Example #1
0
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)
Example #2
0
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"]))