in python/pipelines/segmentation_pipelines.py [0:0]
def prediction_pl(
project_id: str,
location: Optional[str],
model_dataset_id: str, # to also include project.dataset
model_name_bq_prefix: str, # must match the model name defined in the training pipeline. for now it is {NAME_OF_PIPELINE}-model
model_metric_name: str, # one of davies_bouldin_index , mean_squared_distance
model_metric_threshold: float,
number_of_models_considered: int,
bigquery_source: str,
bigquery_destination_prefix: str,
pubsub_activation_topic: str,
pubsub_activation_type: str