HANA Auto Regression

Properties that can be configured for the HANA Automated (Auto) Regression algorithm.

Syntax The HANA Automated Regression algorithm uses a technique called Structural Risk Minimization and builds a polynomial model. This algorithm can handle a very high number of input attributes in an automated fashion to find trends in data. It provides indicators and graphs to ensure that the quality and robustness of trained models can be easily assessed.

The HANA Auto Regression algorithm is only available in online mode (connected to SAP HANA). There is a similar Auto Regression algorithm available in offline mode.

For more information about the functions used in online Automated algorithms, see the SAP Automated Predictive Library Reference Guide (APL) at http://help.sap.com/pa

HANA Automated Regression Properties
Table 1: Algorithm Properties
Property Description
Features Select input columns with which you want to perform the regression analysis.
Target Variable Select the target column for which you want to perform the regression analysis.
Predicted Column Name Enter a name for the newly-created column that contains predicted values.