PegasosQSVC.decision_function

PegasosQSVC.decision_function(X)

Evaluate the decision function for the samples in X.

Parametri:

X (ndarray) – Features. For a callable kernel (an instance of BaseKernel) the shape should be (m_samples, n_features), for a precomputed kernel the shape should be (m_samples, n_samples). Where m denotes the set to be predicted and n the size of the training set. In that case, the kernel values in X have to be calculated with respect to the elements of the set to be predicted and the training set.

Tipo di ritorno:

ndarray

Ritorna:

An array of the shape (n_samples), the decision function of the sample.

Solleva:

• QiskitMachineLearningError –

  • the method is called before the model has been fit.

• ValueError –

  • Pre-computed kernel matrix has the wrong shape and/or dimension.