ConfidenceScoring#

class pyopenms.ConfidenceScoring#

Bases: ProgressLogger

OpenMS class ConfidenceScoring

__init__(test_mode: bool = False) → None#
__init__(arg: pyopenms.ConfidenceScoring, /) → None

Methods

`__init__`([test_mode])
`endProgress`([bytes_processed])	Ends the progress display
`getLogType`()	Returns the type of progress log being used
`initialize`(library, n_decoys, n_transitions, ...)
`initializeGlm`(intercept, rt_coef, int_coef)
`nextProgress`()	Increment progress by 1 (according to range begin-end)
`scoreMap`(features)	Score a feature map -> make sure the class is properly initialized
`setLogType`(type)	Sets the progress log that should be used.
`setProgress`(value)	Sets the current progress
`startProgress`(begin, end, label)

Attributes

`CMD`
`GUI`
`NONE`

CMD = 0#

GUI = 1#

NONE = 2#

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

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

initialize(library: pyopenms.TargetedExperiment, n_decoys: int, n_transitions: int, rt_trafo: pyopenms.TransformationDescription) → None#

initializeGlm(intercept: float, rt_coef: float, int_coef: float) → None#

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

scoreMap(features: pyopenms.FeatureMap) → None#: Score a feature map -> make sure the class is properly initialized

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

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

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