SAP HANA Predictive Analysis Library (PAL)

Where β0…βn are parameters that need to be calculated.
The steps are:
1. Put natural logarithmic operation on both sides:
ln(y) = ln(β0 × exp(β1 × x1 + β2 × x2 + … + βn × xn))
2. Transform it into: ln(y) = ln(β0) + β1 × x1 + β2 × x2 + … + βn × xn
3. Let y’ = ln(y), β0’ = ln(β0)
y’ = β0’ + β1 × x1 + β2 × x2 + … + βn × xn
Thus, y’ and x1…xn is a linear relationship and can be solved using the linear regression method.
The implementation also supports calculating the F value and R^2 to determine statistical significance.
Prerequisites
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No missing or null data in the inputs.
The data is numeric, not categorical.
Given the structure as Y and X1...Xn, there are more than n+1 records available for analysis.
EXPREGRESSION
This is an exponential regression function.
Procedure Generation
CALL SYS.AFLLANG_WRAPPER_PROCEDURE_CREATE (‘AFLPAL’, ‘EXPREGRESSION’,
‘’, '', );
The signature table should contain the following records:
Table 192:
Position Schema Name Table Type Name Parameter Type
1 IN
2 IN
3
4
5
6
OUT
OUT
OUT
OUT
SAP HANA Predictive Analysis Library (PAL)
PAL Functions P U B L I C 257