FeatureFindingMetabo#

class pyopenms.FeatureFindingMetabo#

Bases: DefaultParamHandler

Internal structure used in @ref FeatureFindingMetabo that keeps track of a feature hypothesis (isotope group hypothesis)

__init__() → None#

Methods

`__init__`()
`endProgress`([bytes_processed])	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`()
`nextProgress`()	Increment progress by 1 (according to range begin-end)
`run`(input_mtraces, output_featmap)
`setLogType`(type)	Sets the progress log that should be used.
`setName`(name)	Sets the name
`setParameters`(param)	Sets the parameters
`setProgress`(value)	Sets the current progress
`startProgress`(begin, end, label)

endProgress(bytes_processed: int = 0) → None#: Ends the progress display

getDefaults() → pyopenms.Param#: Returns the default parameters

getLogType() → pyopenms.ProgressLogger.LogType#: Returns the type of progress log being used

getName() → str#: Returns the name

getParameters() → pyopenms.Param#: Returns the parameters

getSubsections() → list[str]#

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

run(input_mtraces: collections.abc.Sequence[pyopenms.MassTrace], output_featmap: pyopenms.FeatureMap) → tuple#

setLogType(type: pyopenms.ProgressLogger.LogType) → None#: Sets the progress log that should be used. The default type is NONE!

setName(name: str) → None#: Sets the name

setParameters(param: pyopenms.Param) → None#: Sets the parameters

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

startProgress(begin: int, end: int, label: str) → None#