breznak

 from nupic.bindings.sdr import SDR
 from nupic.bindings.algorithms import SpatialPooler as SP
 a=SDR([100])
 a.randomize(0.05)
 a.sparse
 b=SDR([100])
 sp=SP([100],[100])
 sp.compute(a.sparse, True, b.sparse)
 b.sparse
 

breznak

####>> UPDATED JOB RESULTS: 
{   u'bestModel': 104195,
    u'bestValue': 4.43,
    u'metrics': {   u"multiStepBestPredictions:multiStep:errorMetric='aae':steps=1:window=1000:field=ecg": 4.43,
                    u"multiStepBestPredictions:multiStep:errorMetric='altMAPE':steps=1:window=1000:field=ecg": 0.46635898904319556,
                    u"prediction:trivial:errorMetric='aae':steps=1:window=1000:field=ecg": 3.752,
                    u"prediction:trivial:errorMetric='altMAPE':steps=1:window=1000:field=ecg": 0.39498395640859363},
    u'saved': True} (elapsed time: 31110.6 secs)
##>> UPDATED STATUS: 
Completed generation #2 of swarm 'modelParams|sensorParams|encoders|ecg' with a best errScore of 4.601. Matured swarm(s): [u'modelParams|sensorParams|encoders|ecg']

breznak

#!python

import numpy as np
import random as r

import nupic
from nupic.encoders.coordinate import CoordinateEncoder as Enc

e=Enc(w=25, n=1000)
print e

breznak

from nupic.encoders.multi import SimpleVector as Vec
import time

mx=10**5

start=time.time()
#create big Vector
v = Vec(mx,0,100)
stop=time.time()