def create_model_version(self, name, source, run_id, tags=None):
"""
Create a new model version from given source and run ID.
:param name: Registered model name.
:param source: Source path where the MLflow model is stored.
:param run_id: Run ID from MLflow tracking server that generated the model.
:param tags: A list of :py:class:`mlflow.entities.model_registry.ModelVersionTag`
instances associated with this model version.
:return: A single object of :py:class:`mlflow.entities.model_registry.ModelVersion`
created in the backend.
"""
def next_version(sql_registered_model):
if sql_registered_model.model_versions:
return max(
[mv.version
for mv in sql_registered_model.model_versions]) + 1
else:
return 1
_validate_model_name(name)
for tag in tags or []:
_validate_model_version_tag(tag.key, tag.value)
with self.ManagedSessionMaker() as session:
creation_time = now()
for attempt in range(self.CREATE_MODEL_VERSION_RETRIES):
try:
sql_registered_model = self._get_registered_model(
session, name)
sql_registered_model.last_updated_time = creation_time
version = next_version(sql_registered_model)
model_version = SqlModelVersion(
name=name,
version=version,
creation_time=creation_time,
last_updated_time=creation_time,
source=source,
run_id=run_id)
tags_dict = {}
for tag in tags or []:
tags_dict[tag.key] = tag.value
model_version.model_version_tags = [
SqlModelVersionTag(key=key, value=value)
for key, value in tags_dict.items()
]
self._save_to_db(session,
[sql_registered_model, model_version])
session.flush()
return model_version.to_mlflow_entity()
except sqlalchemy.exc.IntegrityError:
more_retries = self.CREATE_MODEL_VERSION_RETRIES - attempt - 1
_logger.info(
'Model Version creation error (name=%s) Retrying %s more time%s.',
name, str(more_retries),
's' if more_retries > 1 else '')
raise MlflowException(
'Model Version creation error (name={}). Giving up after '
'{} attempts.'.format(name, self.CREATE_MODEL_VERSION_RETRIES))
def create_model_version(self, name, source, run_id):
"""
Create a new model version from given source and run ID.
:param name: Name ID for containing registered model.
:param source: Source path where the MLflow model is stored.
:param run_id: Run ID from MLflow tracking server that generated the model
:return: A single object of :py:class:`mlflow.entities.model_registry.ModelVersion`
created in the backend.
"""
def next_version(sql_registered_model):
if sql_registered_model.model_versions:
return max(
[mv.version
for mv in sql_registered_model.model_versions]) + 1
else:
return 1
with self.ManagedSessionMaker() as session:
creation_time = now()
for attempt in range(self.CREATE_MODEL_VERSION_RETRIES):
try:
sql_registered_model = self._get_registered_model(
session, name)
sql_registered_model.last_updated_time = creation_time
model_version = SqlModelVersion(
name=name,
version=next_version(sql_registered_model),
creation_time=creation_time,
last_updated_time=creation_time,
source=source,
run_id=run_id)
self._save_to_db(session,
[sql_registered_model, model_version])
session.flush()
return model_version.to_mlflow_entity()
except sqlalchemy.exc.IntegrityError:
more_retries = self.CREATE_MODEL_VERSION_RETRIES - attempt - 1
_logger.info(
'Model Version creation error (name=%s) Retrying %s more time%s.',
name, str(more_retries),
's' if more_retries > 1 else '')
raise MlflowException(
'Model Version creation error (name={}). Giving up after '
'{} attempts.'.format(name, self.CREATE_MODEL_VERSION_RETRIES))