def regenerate(self, markov_model_id):
""" Regenerate the markvov chain """
try:
markov_model = self.get_markov_model(int(markov_model_id))
except KeyError:
print_error('No such markov model id')
return False
label = __group_of_labels__.get_label_by_id(
markov_model.get_label_id())
connections = label.get_connections_complete()
# Get all the group of models and connections names
state = ""
for group_of_model_id in connections:
# Get all the connections
for conn in connections[group_of_model_id]:
# Get the model group
group = __groupofgroupofmodels__.get_group(group_of_model_id)
# Get the model
model = group.get_model(conn)
# Get each state
state += model.get_state() + '#'
# Delete the last #
state = state[:-1]
# Store the state
markov_model.set_state(state)
# Store the connections
markov_model.set_connections(connections)
# Create the MM itself
markov_model.create(markov_model.get_state())
print_info('Markov model {} regenerated.'.format(markov_model_id))
def regenerate(self, markov_model_id):
""" Regenerate the markvov chain """
try:
markov_model = self.get_markov_model(int(markov_model_id))
except KeyError:
print_error('No such markov model id')
return False
label = __group_of_labels__.get_label_by_id(markov_model.get_label_id())
connections = label.get_connections_complete()
# Get all the group of models and connections names
state = ""
for group_of_model_id in connections:
# Get all the connections
for conn in connections[group_of_model_id]:
# Get the model group
group = __groupofgroupofmodels__.get_group(group_of_model_id)
# Get the model
model = group.get_model(conn)
# Get each state
state += model.get_state() + '#'
# Delete the last #
state = state[:-1]
# Store the state
markov_model.set_state(state)
# Store the connections
markov_model.set_connections(connections)
# Create the MM itself
markov_model.create(markov_model.get_state())
print_info('Markov model {} regenerated.'.format(markov_model_id))
def get_label(self):
""" Return the label name"""
label = __group_of_labels__.get_label_by_id(self.get_label_id())
if label:
label_name = label.get_name()
else:
print_error('The label used in the markov model {} does not exist anymore. You should delete the markov chain manually (The markov chain {} does not appear in the following list).'.format(self.get_id(), self.get_id()))
return label
def get_label(self):
""" Return the label name"""
label = __group_of_labels__.get_label_by_id(self.get_label_id())
if label:
label_name = label.get_name()
else:
print_error('The label used in the markov model {} does not exist anymore. You should delete the markov chain manually (The markov chain {} does not appear in the following list).'.format(self.get_id(), self.get_id()))
return label
def __repr__(self):
label = __group_of_labels__.get_label_by_id(self.get_label_id())
if label:
label_name = label.get_name()
else:
label_name = 'Deleted'
#current_connections = label.get_connections_complete()
response = "Id:"+str(self.get_id())+", Label: "+label_name+", State Len:"+str(len(self.get_state()))+", #Conns:"+str(self.count_connections())+", First 50 states: "+self.get_state()[0:50]
return(response)
def __repr__(self):
label = __group_of_labels__.get_label_by_id(self.get_label_id())
if label:
label_name = label.get_name()
else:
label_name = 'Deleted'
#current_connections = label.get_connections_complete()
response = "Id:"+str(self.get_id())+", Label: "+label_name+", State Len:"+str(len(self.get_state()))+", #Conns:"+str(self.count_connections())+", First 50 states: "+self.get_state()[0:50]
return(response)
def get_testing_label(self):
""" Get the testing label of the training model """
try:
model_testing = self.get_model_from_id(self.get_structure_testing(), self.get_model_testing_id())
except AttributeError:
labelname = 'Deleted'
return labelname
try:
label = __group_of_labels__.get_label_by_id(model_testing.get_label_id())
except AttributeError:
labelname = 'Deleted'
return labelname
if label:
labelname = label.get_name()
else:
labelname = 'Deleted'
return labelname
