For this example: 1. Update the variables USER and PASSWORD in "CREATE AUTHORIZATION sqlert_master_usr" with the credentials you use to access your AWS S3 bucket 2. Place the file load_iris_input_Test.csv from the inputData folder into your AWS S3 bucket 3. Update the LOCATION to the file load_iris_input_Test.csv in your AWS S3 bucket DROP AUTHORIZATION sqlert_master_usr; CREATE AUTHORIZATION sqlert_master_usr USER 'YOURUSER' PASSWORD 'YOURPASSWORD123'; SELECT * FROM td_mldb.DataRobotPredict( ON (SELECT TOP 10 CAST(id AS INTEGER) id, CAST(sepal_length AS FLOAT) sepal_length, CAST(sepal_width AS FLOAT) sepal_width, CAST(petal_length AS FLOAT) petal_length, CAST(petal_width AS FLOAT) petal_width, CAST(species AS VARCHAR(5)) species FROM ( LOCATION='/s3/s3.amazonaws.com/yourbucket/load_iris_input_Test.csv' AUTHORIZATION=sqlert_master_usr ) AS t ORDER BY 1,2,3,4,5,6) AS InputTable ON (SELECT * FROM datarobot_models WHERE model_id='dr_iris_rf') AS ModelTable DIMENSION USING Accumulate('*') OverwriteCachedModel('1') ) AS td ORDER BY 1,2,3,4,5,6; *** Query completed. 10 rows found. 8 columns returned. *** Total elapsed time was 15 seconds.
id sepal_length sepal_width petal_length petal_width species prediction json_report ----- ---------------------- ---------------------- ---------------------- ---------------------- ------- ------------------------- ------------------------------------------------------------------------------------------------------- 1 5.10000000000000E 000 3.50000000000000E 000 1.40000000000000E 000 2.00000000000000E-001 1 '1' {"1":"1.0","2":"0.0","3":"0.0","species":"'1'","all_class_labels":"['1', '2', '3']","'3'":"0.0","all_class_probs":"[1.0, 0.0, 0.0]","'2'":"0.0","'1'":"1.0"} 2 4.90000000000000E 000 3.00000000000000E 000 1.40000000000000E 000 2.00000000000000E-001 1 '1' {"1":"1.0","2":"0.0","3":"0.0","species":"'1'","all_class_labels":"['1', '2', '3']","'3'":"0.0","all_class_probs":"[1.0, 0.0, 0.0]","'2'":"0.0","'1'":"1.0"} 3 4.70000000000000E 000 3.20000000000000E 000 1.30000000000000E 000 2.00000000000000E-001 1 '1' {"1":"1.0","2":"0.0","3":"0.0","species":"'1'","all_class_labels":"['1', '2', '3']","'3'":"0.0","all_class_probs":"[1.0, 0.0, 0.0]","'2'":"0.0","'1'":"1.0"} 4 4.60000000000000E 000 3.10000000000000E 000 1.50000000000000E 000 2.00000000000000E-001 1 '1' {"1":"1.0","2":"0.0","3":"0.0","species":"'1'","all_class_labels":"['1', '2', '3']","'3'":"0.0","all_class_probs":"[1.0, 0.0, 0.0]","'2'":"0.0","'1'":"1.0"} 5 5.00000000000000E 000 3.60000000000000E 000 1.40000000000000E 000 2.00000000000000E-001 1 '1' {"1":"1.0","2":"0.0","3":"0.0","species":"'1'","all_class_labels":"['1', '2', '3']","'3'":"0.0","all_class_probs":"[1.0, 0.0, 0.0]","'2'":"0.0","'1'":"1.0"} ...