OptimizePeakDeconvolution

class pyopenms.OptimizePeakDeconvolution

Bases: object

Cython implementation of _OptimizePeakDeconvolution

Original C++ documentation is available here

– Inherits from [‘DefaultParamHandler’]

__init__()

Overload:

__init__(self) → None

Overload:

__init__(self, in_0: OptimizePeakDeconvolution) → None

Methods

__init__	Overload:
getCharge(self)	Returns the charge
getDefaults(self)	Returns the default parameters
getName(self)	Returns the name
getNumberOfPeaks_(self, charge, temp_shapes, ...)
getParameters(self)	Returns the parameters
getPenalties(self)	Returns the penalty parameter
getSubsections(self)
optimize(self, peaks, data)	Performs a nonlinear optimization of the peaks that belong to the current isotope pattern
setCharge(self, charge)	Sets the charge
setName(self, in_0)	Sets the name
setParameters(self, param)	Sets the parameters
setPenalties(self, penalties)	Sets the penalty parameter

getCharge(self) → int

Returns the charge

getDefaults(self) → Param

Returns the default parameters

getName(self) → bytes | str | String

Returns the name

getNumberOfPeaks_(self, charge: int, temp_shapes: List[PeakShape], data: OptimizePeakDeconvolution_Data) → int

getParameters(self) → Param

Returns the parameters

getPenalties(self) → PenaltyFactorsIntensity

Returns the penalty parameter

getSubsections(self) → List[bytes]

optimize(self, peaks: List[PeakShape], data: OptimizePeakDeconvolution_Data) → bool

Performs a nonlinear optimization of the peaks that belong to the current isotope pattern

setCharge(self, charge: int) → None

Sets the charge

setName(self, in_0: bytes | str | String) → None

Sets the name

setParameters(self, param: Param) → None

Sets the parameters

setPenalties(self, penalties: PenaltyFactorsIntensity) → None

Sets the penalty parameter