def _createLPFNetwork(addSP = True, addTP = False):
"""Create an 'old-style' network ala LPF and return it."""
# ==========================================================================
# Create the encoder and data source stuff we need to configure the sensor
sensorParams = dict(verbosity = _VERBOSITY)
encoder = _createEncoder()
trainFile = findDataset("extra/gym/gym.csv")
dataSource = FileRecordStream(streamID=trainFile)
dataSource.setAutoRewind(True)
# Create all the stuff we need to configure the CLARegion
g_claConfig['spEnable'] = addSP
g_claConfig['tpEnable'] = addTP
claParams = _getCLAParams(encoder = encoder, config= g_claConfig)
claParams['spSeed'] = g_claConfig['spSeed']
claParams['tpSeed'] = g_claConfig['tpSeed']
# ==========================================================================
# Now create the network itself
n = Network()
n.addRegion("sensor", "py.RecordSensor", json.dumps(sensorParams))
sensor = n.regions['sensor'].getSelf()
sensor.encoder = encoder
sensor.dataSource = dataSource
n.addRegion("level1", "py.CLARegion", json.dumps(claParams))
n.link("sensor", "level1", "UniformLink", "")
n.link("sensor", "level1", "UniformLink", "",
srcOutput="resetOut", destInput="resetIn")
return n
def _createLPFNetwork(addSP=True, addTP=False):
"""Create an 'old-style' network ala LPF and return it."""
# ==========================================================================
# Create the encoder and data source stuff we need to configure the sensor
sensorParams = dict(verbosity=_VERBOSITY)
encoder = _createEncoder()
trainFile = findDataset("extra/gym/gym.csv")
dataSource = FileRecordStream(streamID=trainFile)
dataSource.setAutoRewind(True)
# Create all the stuff we need to configure the CLARegion
g_claConfig["spEnable"] = addSP
g_claConfig["tpEnable"] = addTP
claParams = _getCLAParams(encoder=encoder, config=g_claConfig)
claParams["spSeed"] = g_claConfig["spSeed"]
claParams["tpSeed"] = g_claConfig["tpSeed"]
# ==========================================================================
# Now create the network itself
n = Network()
n.addRegion("sensor", "py.RecordSensor", json.dumps(sensorParams))
sensor = n.regions["sensor"].getSelf()
sensor.encoder = encoder
sensor.dataSource = dataSource
n.addRegion("level1", "py.CLARegion", json.dumps(claParams))
n.link("sensor", "level1", "UniformLink", "")
n.link("sensor", "level1", "UniformLink", "", srcOutput="resetOut", destInput="resetIn")
return n
def train(self, training_file, num_records):
"""Create a network and training it on a CSV data source"""
dataSource = FileRecordStream(streamID=training_file)
dataSource.setAutoRewind(True)
self._network = configureNetwork(dataSource, self.network_config)
for i in xrange(num_records): # Equivalent to: network.run(num_records)
self._network.run(1)
self._network.save(self.trained_network_path)
def _createOPFNetwork(addSP=True, addTP=False):
"""Create a 'new-style' network ala OPF and return it.
If addSP is true, an SPRegion will be added named 'level1SP'.
