actsnclass.uncertainty_sampling

actsnclass.uncertainty_sampling(class_prob: numpy.array, test_ids: numpy.array, queryable_ids: numpy.array, batch=1, screen=False) → list

Search for the sample with highest uncertainty in predicted class.

Parameters:

• class_prob (np.array) – Classification probability. One value per class per object.
• test_ids (np.array) – Set of ids for objects in the test sample.
• queryable_ids (np.array) – Set of ids for objects available for querying.
• batch (int (optional)) – Number of objects to be chosen in each batch query. Default is 1.
• dump (bool (optional)) – If True display on screen the shift in index and the difference in estimated probabilities of being Ia caused by constraints on the sample available for querying.

Returns:

query_indx – List of indexes identifying the objects from the test sample to be queried in decreasing order of importance.

Return type:

list