SAP HANA Predictive Analysis Library (PAL)

Input Table
Table 309:
Table Column Column Data Type Description
Data 1st column Integer, bigint, varchar, or
nvarchar
ID
2nd column Integer or double Raw data
Parameter Table
Mandatory Parameters
The following parameters are mandatory and must be given a value.
Table 310:
Name Data Type Description
BINNING_METHOD Integer Binning methods:
●
●
●
●
0: equal widths based on the number
of bins
1: equal widths based on the bin
width
2: equal number of records per bin
3: mean/ standard deviation bin
boundaries
SMOOTH_METHOD Integer Smoothing methods:
●
●
●
0: smoothing by bin means
1: smoothing by bin medians
2: smoothing by bin boundaries
Optional Parameters
The following parameters are optional. If a parameter is not specified, PAL will use its default value.
Table 311:
Name Data Type Default Value Description Dependency
BIN_NUMBER Integer 2 Number of needed
bins.
BIN_DISTANCE Integer 10 Specifies the distance
for binning.
Only valid when BIN­
NING_METHOD is 1.
434 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions