def get_haus_distance():
def pairwise(iterable):
"s -> (s0,s1), (s1,s2), (s2, s3), ..."
a, b = itertools.tee(iterable)
next(b, None)
return itertools.izip(a, b)
doc_id_list = request.form.getlist('doc_list')
distance = {}
for x, y in pairwise(doc_id_list + [doc_id_list[0]]):
distance[data_warehouse.get_doc_title_by_id(x) + ", " + data_warehouse.get_doc_title_by_id(y)] = MHD.\
get_min_of_avg_hausdorff_distance(
data_warehouse.get_stylometric_features_by_doc_id(x),
data_warehouse.get_stylometric_features_by_doc_id(y))
return jsonify(distance)
def get_haus_distance():
def pairwise(iterable):
"s -> (s0,s1), (s1,s2), (s2, s3), ..."
a, b = itertools.tee(iterable)
next(b, None)
return itertools.izip(a, b)
doc_id_list = request.form.getlist('doc_list')
distance = {}
for x, y in pairwise(doc_id_list + [doc_id_list[0]]):
distance[data_warehouse.get_doc_title_by_id(x) + ", " + data_warehouse.get_doc_title_by_id(y)] = MHD.\
get_min_of_avg_hausdorff_distance(
data_warehouse.get_stylometric_features_by_doc_id(x),
data_warehouse.get_stylometric_features_by_doc_id(y))
return jsonify(distance)
def get_csv_of_all_features():
author_list = []
feature_list = []
doc_id_list = request.form.getlist('doc_list')
for idx in range(0, len(doc_id_list)):
features = data_warehouse.get_stylometric_features_by_doc_id(doc_id_list[idx])
feature_list.extend(features)
author_list.extend([idx for x in range(len(features))])
string_io = StringIO()
cw = csv.writer(string_io)
cw.writerows(data_to_csv.get_output_lists_for_csv_after_3d_pca(author_list, feature_list))
output = make_response(string_io.getvalue())
output.headers['Content-type'] = 'text/plaintext'
return output
def get_csv_of_all_features():
author_list = []
feature_list = []
doc_id_list = request.form.getlist('doc_list')
for idx in range(0, len(doc_id_list)):
features = data_warehouse.get_stylometric_features_by_doc_id(doc_id_list[idx])
feature_list.extend(features)
author_list.extend([idx for x in range(len(features))])
string_io = StringIO()
cw = csv.writer(string_io)
cw.writerows(data_to_csv.get_output_lists_for_csv_after_3d_pca(author_list, feature_list))
output = make_response(string_io.getvalue())
output.headers['Content-type'] = 'text/plaintext'
return output
