QSVR¶
- class QSVR(*args, quantum_kernel=None, **kwargs)[source]¶
Bases:
SVR
,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)
- Parameters
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