hi guys what are a good tests for testing Spatial pooler functionality ! I'm implementing spatial pooler on my own for learning experience and want to test if it works.
I'm trying at the moment the Digits db from scikit learn. What I'm doing currently is to train the system then predict SDR from different sets of 0-9 digits and compare their SDR's to see how many overlapping bits the different SDR's have. (i.e. overlapping_bits_count(set1-Zero, set5-Zero) ....) I'm also interested how many of 2% of 2000 bits i.e. of 40 possible bits how many are considered a good match. I haven't tried out but I would want to be able do some Clustering and/or Classification !??! It is just hard to wrap around my head how to do this with SDR as compared to normal machine learning (X,y) pairs ! Any ideas on that too ? I have some but wanna hear of you can think of how do you do those with SDR's rather than (X,y) pair. F.e. every bit in SDR is a feature which you can group on (i.e. cluster), you just have to figure out based on the data which combination of bits occur most often and do the clustering around them. One way to do Classification can be done if the "Spatial spooler" does selective learning (by adding a "proximal"-input which allows learning only at 1's to this input). and so on .... there seems to be myriad of ways of doing it. So any good test data and test scenarios...?? -------| http://ifni.co
