SAP HANA Predictive Analysis Library (PAL)

Name Data Type Default Value Description Dependency
REGRESSION_EPS Double 0.1 Epsilon width of tube
for regression.
Only valid when TYPE
is 2.
Value range: > 0
SCALE_INFO Integer 1 ● 0: No scale
●
●
1: Normalizes the
data
2: Scales the data
into [-1,1]
SHRINK Integer 1 Decides whether to
use shrink strategy or
not:
Using shrink strategy
may accelerate the
training process.
●
●
0: Does not use
shrink strategy
1: Uses shrink
strategy
CATEGORY_COL Integer -1 Indicates whether the
column is category
variable. By default,
'string' is category variable,
and 'integer' or
'double' is continuous
variable. The value of
-1 means the default
will be used.
CATEGORY_WEIGHT Double 0.707 Represents the weight
of category attributes
(γ). The value must be
greater than 0.
ERROR_TOL Double 0.001 Specifies the error tolerance
in the training
process. The value
must be greater than
0.
EVALUATION_SEED Integer 0 The random seed in
parameter selection.
The value must be
greater than 0.
230 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions