Information about mining model settings can be obtained from the data dictionary view ALL/USER/DBA_MINING_MODEL_SETTINGS. When used with the ALL prefix, this view returns information about the settings for the models accessible to the current user. When used with the USER prefix, it returns information about the settings for the models in the user's schema. The DBA prefix is only available for DBAs.
The columns of ALL_MINING_MODEL_SETTINGS are described as follows and explained in Table 5-19.
SQL> describe all_mining_model_settings Name Null? Type ----------------------------------------- -------- ---------------------------- OWNER NOT NULL VARCHAR2(30) MODEL_NAME NOT NULL VARCHAR2(30) SETTING_NAME NOT NULL VARCHAR2(30) SETTING_VALUE VARCHAR2(4000) SETTING_TYPE VARCHAR2(7)
Table 5-19 ALL_MINING_MODEL_SETTINGS
| Column | Description |
|---|---|
|
|
Owner of the mining model. |
|
|
Name of the mining model. |
|
|
Name of the setting. |
|
|
Value of the setting. |
|
|
|
The following query lists the settings for the SVM classification model SVMC_SH_CLAS_SAMPLE. The ALGO_NAME, CLAS_WEIGHTS_TABLE_NAME, and SVMS_KERNEL_FUNCTION settings are user-specified. These settings have been specified in a settings table for the model.
Example 5-2 ALL_MINING_MODEL_SETTINGS
SQL> COLUMN setting_value FORMAT A35
SQL> SELECT setting_name, setting_value, setting_type
FROM all_mining_model_settings
WHERE model_name in 'SVMC_SH_CLAS_SAMPLE';
SETTING_NAME SETTING_VALUE SETTING
------------------------------ ----------------------------------- -------
SVMS_ACTIVE_LEARNING SVMS_AL_ENABLE DEFAULT
PREP_AUTO OFF DEFAULT
SVMS_COMPLEXITY_FACTOR 0.244212 DEFAULT
SVMS_KERNEL_FUNCTION SVMS_LINEAR INPUT
CLAS_WEIGHTS_TABLE_NAME svmc_sh_sample_class_wt INPUT
SVMS_CONV_TOLERANCE .001 DEFAULT
ALGO_NAME ALGO_SUPPORT_VECTOR_MACHINES INPUT
See Also:
Oracle Database PL/SQL Packages and Types Reference for details about model settings