ok. I stopped using swarming because it takes an enternity to run in my computer. But I'll give it a try again. I thought also in using some statistical way to shorten the min/max range.
My other question is about **n** and **w** values: If I understood correctly, the encoded value should have overlapping bits to represent semantic similar values. Lets consider two different n/w settings: 1) n = 10; w = 3. in such a way that it represents number 1 as: [1 1 1 0 0 0 0 0 0 0] And number 2 as: [0 1 1 1 0 0 0 0 0 0] They (1 and 2) have 2 overlapping bits. 2) n = 30; w = 5 in such a way that it represents number 1 as: [1 1 1 1 1 0 0 0 0 ....] And number 2 as: [0 0 0 1 1 1 1 1 0 0 0 0 0 .....] Again the numbers 1 and 2 have 2 overlapping bits. Comparing the two settings, should they give similar results? 2015-01-19 20:57 GMT-03:00 Subutai Ahmad <[email protected]>: > > You should set it to 15/50. You can fine tune the resolution of the > encoder through swarming for best prediction accuracy. > > --Subutai > > On Sun, Jan 18, 2015 at 8:22 AM, Ricardo Franco <[email protected]> > wrote: > >> Hello. Let me start with minValue and maxValue: >> >> Lets say I'm dealing with my city's temperature. >> I know the range is about 15º ~ 50º. The temperature never goes below 15 >> or above 50. I know this because I live here. >> >> Then I'll train my model using the last 4 months. In this period the >> temperature ranged at 21º ~ 38º >> >> I'll make predictions for the next days/weeks. >> >> Which values should I set for minValue and maxValue? >> >> minValue = 15 >> maxValue = 50 >> >> or >> >> minValue = 21 >> maxValue = 38 >> >> -- >> >> Ricardo Franco Andrade >> >> *Web Developer* >> >> email: [email protected] >> skype: ricardo.krieg >> phone: +55 (86) 9569 8521 >> linkedin: http://br.linkedin.com/in/ricardokrieg/ >> github: https://github.com/ricardokrieg >> >> >> > -- Ricardo Franco Andrade *Web Developer* email: [email protected] skype: ricardo.krieg phone: +55 (86) 9569 8521 linkedin: http://br.linkedin.com/in/ricardokrieg/ github: https://github.com/ricardokrieg
