EmgGradientDescent

class pyopenms.EmgGradientDescent

Bases: object

Cython implementation of _EmgGradientDescent

Original C++ documentation is available here

– Inherits from [‘DefaultParamHandler’]

__init__()

Overload:

__init__(self) → None

Compute the area, background and shape metrics of a peak

Overload:

__init__(self, in_0: EmgGradientDescent) → None

Methods

__init__	Overload:
fitEMGPeakModel	Overload:
getDefaultParameters(self, in_0)
getDefaults(self)	Returns the default parameters
getName(self)	Returns the name
getParameters(self)	Returns the parameters
getSubsections(self)
setName(self, in_0)	Sets the name
setParameters(self, param)	Sets the parameters

fitEMGPeakModel()

Overload:

fitEMGPeakModel(self, input_peak: MSChromatogram, output_peak: MSChromatogram) → None

Overload:

fitEMGPeakModel(self, input_peak: MSSpectrum, output_peak: MSSpectrum) → None

Overload:

fitEMGPeakModel(self, input_peak: MSChromatogram, output_peak: MSChromatogram, left_pos: float, right_pos: float) → None

Overload:

fitEMGPeakModel(self, input_peak: MSSpectrum, output_peak: MSSpectrum, left_pos: float, right_pos: float) → None

getDefaultParameters(self, in_0: Param) → None

getDefaults(self) → Param

Returns the default parameters

getName(self) → bytes | str | String

Returns the name

getParameters(self) → Param

Returns the parameters

getSubsections(self) → List[bytes]

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

Sets the name

setParameters(self, param: Param) → None

Sets the parameters