The "open" button is disabled. I can only either "cancel" or click on "new
folder". I'll create the issue for this.

Mika

On Tue, Oct 7, 2014 at 7:48 AM, David Ragazzi <[email protected]>
wrote:

> Hi Mika,
>
> Don't worry about this... You can click on "Open" button to save.. I have
> to change the label of this dialog form to "Save", but I stilll don't know
> how do this using PyQt FileDialogs. Could you create an issue for this?
>
> Regards, David
>
> On 7 October 2014 01:46, Mika Schiller <[email protected]> wrote:
>
>> David,
>>
>> I'm testing out nupic studio and following the instructions on the nupic
>> studio wiki for how to save a project but am unable to save my project. I
>> do File > Save Project, but the window that opens seems to be a window to
>> open a project. There is nowhere to type in the project name and save. I've
>> attached a screenshot of what that looks like. I even added a text file
>> with SDR vectors, thinking that perhaps it needs to detect a file
>> attachment first, but I still can't save the project. Am I missing
>> something obvious here?
>>
>> Mika
>>
>> On Mon, Oct 6, 2014 at 7:49 AM, David Ragazzi <[email protected]>
>> wrote:
>>
>>> Hi Guys,
>>>
>>> As I said in previous messages, I have been working on NuPIC encoders
>>> integration to NuPIC Studio. The proof of concept is create a project for
>>> HotGym example which use 2 types of encoders (DateEncoder and
>>> RandomDistScalarEncoder). However, during this work I had some problems
>>> that delayed (a lot) my job:
>>>
>>> 1. HotGym is a neural network with 2048 columns * 32 cells: this means
>>> 65536 objects to be shown (without mention to sensor bits)! Because this
>>> big number of objects, the simulations was very, very slow. My solution was
>>> hiding inactive cells and show all proximal segments in order to user
>>> visualize the limits of the network without loose performance. I don't like
>>> this kind of visualization (I like hide inactive proximal segments and show
>>> all cells), but this was the only soultion that I've found (at least,
>>> temporarily).
>>>
>>> 2. RandomDistScalarEncoder is a delta encoder (.i.e. its min and max
>>> values change along time) and due to classifier code to handle this is kind
>>> of predictions be entirely Numenta code and the same code is not importable
>>> (it's located at CLAModel.py), I can't simply replicate this code due to
>>> copyright issues. So, I'm using the original ScalarEncoder as it can
>>> replace RDSE and perform well the same job (thank for this, Scott!).
>>>
>>> The two jobs above are solved, now the next challenge is optimize the
>>> front-end OO code which handle NuPIC in order to work faster.
>>>
>>> Regarding video tutorial, Matt kindly will create it on his free time,
>>> but due to the encoders integration still is not done, I asked to him to
>>> hold on. In meantime, anyone is able to handle pure HTM inputs without
>>> encoders, i.e. pure arrays of 0's and 1's as shown in "Squares" project.
>>> Have fun!
>>>
>>> Finally, I'd like apologize you guys due to my delay to answer some
>>> questions sent in private and public boxes, as you have seen there's a
>>> plenty of work to a single person do. So, please be patient.. :-(
>>>
>>> Best wishes,
>>> --
>>> David Ragazzi
>>> MSc in Sofware Engineer (University of Liverpool)
>>> OS Community Commiter at Numenta.org
>>> --
>>> "I think James Connolly, the Irish revolutionary, is right when he says that
>>> the only prophets are those who make their future. So we're not
>>> anticipating, we're working for it."
>>>
>>
>>
>
>
> --
> David Ragazzi
> MSc in Sofware Engineer (University of Liverpool)
> OS Community Commiter at Numenta.org
> --
> "I think James Connolly, the Irish revolutionary, is right when he says that
> the only prophets are those who make their future. So we're not
> anticipating, we're working for it."
>

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