On 05/18/2015 06:36 AM, Matthew Taylor wrote:
A short answer for now, hopefully I can give a longer response
tomorrow from the office.
First of all, if you haven't read these docs, read them:
- https://github.com/numenta/nupic/wiki/Online-Prediction-Framework
- https://github.com/numenta/nupic/wiki/Using-NuPIC
Specifically, there is a section at
https://github.com/numenta/nupic/wiki/Online-Prediction-Framework#model-output-the-modelresult-object
that talks about the model results you are asking about.
2nd, we have a search page at
http://numenta.org/search.html?q=modelresults that might help you
serve yourself as you have further questions. It indexes our source
code, wiki, website, and mailing list archives.
Regards,
---------
Matt Taylor
OS Community Flag-Bearer
Numenta
On Sun, May 17, 2015 at 6:04 PM, Wakan Tanka <[email protected]> wrote:
Hello guys,
I've been searching in mailing list but did not get the answer, I'm not sure
if this should go here or [email protected] because it overlaps
with theory. I decided to post here because it is probably more practical.
Can anybody explain the csv file which is generated by swarm proces +
running model? I am using tutorial from here:
https://www.youtube.com/watch?v=KuFfm3ncEwI
https://github.com/rhyolight/nupic.examples/tree/master/sine-prediction
and my csv file is looks like this:
http://termbin.com/k4pu
CSV Fields:
###########
# Original values, specific to this case
# why is there string instead of float
angle
sine
# what is this?
multiStepPredictions.actual
# What is this?
# Does it contains two values separated by : (for angle and sin) ?
multiStepPredictions.1
# Is this field some type of score that is
# assigned based on what was expected an what really comes?
# Does it contains two values separated by : (for angle and sin) ?
anomalyScore
# What is this?
multiStepBestPredictions.actual
# From the mentioned video I've figured out that this is the best
# prediction (chosen from multiple that was generated by swarming)
# for one step.
# How This is related to anomaly score?
multiStepBestPredictions.1
# This field has type "string" and it contains records like:
# []
# 0.0314107590781
# 0.21814324139654254: 0.043062200956937892
anomalyLabel
# This field has type "float" and it contains the same records
# types like anomalyLabel. So why it is once string and second float?
# I think this is specific to this case
multiStepBestPredictions:multiStep:errorMetric='altMAPE':steps=[1]:window=1000:field=sine
# I think this is specific to this case
multiStepBestPredictions:multiStep:errorMetric='aae':steps=[1]:window=1000:field=sine
What about the other columns that does not have header?
Here is described the NuPIC Input Data File Format. There is said that it is
required for running swarms and OPF but I assume the actual output of
swarming + running model gives the same format (three first rows == header)
https://github.com/numenta/nupic/wiki/NuPIC-Input-Data-File-Format
PS: the fields of csv are optional or they are hard coded for every csv
being generated e.g. is possible to change order or omit some fields?
PPS: I'm viewing csv via following command I hope the columns corresponds to
types as I described (it looks similar to office from mentioned video, but I
prefer command line):
column -s,$'\t' -t < *.csv | less -#2 -N -S
PPPS: Are those fields somehow related e.g. the score is computed as some
inputs from previous step or something like that?
Thank you
Regards
Marek
Thank you,
I'm looking forward for your response
