TransformationModelBSpline#

class pyopenms.TransformationModelBSpline#

Bases: object

Cython implementation of _TransformationModelBSpline

Original C++ documentation is available here: – Inherits from [‘TransformationModel’]

__init__(self, data: List[TM_DataPoint], params: Param) → None#

Methods

`__init__`(self, data, params)
`checkDatumRange`(self, datum, datum_min, ...)	Check that the datum is within the valid min and max bounds
`checkValidWeight`(self, weight, valid_weights)	Check for a valid weighting function string
`evaluate`(self, value)	Evaluates the model at the given values
`getDefaultParameters`	__static_TransformationModelBSpline_getDefaultParameters(params: Param ) -> None
`getParameters`(self)
`getValidXWeights`(self)	Returns a list of valid x weight function stringss
`getValidYWeights`(self)	Returns a list of valid y weight function strings
`unWeightData`(self, data)	Unweight the data by the given weight function
`unWeightDatum`(self, datum, weight)	Apply the reverse of the weighting function to the data
`weightData`(self, data)	Weight the data by the given weight function
`weightDatum`(self, datum, weight)	Weight the data according to the weighting function

checkDatumRange(self, datum: float, datum_min: float, datum_max: float) → float#: Check that the datum is within the valid min and max bounds

checkValidWeight(self, weight: bytes | str | String, valid_weights: List[bytes]) → bool#: Check for a valid weighting function string

evaluate(self, value: float) → float#: Evaluates the model at the given values

getDefaultParameters()#: __static_TransformationModelBSpline_getDefaultParameters(params: Param ) -> None

getParameters(self) → Param#

getValidXWeights(self) → List[bytes]#: Returns a list of valid x weight function stringss

getValidYWeights(self) → List[bytes]#: Returns a list of valid y weight function strings

unWeightData(self, data: List[TM_DataPoint]) → None#: Unweight the data by the given weight function

unWeightDatum(self, datum: float, weight: bytes | str | String) → float#: Apply the reverse of the weighting function to the data

weightData(self, data: List[TM_DataPoint]) → None#: Weight the data by the given weight function

weightDatum(self, datum: float, weight: bytes | str | String) → float#: Weight the data according to the weighting function