SAP HANA Predictive Analysis Library (PAL)

Table 100:
Name Data Type Default Value Description Dependency
PERCENTAGE Double 1.0 Specifies the percentage
of the input data
to be used to build the
tree model.
For example, if you set
this parameter to 0.7,
70% of the training
data will be used to
build the tree model,
and 30% will be used
to prune the tree
model.
MIN_RE­
CORDS_OF_PARENT
MIN_RE­
CORDS_OF_LEAF
Integer 1 Specifies the stop condition:
if the number of
records is less than
the parameter value,
the algorithm will stop
splitting.
Integer 0 Promises the minimum
number of records
in each leaf.
MAX_DEPTH Integer Number of columns in
the input table which
contains the training
data
Specifies the stop condition:
if the depth of
the tree model is
greater than the parameter
value, the algorithm
will stop splitting.
THREAD_NUMBER Integer 1 Number of threads.
IS_SPLIT_MODEL Integer 1 Indicates whether the
string of the tree
model should be split
or not.
If the value is not 0,
the tree model will be
split, and the length of
each unit is 5000.
140 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions