Multiclass classification #178
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add multilabel test for quantum vqc
change get_binary_feat to get_separable_feat
missing return
replace base by super
renamed: - _map_0_1_to_classes - _map_1_0_to_classes remove exception for binary classification in : - _split_classes and fit
change class to idx and split methods to support multi labels classification
add test for split classes with n_classes = 3
fix test on split_classes
fix bug with split_classes (index error)
remove hardcoded n_classes=2
fix the number of sample
fix class_len not updated after updating number of classes from 2 to 3
general one-hot encoded for multi-class
changed get mne dataset to return auditory stimulation if required
fix imports and display
…in Qiskit now) - remove multilabels->multiclasses - complete example
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This PR enables multiclass classification, as per #6.
The Qiskit API has considerably changed since issue #6 was opened, so the implementation was quicker than expected.