adapt_order
Activate adaptive procedure for determining the best basis order
Specification
Alias: None
Arguments: None
Default: false
Description
This option activates a cross validation procedure to
select the best basis order for representing the current set of data.
It searches from start_order
to max_order
in increments of
kick_order
.
Default Behavior
No cross validation for basis order.
Examples
This example shows specification of an order adaptation starting at order 2, incrementing by 2, and limited at order 6.
model,
id_model = 'FT'
surrogate global function_train
start_rank = 4
adapt_order start_order = 2 kick_order = 2 max_order = 6
solver_tolerance = 1e-12
rounding_tolerance = 1e-12
dace_method_pointer = 'SAMPLING'
Note that adapt_rank
and adapt_order
can either be combined or
used separately.