fmeasure : Measure
Computed for each candidate feature selection. The measure has
to compute a scalar value.
pmeasure : Measure
Compute against a test dataset for each incremental feature
splitter: Splitter :
This splitter instance has to generate at least one dataset split
when called with the input dataset that is used to compute the
per-feature criterion for feature selection.
bestdetector : Functor
Given a list of error values it has to return a boolean that
signals whether the latest error value is the total minimum.
stopping_criterion : Functor
Given a list of error values it has to return whether the
criterion is fulfilled.
fselector : Functor
train_clf : bool
Flag whether the classifier in transfer_error should be
trained before computing the error. In general this is
required, but if the sensitivity_analyzer and
transfer_error share and make use of the same classifier it
can be switched off to save CPU cycles. Default None checks
if sensitivity_analyzer is based on a classifier and doesn’t train
enable_ca : None or list of str
Names of the conditional attributes which should be enabled in addition
to the default ones
disable_ca : None or list of str
Names of the conditional attributes which should be disabled
filler : optional
Value to fill empty entries upon reverse operation
auto_train : bool
Flag whether the learner will automatically train itself on the input
dataset when called untrained.
force_train : bool
Flag whether the learner will enforce training on the input dataset
upon every call.
space: str, optional :
Name of the ‘processing space’. The actual meaning of this argument
heavily depends on the sub-class implementation. In general, this is
a trigger that tells the node to compute and store information about
the input data that is “interesting” in the context of the
corresponding processing in the output dataset.
postproc : Node instance, optional
Node to perform post-processing of results. This node is applied
in __call__() to perform a final processing step on the to be
result dataset. If None, nothing is done.
descr : str
Description of the instance