit has code for deep learning,
convolutional networks, stacked denoising autoencoders, applications of
the
same to bioinformatics... They are not yet documented in DXNN2, thus need
not be worried about, same for complex.erl...).

On Tue, Aug 5, 2014 at 9:17 PM, TeemuPentinsaari notifications@github.com

wrote:

Hi guys! Any timetable for this fix?

—
Reply to this email directly or view it on GitHub
<
https://github.com/CorticalComputer/DXNN2/issues/2#issuecomment-51282931>
.

—
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#2 (comment)
.

Julien Marie

jm@producture.com
skype : thewiseup
+63 917 511 8258

Book an appointment with me :
Face to face meeting : https://www.timetrade.com/book/BM8SN
Phone call : https://www.timetrade.com/book/KVW52

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[ausrasul]

Hi Gene,
Thanks for your answer the other day.

I found out that if I exclude the circuit.erl and other non-compilable files, the framework works, but you can't use plasticity like neuromodulation and all others.

The reason is that you added two zeros in the neuron weight tuple,
it was {Weight, PlasticityFunction} and now it is {Weight, 0, 0, PlasticityFunction}.
See genotype.erl line 210.

The commit that introduced this change is:

• commit 7ae6238
  | Author: Gene I. Sher CorticalComputer@gmail.com
  | Date: Sat Nov 30 02:57:49 2013 -0500
  |
  | Add circuits, deep learning, llvm phase orderer, and complex functoins.

How do I go around this? just remove the zeros? It is difficult to see if this work around will have other side effects.

Appreciate the help.

[ausrasul]

Now I can see that neuron.erl uses the new weight format:
neuron.erl line 271
perturb_weightsP(Spread,MP,[{W,PDW,LP,LPs}|Weights],Acc)->

So it is the plasticity.erl that should be fixed... not sure how.