sql-scripts/thelook_ecommerce/churn_demo_step_2_evaluate.sql (6 lines of code) (raw):

/*################################################################################## # Copyright 2022 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ###################################################################################*/ /* Author: Polong Lin Use Cases: - Show in code or show in UI Description: - Evaluate the model using code. Default threshold is 0.5, which is modifiable. Show: - the resulting evaluation metrics (e.g. ROC_AUC score, accuracy score) References: - https://cloud.google.com/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-evaluate Clean up / Reset script: - n/a */ EXECUTE IMMEDIATE format(""" SELECT * FROM ML.EVALUATE(MODEL `${project_id}`.${bigquery_thelook_ecommerce_dataset}.model_churn, (SELECT * FROM `${project_id}`.${bigquery_thelook_ecommerce_dataset}.training_data), STRUCT(0.5 as threshold)); """);