35.6 The CREATE_MODEL2 Procedure
The CREATE_MODEL2 procedure of the
DBMS_DATA_MINING package is a procedure for defining model settings to
build a model.
By using the CREATE_MODEL2 procedure, the user does not need to
create transient database objects. The model can use configuration settings and
user-specified transformations. In the CREATE_MODEL2 procedure, the
input is a table or a view and if such an object is not already present, the user
must create it.
DBMS_DATA_MINING.CREATE_MODEL2 ( model_name IN VARCHAR2, mining_function IN VARCHAR2, data_query IN CLOB, set_list IN SETTING_LIST, case_id_column_name IN VARCHAR2 DEFAULT NULL, target_column_name IN VARCHAR2 DEFAULT NULL, xform_list IN TRANSFORM_LIST DEFAULT NULL);
The data_query parameter species a query which provides training
data for building the model. The set_list parameter specifies the
SETTING_LIST. SETTING_LIST is a table of CLOB
index by VARCHAR2(30); Where the index is the setting name and the
CLOB is the setting value for that name. The rest of the parameters are covered in
the CREATE_MODEL procedure.
You can also rename the model using the RENAME_MODEL procedure of
the DBMS_DATA_MINING package. The procedure changes the value of
the machine learning model specified against MODEL_NAME with
another name that you specify.
The following CREATE_MODEL2 procedure builds a classification model
using SVM algorithm. The following example mining_data_build_v data set to arrive at
likelihood of customers opting the affinity card program.
.
DECLARE
v_setlist DBMS_DATA_MINING.SETTING_LIST;
BEGIN
v_setlist('PREP_AUTO') := 'ON';
v_setlist('ALGO_NAME') := 'ALGO_SUPPORT_VECTOR_MACHINES';
v_setlist('SVMS_KERNEL_FUNCTION') := 'SVMS_LINEAR';
DBMS_DATA_MINING.CREATE_MODEL2(
MODEL_NAME => 'SVM_MODEL',
MINING_FUNCTION => 'CLASSIFICATION',
DATA_QUERY => 'select * from mining_data_build_v',
SET_LIST => v_setlist,
CASE_ID_COLUMN_NAME => 'CUST_ID,
TARGET_COLUMN_NAME => 'AFFINITY_CARD');
END;