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