LinearSvmMulticlassClassifier class

Definition

NimbusML Linear SVM Classifier for multiple classes that can be used within Nimbus pipelines.

LinearSvmMulticlassClassifier(random_state: typing.Union[int, numpy.random.mtrand.RandomState, NoneType] = 0, n_jobs: int = 1, **kwargs: typing.Any) -> None
Inheritance
LinearSvmMulticlassClassifier
nimbusml.internal.core.multiclass.onevsrestclassifier.OneVsRestClassifier
nimbusml.multiclass.onevsrestclassifier.OneVsRestClassifier
LinearSvmMulticlassClassifier

Parameters

random_state
int or RandomState

RandomState instance or None, optional (default=None) If int, random_state is the seed used by the random number generator; If RandomState instance, random_state is the random number generator; If None, the random number generator is the RandomState instance used by np.random.

n_jobs
int

Number of parallel threads.

kwargs

Other parameters Check https://docs.microsoft.com /en-us/python/api/nimbusml/nimbusml.linear_model.linearsvmbinaryclassifier for more parameters.