def pattern_discovery(): import utils import pattern_discovery as patdis selections = utils.select_time_series(request.args.get("id", "")) (nodes, edges) = patdis.plot_bayesian_network(selections["current_dataset"]) return render_template("pattern_discovery.html", selections=selections, nodes=nodes, edges=edges)
def pattern_discovery_data(): import pattern_discovery selections = utils.select_time_series(request.args.get("id", "")) return json.dumps(pattern_discovery.find_patterns(selections["current_dataset"]))