总结模型

  1. 查找您要总结的模型。

    => SELECT * FROM v_catalog.models WHERE model_name='svm_class';
model_id      | model_name |     schema_id   | schema_name |     owner_id      | owner_name |    category    |
model_type   | is_complete |     create_time          | size
-------------------+------------+-------------------+-------------+-------------------+------------+--------
--------+----------------+-------------+-------------------------------+------
45035996273715226 | svm_class  | 45035996273704980 | public      | 45035996273704962 | dbadmin    | VERTICA_MODELS
| SVM_CLASSIFIER | t           | 2017-08-28 09:49:00.082166-04 | 1427
(1 row)

  2. 查看模型摘要。

    
=> SELECT GET_MODEL_SUMMARY(USING PARAMETERS model_name='svm_class');
------------------------------------------------------------------------

=======
details
=======
predictor|coefficient
---------+-----------
Intercept| -0.02006
cyl      |  0.15367
mpg      |  0.15698
wt       | -1.78157
hp       |  0.00957

===========
call_string
===========
SELECT svm_classifier('public.svm_class', 'mtcars_train', '"am"', 'cyl, mpg, wt, hp, gear'
USING PARAMETERS exclude_columns='gear', C=1, max_iterations=100, epsilon=0.001);

===============
Additional Info
===============
Name              |Value
------------------+-----
accepted_row_count| 20
rejected_row_count|  0
iteration_count   | 12
(1 row)

另请参阅