def predict_segmented(scaler, classifier, coords1, coords2):
vector1 = get_classifier_vector_from_coords(coords1, coords2)
vector2 = get_classifier_vector_from_coords(coords2, coords1)
if vector1 is not None:
vector1 = [vector1]
if scaler is not None:
vector1 = scaler.transform(vector1)
if vector2 is not None:
vector2 = [vector2]
if scaler is not None:
vector2 = scaler.transform(vector2)
return ((vector1 is not None) and classifier.predict(vector1) == [1]) or (
(vector2 is not None) and classifier.predict(vector2) == [1]
)
def get_segmented_analysis_vector_from_osm(osm_data, way1, way2):
vector = get_classifier_vector_from_coords(
osm_way_coords_and_nbways(osm_data, way1),
osm_way_coords_and_nbways(osm_data, way2))
return vector
