asreview.models.query.base.BaseQueryStrategy.query

abstract BaseQueryStrategy.query(X, classifier=None, n_instances=None, **kwargs)[source]

Query new instances.

Parameters

X (numpy.ndarray) – Feature matrix to choose samples from.
classifier (SKLearnModel) – Trained classifier to compute probabilities if they are necessary.
n_instances (int) – Number of instances to query.

Returns

(numpy.ndarray, numpy.ndarray) – The first is an array of shape (n_instances,) containing the row indices of the new instances in query order. The second is an array of shape (n_instances, n_feature_matrix_columns), containing the feature vectors of the new instances.