def merge(self, *others):
"""Merges the TrainingData instance with others and creates a new one."""
training_examples = deepcopy(self.training_examples)
entity_synonyms = self.entity_synonyms.copy()
regex_features = deepcopy(self.regex_features)
for o in others:
training_examples.extend(deepcopy(o.training_examples))
regex_features.extend(deepcopy(o.regex_features))
for text, syn in o.entity_synonyms.items():
check_duplicate_synonym(entity_synonyms, text, syn, "merging training data")
entity_synonyms.update(o.entity_synonyms)
return TrainingData(training_examples, entity_synonyms, regex_features)
def merge(self, *others):
"""Merges the TrainingData instance with others and creates a new one."""
training_examples = deepcopy(self.training_examples)
entity_synonyms = self.entity_synonyms.copy()
regex_features = deepcopy(self.regex_features)
for o in others:
training_examples.extend(deepcopy(o.training_examples))
regex_features.extend(deepcopy(o.regex_features))
for text, syn in o.entity_synonyms.items():
check_duplicate_synonym(entity_synonyms, text, syn,
"merging training data")
entity_synonyms.update(o.entity_synonyms)
return TrainingData(training_examples, entity_synonyms, regex_features)
def merge(self, *others):
"""Return merged instance of this data with other training data."""
training_examples = deepcopy(self.training_examples)
entity_synonyms = self.entity_synonyms.copy()
regex_features = deepcopy(self.regex_features)
lookup_tables = deepcopy(self.lookup_tables)
for o in others:
training_examples.extend(deepcopy(o.training_examples))
regex_features.extend(deepcopy(o.regex_features))
lookup_tables.extend(deepcopy(o.lookup_tables))
for text, syn in o.entity_synonyms.items():
check_duplicate_synonym(entity_synonyms, text, syn,
"merging training data")
entity_synonyms.update(o.entity_synonyms)
return TrainingData(training_examples, entity_synonyms, regex_features,
lookup_tables)
def merge(self, *others: 'TrainingData') -> 'TrainingData':
"""Return merged instance of this data with other training data."""
training_examples = deepcopy(self.training_examples)
entity_synonyms = self.entity_synonyms.copy()
regex_features = deepcopy(self.regex_features)
lookup_tables = deepcopy(self.lookup_tables)
for o in others:
training_examples.extend(deepcopy(o.training_examples))
regex_features.extend(deepcopy(o.regex_features))
lookup_tables.extend(deepcopy(o.lookup_tables))
for text, syn in o.entity_synonyms.items():
check_duplicate_synonym(entity_synonyms, text, syn,
"merging training data")
entity_synonyms.update(o.entity_synonyms)
return TrainingData(training_examples, entity_synonyms,
regex_features, lookup_tables)
def _add_synonym(self, text, value):
check_duplicate_synonym(self.entity_synonyms, text, value,
"reading markdown")
self.entity_synonyms[text] = value
def _add_synonym(self, text, value):
check_duplicate_synonym(self.entity_synonyms, text, value, "reading markdown")
self.entity_synonyms[text] = value
def _add_synonym(self, text, value):
from rasa_nlu.training_data.util import check_duplicate_synonym
check_duplicate_synonym(self.entity_synonyms, text, value,
"reading markdown")
self.entity_synonyms[text] = value
