On Tue, Sep 30, 2014 at 11:16 AM, John Blackburn <[email protected] > wrote:
> Thanks very much, Matthew. You indeed have made good progress! Do you > think the model is currently attempting to infer future tilt from past > temperature? > > >> "and the model params it returned did not include any correlation > between Tilt_06 and any temperature inputs" > Do you mean the HTM swarming did not discover any correlation between tilt > and previous temperature? If so that is a problem... > Quoting Subutai: "Note that if temperature(t) is completely correlated with tilt(t), adding temperature(t) will not help, because the information is already available in tilt(t)." I think this may be the case. > > >> "but the model is not getting trained enough" This seems to be what we > observed as well. The HTM seemed to be constantly surprised by the new data > and anomaly score did not go down. If we switched off learning, the > predictions almost immediately became very poor meaning (I think) the model > was constantly having to learn each new sequence as it came along and was > not generalising the data. It never seemed to gain a real understanding > however long it was trained for. > I believe we I just need to do some more experiments with swarming and using different model parameters. If the params are wrong, the training won't help learning. More experimentation is needed. --------- Matt Taylor OS Community Flag-Bearer Numenta
