This procedure is generated from an activity that successfully builds a model using the algorithms that do not have a test step in their activity, that is, Anomaly Detection, Attribute Importance, k-Means, O-Cluster, and Feature Extraction algorithms. All parameters are initialized to the default values that were used by the build activity. If you use input parameters that are not the default parameters, you must ensure the new data is compatible with the original data that was used by the activity.
PROCEDURE build_procedure_name(
case_table IN VARCHAR2 DEFAULT activity_default,
table_1 IN VARCHAR2 DEFAULT activity_default,
table_n IN VARCHAR2 DEFAULT activity_default,
model_name IN VARCHAR2 DEFAULT activity_default,
feature_table IN VARCHAR2 DEFAULT activity_default,
mapping_table IN VARCHAR2 DEFAULT activity_default,
drop_model IN BOOLEAN DEFAULT user_defined);
The procedure has two kinds of defaults:
activity_default
: The default is the value specified in the activity from which code was generated. For example, model_name
is by default the name specified in the activity.user_defined
: The default is the value specified when the code is generated.Table 1 Build Procedure Parameters
Parameter | Description |
---|---|
build_procedure_name |
The name specified for the procedure when the code was generated. |
table_1 |
The name of the first additional table. The name is in the form schema_name.table_name . This parameter is optional. |
table_n |
The name of the n-th additional table. The name is in the form schema_name.table_name . This parameter is optional. |
model_name |
The name of the model created by the procedure; 25 or fewer characters in length. |
mapping_table |
Feature frequencies table generated by the text transform. Utilized by the apply and test procedures to regenerate a similar text transformation. |
feature_table |
Feature ID to text mapping table generated by the text transform. Can be used to translate model detail output containing columns affected by a text transformation. |
drop_model |
A flag indicating whether to drop the model if it already exists. The value of this flag was specified when the code was generated. |
This procedure includes all necessary data preparation, data transformations,
and model build settings. The procedure creates a model. If the model already
exists and drop_model
is set to FALSE
, the procedure
will raise an exception to the caller and exit.
The feature table generated by the Build procedure is used in the Apply procedure.
You can supply a feature_table
name different from the default name, but you must supply the same name in
both Build and Apply procedures.
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