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
getProductName
(self)Returns the product name (for the Factory)
getSubsections
(self)Overload:
nextProgress
(self)Increment progress by 1 (according to range begin-end)
registerChildren
(self)Register all derived classes in this method
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
- getLogType(self) int #
Returns the type of progress log being used
- 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)
- registerChildren(self) None #
Register all derived classes in this method
- setLogType(self, in_0: int) None #
Sets the progress log that should be used. The default type is NONE!
- setProgress(self, value: int) None #
Sets the current progress
- transferSubelements(self, maps: List[ConsensusMap], out: ConsensusMap) None #
Transfers subelements (grouped features) from input consensus maps to the result consensus map