# for i in range(16000,20000): # if i%200==0: # testingdata.newSequence() # testingdata.appendLinked(RBallRollPlate[i,:], [5]) # for i in range(16000,20000): # if i%200==0: # testingdata.newSequence() # testingdata.appendLinked(LRopeway[i,:], [6]) # for i in range(16000,20000): # if i%200==0: # testingdata.newSequence() # testingdata.appendLinked(RRopeway[i,:], [7]) # # testingdata._convertToOneOfMany() # # testingAccu = 100-percentError(trainer.testOnClassData(dataset=testingdata), testingdata['class']) # print testingAccu # sequenceStartIndex = range(0,19800,200) # start = np.random.choice(sequenceStartIndex) # print start startSeq = np.random.randint(9900) for i in range(startSeq,startSeq+100): x = vanillaRNN.activate(BellRingRJoint[i]) for i in range(startSeq,startSeq+100): x = vanillaRNN.activate(BallLiftJoint[i]) print argmax(x)