This is a
CPOConstructor to be used to create a
CPO. It is called like any R function and returns
CPO that represents the operations of its input parameters,
performed in parallel and put together column wise.
For example, to construct a
Task that contains the original
data, as well as the data after scaling, one could do
task %>>% cpoCbind(NULLCPO, cpoScale())
The result of
cpoCbind is itself a CPO which exports its constituents'
hyperparameters. CPOs with the same type / ID get combined automatically.
To get networks, e.g. of the form
1 2 3
one coul use the code
1 2 3 4
cpoCbind finds common paths among its arguments and combines them into one operation.
This saves computation and makes it possible for one exported hyperparameter to
influence multiple of
cpoCbind's inputs. However, if you want to use the same
operation with different parameters on different parts of
you must give these operations different IDs. If CPOs that could represent an identical CPO,
with the same IDs (or both with IDs absent) but different parameter settings,
or different parameter exportations occur, an error will be thrown.
This function creates a CPO object, which can be applied to
and other CPO objects using the
The parameters of this object can be changed after creation
using the function
setHyperPars. The other
hyper-parameter manipulating functins,
getParamSet similarly work as one expects.
If the “id” parameter is given, the hyperparameters will have this id as aprefix; this will, however, not change the parameters of the creator function.
CPO constructor functions are called with optional values of parameters, and additional “special” optional values.
The special optional values are the
id parameter, and the
affect.* parameters. The
enable the user to control which subset of a given dataset is affected. If no
affect.* parameters are given, all
data features are affected by default.
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