I am working on a prediction at the moment and I have some questions about the parameters and couldn’t find any explanation so far. Soo some help would be really appreciated.
a) What would a BoostingStrength of 0.5 mean? Would this just weaken ALL columns?
b) Does a BoostingStrength = 1 have any effect on the system? Does this just prohibit the overacttive columns from learning without strengthen the weaker ones?
c) How can I decide about the value of BoostingStrength? under which conditions does boosting make sense? How can I see this in my data?
d) Does the system automatically calculate the individual BoostingStrength for each column? and do all the columns get a boostfactor automatically? (in HTM School video it looks like this)
So far I just worked with the radius for datetime encoders.
a) How can I know which radius is a good choice? Do I have to check my data and see for shared spikes? What I mean is: On one day I have a spike around 10 am. The next day it is at 10:45. The day after around 10:15. So I would choose a radius of 1 hour (so rad = 4 in timeOfDay Encoder).
What else do I have to consider?
Espacially for the dayOfWeek Encoder in am confused how to decide… is there any common choice which normally works?
3. costumDays encoder:
a) how does the encoder for custom days work?
Say i want to have a w=21 and my days are [“Saturdays”, “Sundays”]. What is the n for this particular encoder?
Is it 42: I have 21 bits 0 and 21 bits 1 for Saturdays and Sundays. (the opposite for Monday-Friday).
Or ist it 63: I would have 42 bits 0 (Monday-Friday and Sunday) and 21 bits 1 for Saturdays.
b) If I just have 42 bits in total for this encoder: Is it then the same as the weekend encoder?
And what is a good solution then to seperate between Saturday and Sunday very strictly?
This is under encoders:
a) Where can I find out more about this? I am not sure what will be encoded here…
Thank you all very much in advance for your help.