select * from mldb.H2OPredict(
on (select top 10 * from boston_test)
on (select * from h2o_models where model_id='pipeline_boston_model') DIMENSION
using
Accumulate('id')
ModelType('DAI')
) as td
order by id
;
*** Query completed. 10 rows found. 3 columns returned.
*** Total elapsed time was 1 second.
id prediction json_report
------------------------ ---------------------------------
40 29.16696548461914 {"MEDV":"29.16696548461914"}
60 19.89491844177246 {"MEDV":"19.89491844177246"}
80 20.544735590616863 {"MEDV":"20.544735590616863"}
160 21.778653462727863 {"MEDV":"21.778653462727863"}
265 35.91741053263346 {"MEDV":"35.91741053263346"}
305 34.44256337483724 {"MEDV":"34.44256337483724"}
320 20.114957173665363 {"MEDV":"20.114957173665363"}
345 28.41218439737956 {"MEDV":"28.41218439737956"}
385 9.526431401570639 {"MEDV":"9.526431401570639"}
425 15.553998947143555 {"MEDV":"15.553998947143555"}