def run_experiment(self):
with open('{}/anomaly.json'.format(DATA_FOLDER), 'r') as f:
an_data = json.load(f)
agg = Aggregator(an_data)
incidents, relevance = agg.build_incidents_report()
metrics_df = pd.read_csv(
'{}/metrics_0_filter.csv'.format(DATA_FOLDER))
for key, item in incidents.items():
self.__do_report(metrics_df, an_data, key, item)
def run_experiment(self):
agg = Aggregator(255, 10)
with open('{}/anomaly.json'.format(DATA_FOLDER), 'r') as f:
an_data = json.load(f)
incidents, relevance = agg.build_incidents_report(an_data)
metrics_df = pd.read_csv('{}/metrics_0_filter.csv'.format(DATA_FOLDER))
for key, item in incidents.items():
image_file = '{}_viz.png'.format(key)
visualisation = VisualizeReports(metrics_df, an_data, item)
visualisation.visualize_with_siblings('{}/{}'.format(SAMPLES_FOLDER, image_file))
self.__upload_file('{}/{}'.format(SAMPLES_FOLDER, image_file), image_file)
self.__run_incident_report_buttons(key, image_file)
