Re: Understanding Hello_TP.py

2014-09-12 Thread Nicholas Mitri
Temporal Memory is actually behaving as expected. If you look at the log below, multiple predictions correspond to output of TP (predictive states), best prediction to classifier output. The TP is perfectly predicting the next character. The classifier on the other hand is almost always off (ev

Re: Understanding Hello_TP.py

2014-09-11 Thread Chetan Surpur
Hi Nick, I'm not sure what's wrong. The first thing I would check is temporal memory parameters. - Chetan On Sun, Sep 7, 2014 at 2:04 PM, Nicholas Mitri wrote: > Hey all, > I m bumping this thread for the after weekend activity and would like to add > on some more inquiries. > I modif

Re: Understanding Hello_TP.py

2014-09-10 Thread Nicholas Mitri
Thanks Chetan! I’ll take a look at the files you recommended. Any hints as to why the classifier is performing so poorly? Considering that the classifier learns by building probability distributions, I thought higher training passes would make it perform better. Even at 1000 passes though, it’s

Re: Understanding Hello_TP.py

2014-09-09 Thread Chetan Surpur
Also, if you play with extensive_temporal_memory_test.py, try adding VERBOSITY = 2 at the class level. On Tue, Sep 9, 2014 at 3:20 PM, Chetan Surpur wrote: > Hi Nick, >>> 1) Why are there no predictive states being seen for the first training >>> pass (i.e. seeing the entire sequence once)? Ev

Re: Understanding Hello_TP.py

2014-09-09 Thread Chetan Surpur
Hi Nick, >> 1) Why are there no predictive states being seen for the first training pass >> (i.e. seeing the entire sequence once)? Even if activationThreshold and >> minThreshold are set sufficiently low to make segments sensitive, no lateral >> activation happens. Are cells initialized wit

Re: Understanding Hello_TP.py

2014-09-07 Thread Nicholas Mitri
Hey all,I m bumping this thread for the after weekend activity and would like to add on some more inquiries. I modified hello_tp.py and added a sequence generator:generate_seqs(items, seq_num, seq_length, replacement, reproduceable)e.g. generate_seqs(‘ABCDE', 5, 4, True, True) produces the sequence

Understanding Hello_TP.py

2014-09-04 Thread Nicholas Mitri
Hey all, I’d like to dedicate this thread for discussing some TP implementation and practical questions, namely those associated with the introductory file to the TP, hello-tp.py. Below is the print out of a TP with 50 columns, 1 cell per column being trained as described in the py file for