|Oracle® Data Mining Application Developer's Guide
11g Release 2 (11.2)
|PDF · Mobi · ePub|
This section describes new features in the Oracle Data Mining APIs. It includes the following sections:
See Also:Oracle Data Mining Concepts for additional information about new features and for information about features that were new or deprecated in Oracle Data Mining 11g Release 1
The Oracle Data Mining Java API is deprecated in this release.
Note:Oracle recommends that you not use deprecated features in new applications. Support for deprecated features is for backward compatibility only
This section lists the changes that have been introduced in the Oracle Data Mining 11.2 PL/SQL API:
In Oracle Data Mining 11g Release 2 (11.2), you can build association rules models without first transforming the transactional data.
See:"Market Basket Data"
SVM Class Weights Specified with CLAS_WEIGHTS_TABLE_NAME
Previously SVM class weights were specified in the priors table (
CLAS_PRIORS_TABLE_NAME setting). Now SVM class weights and GLM class weights are both specified in a class weights table (
CLAS_WEIGHTS_TABLE_NAMEin Oracle Database PL/SQL Packages and Types Reference
FORCE argument to DROP_MODEL
You can now force a drop model operation even if a serious system error has interrupted the model build process.
DBMS_DATA_MINING.DROP_MODELprocedure in Oracle Database PL/SQL Packages and Types Reference
GET_MODEL_DETAILS_SVM has new REVERSE_COEF parameter
To preserve model transparency, the
GET_MODEL_DETAILS functions automatically reverse the transformations generated by ADP during the model build. You can obtain the transformed attribute coefficients used internally by an SVM model by setting the new
reverse_coef parameter to 1. This causes the coefficients and bias to be returned with the normalization shifts and scales applied by ADP.
DBMS_DATA_MINING.GET_MODEL_DETAILS_SVMin Oracle Database PL/SQL Packages and Types Reference