skqulacs.qsvm.qsvr module#

class skqulacs.qsvm.qsvr.QSVR(circuit: skqulacs.circuit.circuit.LearningCircuit)[source]#

Bases: object

class to solve regression problems with support vector regressor with a quantum kernel

fit(x: numpy.ndarray[Any, numpy.dtype[numpy.float64]], y: numpy.ndarray[Any, numpy.dtype[numpy.int64]]) → None[source]#

train the machine. :param x: training inputs :param y: training teacher values

predict(xs: numpy.ndarray[Any, numpy.dtype[numpy.float64]]) → numpy.ndarray[Any, numpy.dtype[numpy.float64]][source]#

predict y values for each of xs :param xs: inputs to make predictions :return: List[int], predicted values of y