FeatureGroupingAlgorithmKD#

class pyopenms.FeatureGroupingAlgorithmKD#

Bases: object

Cython implementation of _FeatureGroupingAlgorithmKD

Original C++ documentation is available here: – Inherits from [‘FeatureGroupingAlgorithm’, ‘ProgressLogger’]

__init__(self) → None#: A feature grouping algorithm for unlabeled data

Methods

`__init__`(self)	A feature grouping algorithm for unlabeled data
`endProgress`(self)	Ends the progress display
`getDefaults`(self)	Returns the default parameters
`getLogType`(self)	Returns the type of progress log being used
`getName`(self)	Returns the name
`getParameters`(self)	Returns the parameters
`getSubsections`(self)
`group`	Overload:
`nextProgress`(self)	Increment progress by 1 (according to range begin-end)
`setLogType`(self, in_0)	Sets the progress log that should be used.
`setName`(self, in_0)	Sets the name
`setParameters`(self, param)	Sets the parameters
`setProgress`(self, value)	Sets the current progress
`startProgress`(self, begin, end, label)
`transferSubelements`(self, maps, out)	Transfers subelements (grouped features) from input consensus maps to the result consensus map

endProgress(self) → None#: Ends the progress display

getDefaults(self) → Param#: Returns the default parameters

getLogType(self) → int#: Returns the type of progress log being used

getName(self) → bytes | str | String#: Returns the name

getParameters(self) → Param#: Returns the parameters

getSubsections(self) → List[bytes]#

group()#

Overload:

group(self, maps: List[FeatureMap], out: ConsensusMap) → None

Overload:

group(self, maps: List[ConsensusMap], out: ConsensusMap) → None

nextProgress(self) → None#: Increment progress by 1 (according to range begin-end)

setLogType(self, in_0: int) → None#: Sets the progress log that should be used. The default type is NONE!

setName(self, in_0: bytes | str | String) → None#: Sets the name

setParameters(self, param: Param) → None#: Sets the parameters

setProgress(self, value: int) → None#: Sets the current progress

startProgress(self, begin: int, end: int, label: bytes | str | String) → None#

transferSubelements(self, maps: List[ConsensusMap], out: ConsensusMap) → None#: Transfers subelements (grouped features) from input consensus maps to the result consensus map