def trainingHookFDR(net, path, report):
"""
This training hook is used extensively by the FDR experiments. It prints
out the learned information about each level in the network
"""
# Print header
print "\n## Executing trainingHook...."
# Print info for each level
tierCount = VU.getTierCount(net)
# This loop is temporary until NuPIC 2 allows retrieval of Region names and
# node types
regions = net.regions
for name, r in regions.items():
if 'FDR' in r.type or 'CLARegion' in r.type:
if not r.getParameter('disableTemporal'):
msg = "\n# Temporal node info for %s (nodetype %s):" % (name,
r.type)
print msg
report.write(msg + os.linesep)
for paramName in [
'tpNumCells', 'tpNumSegments', 'tpNumSynapses',
'tpNumSynapsesPerSegmentMax',
'tpNumSynapsesPerSegmentAvg'
]:
msg = "# %s: %s" % (paramName,
str(r.getParameter(paramName)))
print msg
report.write(msg + os.linesep)
if not r.getParameter('disableSpatial'):
msg = "\n# Spatial node info for %s (nodetype %s):" % (name,
r.type)
print msg
report.write(msg + os.linesep)
if 'spLearningStatsStr' in r.spec.parameters:
stats = eval(r.getParameter('spLearningStatsStr'))
keys = stats.keys()
keys.sort()
for key in keys:
msg = "# %-25s: %s" % (key, str(stats[key]))
print msg
report.write(msg + os.linesep)
def trainingHookFDR(net, path, report):
"""
This training hook is used extensively by the FDR experiments. It prints
out the learned information about each level in the network
"""
# Print header
print "\n## Executing trainingHook...."
# Print info for each level
tierCount = VU.getTierCount(net)
# This loop is temporary until NuPIC 2 allows retrieval of Region names and
# node types
regions = net.regions
for name, r in regions.items():
if 'FDR' in r.type or 'CLARegion' in r.type:
if not r.getParameter('disableTemporal'):
msg = "\n# Temporal node info for %s (nodetype %s):" % (name, r.type)
print msg
report.write(msg + os.linesep)
for paramName in ['tpNumCells', 'tpNumSegments', 'tpNumSynapses',
'tpNumSynapsesPerSegmentMax',
'tpNumSynapsesPerSegmentAvg']:
msg = "# %s: %s" % (paramName, str(r.getParameter(paramName)))
print msg
report.write(msg + os.linesep)
if not r.getParameter('disableSpatial'):
msg = "\n# Spatial node info for %s (nodetype %s):" % (name, r.type)
print msg
report.write(msg + os.linesep)
if 'spLearningStatsStr' in r.spec.parameters:
stats = eval(r.getParameter('spLearningStatsStr'))
keys = stats.keys()
keys.sort()
for key in keys:
msg = "# %-25s: %s" % (key, str(stats[key]))
print msg
report.write(msg + os.linesep)