If addTP is true, a TPRegion will be added named 'level1TP'
"""
# ==========================================================================
# Create the encoder and data source stuff we need to configure the sensor
sensorParams = dict(verbosity=_VERBOSITY)
encoder = _createEncoder()
trainFile = findDataset("extra/gym/gym.csv")
dataSource = FileRecordStream(streamID=trainFile)
dataSource.setAutoRewind(True)
# ==========================================================================
# Now create the network itself
n = Network()
n.addRegion("sensor", "py.RecordSensor", json.dumps(sensorParams))
sensor = n.regions["sensor"].getSelf()
sensor.encoder = encoder
sensor.dataSource = dataSource
# ==========================================================================
# Add the SP if requested
if addSP:
print "Adding SPRegion"
g_spRegionConfig["inputWidth"] = encoder.getWidth()
n.addRegion("level1SP", "py.SPRegion", json.dumps(g_spRegionConfig))
n.link("sensor", "level1SP", "UniformLink", "")
n.link("sensor", "level1SP", "UniformLink", "", srcOutput="resetOut", destInput="resetIn")
n.link("level1SP", "sensor", "UniformLink", "", srcOutput="spatialTopDownOut", destInput="spatialTopDownIn")
n.link("level1SP", "sensor", "UniformLink", "", srcOutput="temporalTopDownOut", destInput="temporalTopDownIn")
# ==========================================================================
if addTP and addSP:
# Add the TP on top of SP if requested
# The input width of the TP is set to the column count of the SP
print "Adding TPRegion on top of SP"
g_tpRegionConfig["inputWidth"] = g_spRegionConfig["columnCount"]
n.addRegion("level1TP", "py.TPRegion", json.dumps(g_tpRegionConfig))
n.link("level1SP", "level1TP", "UniformLink", "")
n.link("level1TP", "level1SP", "UniformLink", "", srcOutput="topDownOut", destInput="topDownIn")
n.link("sensor", "level1TP", "UniformLink", "", srcOutput="resetOut", destInput="resetIn")
elif addTP:
# Add a lone TPRegion if requested
# The input width of the TP is set to the encoder width
print "Adding TPRegion"
g_tpRegionConfig["inputWidth"] = encoder.getWidth()
n.addRegion("level1TP", "py.TPRegion", json.dumps(g_tpRegionConfig))
n.link("sensor", "level1TP", "UniformLink", "")
n.link("sensor", "level1TP", "UniformLink", "", srcOutput="resetOut", destInput="resetIn")
return n
def createSensors(network, sensors):
for sensor in sensors:
dataSource = FileRecordStream(streamID=sensor["source"])
dataSource.setAutoRewind(True)
encoder = MultiEncoder()
encoder.addMultipleEncoders(fieldEncodings=sensor["encodings"])
s = createRegion(network, sensor)
s = s.getSelf()
s.dataSource = dataSource
s.encoder = encoder
return network
def _createOPFNetwork(addSP=True, addTP=False):
"""Create a 'new-style' network ala OPF and return it.
If addSP is true, an SPRegion will be added named 'level1SP'.
If addTP is true, a TPRegion will be added named 'level1TP'
"""
# ==========================================================================
# Create the encoder and data source stuff we need to configure the sensor
sensorParams = dict(verbosity=_VERBOSITY)
encoder = _createEncoder()
trainFile = resource_filename("nupic.datafiles", "extra/gym/gym.csv")
dataSource = FileRecordStream(streamID=trainFile)
dataSource.setAutoRewind(True)
# ==========================================================================
# Now create the network itself
n = Network()
n.addRegion("sensor", "py.RecordSensor", json.dumps(sensorParams))
sensor = n.regions['sensor'].getSelf()
sensor.encoder = encoder
sensor.dataSource = dataSource
# ==========================================================================
# Add the SP if requested
if addSP:
print "Adding SPRegion"
g_spRegionConfig['inputWidth'] = encoder.getWidth()
n.addRegion("level1SP", "py.SPRegion", json.dumps(g_spRegionConfig))
n.link("sensor", "level1SP", "UniformLink", "")
n.link("sensor",
"level1SP",
"UniformLink",
"",
srcOutput="resetOut",
destInput="resetIn")
n.link("level1SP",
"sensor",
"UniformLink",
"",
srcOutput="spatialTopDownOut",
destInput="spatialTopDownIn")
n.link("level1SP",
"sensor",
"UniformLink",
"",
srcOutput="temporalTopDownOut",
destInput="temporalTopDownIn")
# ==========================================================================
if addTP and addSP:
# Add the TP on top of SP if requested
# The input width of the TP is set to the column count of the SP
print "Adding TPRegion on top of SP"
g_tpRegionConfig['inputWidth'] = g_spRegionConfig['columnCount']
n.addRegion("level1TP", "py.TPRegion", json.dumps(g_tpRegionConfig))
n.link("level1SP", "level1TP", "UniformLink", "")
n.link("level1TP",
"level1SP",
"UniformLink",
"",
srcOutput="topDownOut",
destInput="topDownIn")
n.link("sensor",
"level1TP",
"UniformLink",
"",
srcOutput="resetOut",
destInput="resetIn")
elif addTP:
# Add a lone TPRegion if requested
# The input width of the TP is set to the encoder width
print "Adding TPRegion"
g_tpRegionConfig['inputWidth'] = encoder.getWidth()
n.addRegion("level1TP", "py.TPRegion", json.dumps(g_tpRegionConfig))
n.link("sensor", "level1TP", "UniformLink", "")
n.link("sensor",
"level1TP",
"UniformLink",
"",
srcOutput="resetOut",
destInput="resetIn")
return n
