SvmTheoreticalSpectrumGeneratorTrainer

class pyopenms.SvmTheoreticalSpectrumGeneratorTrainer

Bases: object

Cython implementation of _SvmTheoreticalSpectrumGeneratorTrainer

Original C++ documentation is available here

– Inherits from [‘DefaultParamHandler’]

__init__()

Overload:

__init__(self) → None

Overload:

__init__(self, in_0: SvmTheoreticalSpectrumGeneratorTrainer) → None

Methods

__init__	Overload:
getDefaults(self)	Returns the default parameters
getName(self)	Returns the name
getParameters(self)	Returns the parameters
getSubsections(self)
normalizeIntensity(self, S)
setName(self, in_0)	Sets the name
setParameters(self, param)	Sets the parameters
trainModel(self, spectra, annotations, ...)

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]

normalizeIntensity(self, S: MSSpectrum) → None

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

Sets the name

setParameters(self, param: Param) → None

Sets the parameters

trainModel(self, spectra: MSExperiment, annotations: List[AASequence], filename: bytes | str | String, precursor_charge: int) → None