actsnclass.DataBase.make_query

DataBase.make_query(strategy='UncSampling', batch=1, seed=42, screen=False) → list

Identify new object to be added to the training sample.

Parameters:

• seed (int (optional)) – Random seed. Default is 42.

• strategy (str (optional)) – Strategy used to choose the most informative object. Current implementation accepts ‘UncSampling’ and ‘RandomSampling’. Default is UncSampling.

• batch (int (optional)) – Number of objects to be chosen in each batch query. Default is 1.

• screen (bool (optional)) – If true, display on screen information about the displacement in order and classificaion probability due to constraints on queryable sample.

Returns:

query_indx – List of indexes identifying the objects to be queried in decreasing order of importance. If strategy==’RandomSampling’ the order is irrelevant.

Return type:

list