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Ran large swarm on children's data set
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# ---------------------------------------------------------------------- | ||
# Numenta Platform for Intelligent Computing (NuPIC) | ||
# Copyright (C) 2013, Numenta, Inc. Unless you have purchased from | ||
# Numenta, Inc. a separate commercial license for this software code, the | ||
# following terms and conditions apply: | ||
# | ||
# This program is free software: you can redistribute it and/or modify | ||
# it under the terms of the GNU General Public License version 3 as | ||
# published by the Free Software Foundation. | ||
# | ||
# This program is distributed in the hope that it will be useful, | ||
# but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. | ||
# See the GNU General Public License for more details. | ||
# | ||
# You should have received a copy of the GNU General Public License | ||
# along with this program. If not, see http://www.gnu.org/licenses. | ||
# | ||
# http://numenta.org/licenses/ | ||
# ---------------------------------------------------------------------- | ||
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## This file defines parameters for a prediction experiment. | ||
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############################################################################### | ||
# IMPORTANT!!! | ||
# This params file is dynamically generated by the RunExperimentPermutations | ||
# script. Any changes made manually will be over-written the next time | ||
# RunExperimentPermutations is run!!! | ||
############################################################################### | ||
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from nupic.frameworks.opf.expdescriptionhelpers import importBaseDescription | ||
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# the sub-experiment configuration | ||
config ={ | ||
'aggregationInfo' : {'seconds': 0, 'fields': [], 'months': 0, 'days': 0, 'years': 0, 'hours': 0, 'microseconds': 0, 'weeks': 0, 'minutes': 0, 'milliseconds': 0}, | ||
'modelParams' : {'sensorParams': {'encoders': {'_classifierInput': {'fieldname': 'letter', 'classifierOnly': True, 'type': 'SDRCategoryEncoder', 'w': 21, 'n': 121}, u'letter': {'type': 'SDRCategoryEncoder', 'fieldname': 'letter', 'name': 'letter', 'w': 21, 'n': 121}}}, 'inferenceType': 'TemporalMultiStep', 'spParams': {'synPermInactiveDec': 0.025910586208889513}, 'tpParams': {'minThreshold': 9, 'activationThreshold': 15, 'pamLength': 2}, 'clParams': {'alpha': 0.00080959960713530062}}, | ||
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} | ||
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mod = importBaseDescription('../description.py', config) | ||
locals().update(mod.__dict__) |
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modelParams|clParams|alpha,modelParams|inferenceType,modelParams|spParams|synPermInactiveDec,modelParams|tpParams|activationThreshold,modelParams|tpParams|minThreshold,modelParams|tpParams|pamLength | ||
0.000809599607135,TemporalMultiStep,0.0259105862089,15,9,2 |
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