You might be able to use:
sp.getInputData('bottomUpIn')
I'm not sure if the input is saved reliably though.
--Subutai
On Wed, Dec 3, 2014 at 5:03 PM, Chandan Maruthi <[email protected]>
wrote:
> Sabutai,
> I am using the Network Api.
>
> This code sp = net.regions.get('SP', None)
>
> Lets me get access to the Sp object i guess. From there i am unable to
> find a function to provide Sp input given an sp output. Does that make
> sense
>
>
> Chandan
>
>
> On Wednesday, December 3, 2014, Subutai Ahmad <[email protected]> wrote:
>
>> Hi Chandan,
>>
>> Are you using the OPF? If so, you should be able to do something like the
>> following:
>>
>> sensor = model._getSensorRegion()
>> sensor.getOutputData('dataOut') # numpy array with the current sensor
>> output
>>
>> sp = model._getSPRegion()
>> sp.getOutputData('bottomUpOut') # current SP output
>>
>> Otherwise if you are using the Network API directly, you can get the SP,
>> sensor, etc. with calls something like:
>>
>> sp = net.regions.get('SP', None)
>>
>> --Subutai
>>
>> On Wed, Dec 3, 2014 at 4:36 PM, Chandan Maruthi <
>> [email protected]> wrote:
>>
>>> Hi,
>>> I have a question on Spatial Pooler Reconstruction /Decoding/
>>> Classification question
>>>
>>> I am using a HTM network with 1 sensor, 1 spatial pooler and 1 temporal
>>> pooler.
>>> I see that I can get the predicted temporal columns, which are the same
>>> as the spatial pooler output.
>>> Now I want the corresponding spatial pooler input which essentially is
>>> the encoder output
>>> so i can decode it and get the actual raw value.
>>>
>>> I am unable to find a function to get the SP input from a given SP
>>> output. what am I missing?
>>> I am tending to write some code to create a mapper to store SP input and
>>> outputs is that the way to go?
>>>
>>> Regards
>>> Chandan
>>>
>>>
>>
