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Date: Wed, 9 Sep 2015 21:56:45 +0000 (UTC)
From: "Ole Ersoy (JIRA)" <jira@apache.org>
To: issues@commons.apache.org
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Subject: [jira] [Commented] (MATH-1267) Grid coordinate of "Neuron" that
 belongs to a "NeuronSquareMesh2D"
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    [ https://issues.apache.org/jira/browse/MATH-1267?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14737657#comment-14737657 ] 

Ole Ersoy commented on MATH-1267:
---------------------------------

I think asking the question 'Does it support being laid out visually' will be true no matter what the structure of the classes are.  Java is bendable.  We can always come up with a solution.  I think it's useful to look at an API design using metaphors.  The Neuron2D is a metaphor for the piece of the Neuron that we like to think of as visual, whether it is  being displayed on a device or just conceptually.

Neuron2D coordinates need to be updated if the Network configuration is changed.  IIUC this is the case in general as well?

I think the driver for the final design is:
-  Is it useful to be able to retrieve row and column coordinates from a Neuron2D instances?
- When working with Neuron2D instances, is it useful to be able to retrieve the corresponding Neuron?

So we have to match this up against the process of working with the LocationFinder.  You have the most insight here, so if the LocationFinder is easier to work with, then that is probably the way to go.

> Grid coordinate of "Neuron" that belongs to a "NeuronSquareMesh2D"
> ------------------------------------------------------------------
>
>                 Key: MATH-1267
>                 URL: https://issues.apache.org/jira/browse/MATH-1267
>             Project: Commons Math
>          Issue Type: Wish
>            Reporter: Gilles
>            Assignee: Gilles
>            Priority: Minor
>             Fix For: 4.0, 3.6
>
>         Attachments: LocationFinder.java
>
>
> When the network layout is a 2D grid, it useful to be able to retrieve the grid coordinate (row, column) of a a neuron.
> I propose to define a new class "LocationFinder" (in package "o.a.c.m.ml.neuralnet.twod.util") that will provide the functionality through a "getLocation(Neuron n)" method.


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