PegasosQSVC.predict

PegasosQSVC.predict(X)

Perform classification on samples in X.

Parameters:

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.

Returns:

An array of the shape (n_samples), the predicted class labels for samples in X.

Raises:

• QiskitMachineLearningError –

  • predict is called before the model has been fit.

• ValueError –

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

Return type:

ndarray