def generate_measure_constructor(self):
# Note, won't contain self.quantity_goal, since this isn't really in the measure
if self.locality_kv[0] == 'Global':
raise NotImplementedError()
all_comp_measure_constructors = []
for rcdl_set_kv in self.rcdl_sets_kvs:
comp_measurer = self.cross_label_aggregator_kv[1](SplitterHider(
lambda s, *args, **kwargs: comp_sum(s.dn, 'added', rcdl_set_kv[1],
partial(self.set_item_score_seq_generator_kv[1],
op=self.set_item_score_combiner_kv[1]),
**kwargs)))
measure_constructor = partial(GenericCompetenceMeasure, comp_measurer)
if self.density_inclusion_kv[1]:
measure_constructor = Measure.create_measure_constructor(average, [measure_constructor, self.density_inclusion_kv[1]])
all_comp_measure_constructors.append(measure_constructor)
if len(all_comp_measure_constructors) > 1:
measure_constructor = Measure.create_measure_constructor(self.measure_reducer_kv[1], all_comp_measure_constructors)
return measure_constructor
sum((direct_other(comp_sum(s.do, 'added', rcdl, direct_other_totaller, **kwargs)),
flip_added(comp_sum(s.f, 'added', rcdl, flip_added_totaller, **kwargs)),
flip_removed(comp_sum(s.f, 'removed', rcdl, flip_removed_totaller, **kwargs)))))),
Any(SplitterHider(lambda s, *args, **kwargs: comp_sum(s.s, 'removed', rcdl, shunt_totaller, **kwargs)))),
op=op)
named_selection_strategy_generators = [
("Random Selection", random_selection_strategy_generator),
("Uncertainty Sampling", classifier_output_selection_strategy_generator),
("Margin Sampling", margin_sampling_selection_strategy_generator),
("Maximum Diversity Sampling", maximum_diversity_selection_strategy_generator),
("Sparsity Minimization", partial(SingleCompetenceSelectionStrategy,
SparsityMeasure,
SingleCompetenceSelectionStrategy.take_minimum)),
("Diversity + Density Maximization", partial(SingleCompetenceSelectionStrategy,
Measure.create_measure_constructor(average, [DiversityMeasure, DensityMeasure]),
SingleCompetenceSelectionStrategy.take_maximum)),
("Certainty + Sparsity Minimization", partial(SingleCompetenceSelectionStrategy,
Measure.create_measure_constructor(average, [ClassifierCertaintyMeasure, SparsityMeasure]),
SingleCompetenceSelectionStrategy.take_minimum)),
("CompStrat - Global Coverage (Counting)",
create_other_case_generic('c', pos, pos, neg, pos, take_minimum)),
("CompStrat - Global Reachability (Counting)",
create_other_case_generic('r', pos, pos, neg, pos, take_minimum)),
("CompStrat - Global Liability (Counting)",
create_other_case_generic('l', lambda e: 0, pos, neg, pos, take_maximum)),
("CompStrat - Global Dissimilarity (Counting)",
