def write(self, stream=sys.stdout, color=None, sort='prob', group=True, reverse=True):
barwidth = 30
if tty(stream) and color is None:
color = 'yellow'
if sort not in ('alpha', 'prob'):
raise Exception('Unknown sorting: %s' % sort)
results = dict(self.results)
if group:
for var in sorted(self.mrf.variables, key=str):
res = dict([(atom, prob) for atom, prob in results.iteritems() if atom in map(str, var.gndatoms)])
if not res: continue
if isinstance(var, MutexVariable) or isinstance(var, SoftMutexVariable):
stream.write('%s:\n' % var)
if sort == 'prob':
res = sorted(res, key=self.results.__getitem__, reverse=reverse)
elif sort == 'alpha':
res = sorted(res, key=str)
for atom in res:
stream.write('%s %s\n' % (barstr(barwidth, self.results[atom], color=color), atom))
return
# first sort wrt to probability
results = sorted(results, key=self.results.__getitem__, reverse=reverse)
# then wrt gnd atoms
results = sorted(results, key=str)
for q in results:
stream.write('%s %s\n' % (barstr(barwidth, self.results[q], color=color), q))
self._watch.printSteps()
def write(self, stream=sys.stdout, color=None, bars=True):
'''
Writes this database into the stream in the MLN Database format.
The stream must provide a `write()` method as file objects do.
'''
if color is None:
if stream != sys.stdout:
color = False
else:
color = True
for atom in sorted(self._evidence):
truth = self._evidence[atom]
pred, params = self.mln.logic.parse_atom(atom)
pred = str(pred)
params = map(str, params)
if bars:
bar = barstr(30, truth, color='magenta' if color else None)
else:
bar = ''
if color:
strout = '%s %s\n' % (
bar if bars else colorize('%.6f' % truth,
(None, 'magenta', False), True),
FirstOrderLogic.Lit(False, pred, params,
self.mln).cstr(color))
else:
strout = '%s %s\n' % (bar if bars else '%.6f' % truth,
FirstOrderLogic.Lit(
False, pred, params,
self.mln).cstr(color))
stream.write(strout)
def write(self,
stream=sys.stdout,
color=None,
sort='prob',
group=True,
reverse=True):
barwidth = 30
if tty(stream) and color is None:
color = 'yellow'
if sort not in ('alpha', 'prob'):
raise Exception('Unknown sorting: %s' % sort)
results = dict(self.results)
if group:
for var in sorted(self.mrf.variables, key=str):
res = dict([(atom, prob) for atom, prob in results.iteritems()
if atom in map(str, var.gndatoms)])
if not res: continue
if isinstance(var, MutexVariable) or isinstance(
var, SoftMutexVariable):
stream.write('%s:\n' % var)
if sort == 'prob':
res = sorted(res,
key=self.results.__getitem__,
reverse=reverse)
elif sort == 'alpha':
res = sorted(res, key=str)
for atom in res:
stream.write('%s %s\n' % (barstr(
barwidth, self.results[atom], color=color), atom))
return
# first sort wrt to probability
results = sorted(results,
key=self.results.__getitem__,
reverse=reverse)
# then wrt gnd atoms
results = sorted(results, key=str)
for q in results:
stream.write('%s %s\n' %
(barstr(barwidth, self.results[q], color=color), q))
self._watch.printSteps()
def write_elapsed_time(self, stream=sys.stdout, color=None):
if stream is sys.stdout and color is None:
color = True
elif color is None:
color = False
if color: col = 'blue'
else: col = None
total = float(self._watch['inference'].elapsedtime)
stream.write(headline('INFERENCE RUNTIME STATISTICS'))
print
self._watch.finish()
for t in sorted(self._watch.tags.values(), key=lambda t: t.elapsedtime, reverse=True):
stream.write('%s %s %s\n' % (barstr(width=30, percent=t.elapsedtime / total, color=col), elapsed_time_str(t.elapsedtime), t.label))
def write_elapsed_time(self, stream=sys.stdout, color=None):
if stream is sys.stdout and color is None:
color = True
elif color is None:
color = False
if color: col = 'blue'
else: col = None
total = float(self._watch['inference'].elapsedtime)
stream.write(headline('INFERENCE RUNTIME STATISTICS'))
print
self._watch.finish()
for t in sorted(self._watch.tags.values(),
key=lambda t: t.elapsedtime,
reverse=True):
stream.write(
'%s %s %s\n' %
(barstr(width=30, percent=t.elapsedtime / total,
color=col), elapsed_time_str(t.elapsedtime), t.label))
def write(self, stream=sys.stdout, color=None, bars=True):
'''
Writes this database into the stream in the MLN Database format.
The stream must provide a `write()` method as file objects do.
'''
if color is None:
if stream != sys.stdout:
color = False
else: color = True
for atom in sorted(self._evidence):
truth = self._evidence[atom]
pred, params = self.mln.logic.parse_atom(atom)
pred = str(pred)
params = map(str, params)
if bars:
bar = barstr(30, truth, color='magenta' if color else None)
else:
bar = ''
if color:
strout = '%s %s\n' % (bar if bars else colorize('%.6f' % truth, (None, 'magenta', False), True),
FirstOrderLogic.Lit(False, pred, params, self.mln).cstr(color))
else:
strout = '%s %s\n' % (bar if bars else '%.6f' % truth, FirstOrderLogic.Lit(False, pred, params, self.mln).cstr(color))
stream.write(strout)
def write_pls(self):
for var in self.mrf.variables:
print repr(var)
for i, value in var.itervalues():
print ' ', barstr(width=50, color='magenta', percent=self._pls[var.idx][i]) + ('*' if var.evidence_value_index() == i else ' '), i, value