FeatureGroupingAlgorithmKD#

class pyopenms.FeatureGroupingAlgorithmKD(*args, **kwargs)#

Bases: FeatureGroupingAlgorithm

Proxy for a (potential) cluster FeatureGroupingAlgorithm ProgressLogger

__init__(self) → None#

Attributes

`endProgress`	Ends the progress display
`getDefaults`	Returns the default parameters
`getLogType`	Returns the type of progress log being used
`getName`	Returns the name
`getParameters`	Returns the parameters
`getSubsections`
`group`	Overloaded function.
`nextProgress`	Increment progress by 1 (according to range begin-end)
`setLogType`	Sets the progress log that should be used.
`setName`	Sets the name
`setParameters`	Sets the parameters
`setProgress`	Sets the current progress
`startProgress`
`transferSubelements`	Transfers subelements (grouped features) from input consensus maps to the result consensus map

endProgress#: Ends the progress display

getDefaults#: Returns the default parameters

getLogType#: Returns the type of progress log being used

getName#: Returns the name

getParameters#: Returns the parameters

getSubsections#

group#

Overloaded function.

group(self, maps: collections.abc.Sequence[pyopenms._pyopenms_kernel.FeatureMap], out: pyopenms._pyopenms_kernel.ConsensusMap) -> None
group(self, maps: collections.abc.Sequence[pyopenms._pyopenms_kernel.ConsensusMap], out: pyopenms._pyopenms_kernel.ConsensusMap) -> None

Group consensus maps

nextProgress#: Increment progress by 1 (according to range begin-end)

setLogType#: Sets the progress log that should be used. The default type is NONE!

setName#: Sets the name

setParameters#: Sets the parameters

setProgress#: Sets the current progress

startProgress#

transferSubelements#: Transfers subelements (grouped features) from input consensus maps to the result consensus map