Note

This is the documentation for the current state of the development branch of Qiskit Experiments. The documentation or APIs here can change prior to being released.

SkQDA

class SkQDA(qda)

A wrapper for the SKlearn quadratic discriminant analysis.

Note

This class requires that scikit-learn is installed.

Parameters:

qda (QuadraticDiscriminantAnalysis) – The sklearn quadratic discriminant analysis. This may be a trained or an untrained discriminator.

Raises:

DataProcessorError – If SKlearn could not be imported.

Attributes

discriminator

Return then SKLearn object.

Methods

config()

Return the configuration of the QDA.

Return type:

Dict[str, Any]

fit(data, labels)

Fit the QDA.

Parameters:

• data (List) – The independent data.

• labels (List) – The labels corresponding to data.

classmethod from_config(config)

Deserialize from an object.

Return type:

SkQDA

is_trained()

Return True if the discriminator has been trained on data.

Return type:

bool

predict(data)

Wrap the predict method of the QDA.