FeatureFindingMetabo#
- class pyopenms.FeatureFindingMetabo#
Bases:
objectCython implementation of _FeatureFindingMetabo
- Original C++ documentation is available here
– Inherits from [‘ProgressLogger’, ‘DefaultParamHandler’]
- __init__()#
Overload:
- __init__(self) None
Method for the assembly of mass traces belonging to the same isotope pattern, i.e., that are compatible in retention times, mass-to-charge ratios, and isotope abundances
Overload:
- __init__(self, in_0: FeatureFindingMetabo) None
Methods
Overload:
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)nextProgress(self)Increment progress by 1 (according to range begin-end)
run(self, input_mtraces, output_featmap, ...)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)- endProgress(self) None#
Ends the progress display
- getLogType(self) int#
Returns the type of progress log being used
- getSubsections(self) List[bytes]#
- nextProgress(self) None#
Increment progress by 1 (according to range begin-end)
- run(self, input_mtraces: List[Kernel_MassTrace], output_featmap: FeatureMap, output_chromatograms: List[List[MSChromatogram]]) None#
- 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