Python inference_accuracy Beispiele

Beispiel #1

Datei: bayes_inference_test_features.py Projekt: spoilr/profiling

def propagate_evidence(theme, bn, possible_evidence, features, file_name, start, threhshold, nodes):
	combinations_possible_evidence = create_combinations_evidence(possible_evidence, start)
	for x in combinations_possible_evidence:
		evidences = create_evidence_from_list(x)
		for evidence in evidences:
			try:
				inf = inference(bn, evidence)
				inf = likelihood_from_inference(inf)
				# print inf

				accuracy = inference_accuracy(dataset, nodes, features, inf, threhshold)
				save_evidence(file_name, accuracy, evidence, len(x))

				print accuracy
			except Exception:
				print 'Exception ' + str(evidence)

Beispiel #2

Datei: bayes_inference_test_features_combined.py Projekt: spoilr/ml-profiling

def propagate_evidence(bn, possible_evidence, features, file_name, start, threhshold, nodes):
	combinations_possible_evidence = create_combinations_evidence(possible_evidence, start)
	for x in combinations_possible_evidence:
		# convert to string for join tree
		evidences = create_evidence_from_list(x)
		evidences = map(convert_values_to_string, evidences)

		for evidence in evidences:
			try:
				inf = jt_inference(bn, evidence)
				inf = likelihood_from_inference(inf)
				# print inf

				accuracy = inference_accuracy(dataset, nodes, features, inf, threhshold)
				save_evidence(file_name, accuracy, evidence, len(x))

				print accuracy
			except Exception:
				print 'Exception ' + str(evidence)