SimpleSVM

class pyopenms.SimpleSVM

Bases: object

Cython implementation of _SimpleSVM

Original C++ documentation is available here

– Inherits from [‘DefaultParamHandler’]

__init__()

Overload:

__init__(self) → None

Overload:

__init__(self, in_0: SimpleSVM) → None

Methods

__init__	Overload:
getDefaults(self)	Returns the default parameters
getFeatureWeights(self, feature_weights)	Returns the weights used for features (predictors) in the SVM model
getName(self)	Returns the name
getParameters(self)	Returns the parameters
getSubsections(self)
predict(self, predictions, indexes)	Predict class labels (and probabilities)
setName(self, in_0)	Sets the name
setParameters(self, param)	Sets the parameters
writeXvalResults(self, path)

getDefaults(self) → Param

Returns the default parameters

getFeatureWeights(self, feature_weights: Dict[Union[bytes, str, String], float]) → None

Returns the weights used for features (predictors) in the SVM model

Currently only supported for two-class classification If a linear kernel is used, the weights are informative for ranking features

getName(self) → Union[bytes, str, String]

Returns the name

getParameters(self) → Param

Returns the parameters

getSubsections(self) → List[bytes]

predict(self, predictions: List[SVMPrediction], indexes: List[int]) → None

Predict class labels (and probabilities)

Parameters

• predictions – Output vector of prediction results (same order as ``)

• indexes – Vector of observation indexes for which predictions are desired. If empty (default), predictions are made for all observations

setName(self, in_0: Union[bytes, str, String]) → None

Sets the name

setParameters(self, param: Param) → None

Sets the parameters

writeXvalResults(self, path: Union[bytes, str, String]) → None