QSVC¶
- class QSVC(*args, quantum_kernel=None, **kwargs)[source]¶
Bases:
sklearn.svm._classes.SVC
,qiskit_machine_learning.algorithms.serializable_model.SerializableModelMixin
Quantum Support Vector Classifier.
This class shows how to use a quantum kernel for classification. The class extends sklearn.svm.SVC, and thus inherits its methods like
fit
andpredict
used in the example below. Read more in the sklearn user guide.Example
qsvc = QSVC(quantum_kernel=qkernel) qsvc.fit(sample_train,label_train) qsvc.predict(sample_test)
- Parameters
quantum_kernel (
Optional
[QuantumKernel
]) -- QuantumKernel to be used for classification.*args -- Variable length argument list to pass to SVC constructor.
**kwargs -- Arbitrary keyword arguments to pass to SVC constructor.
Attributes
Returns quantum kernel
Methods