the description.py file tells (in OPF format) the model factory how to set
up a region.
It consists of the following :
Encoder --> (optional) SP --> (opt) TP --> Classifier
The format is something like JSON:
{
{sensor: 'encoder': 'ScalarEncoder' ,...}
{SP: ...}
{TP: ...}
{Classifier: ...}
}
I think adding support for "linear hierarchy" wouldn't be much pain and
will be easy gain.
By linear hierarchy I mean stacking multiple SPs and TPs upon each other. (
encoder->SP->TP->SP-TP->Classifier).
By non-linear hierarchy I would mean :
C
/ \
A B
This linear hierarchy would be easy for users to set up, just write more
Sp,TP entries in the description.py (it should respect the order added).
Advantage would be forming of more stable patterns which come with higher
hierarchy layers.
--
Marek Otahal :o)
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