def get(self, event_key):
event = Event.get_by_id(event_key)
matchstats_dict = MatchstatsHelper.calculate_matchstats(event.matches, event.year)
if event.year == 2016:
organized_matches = MatchHelper.organizeMatches(event.matches)
match_predictions, match_prediction_stats = PredictionHelper.get_match_predictions(organized_matches['qm'])
ranking_predictions, ranking_prediction_stats = PredictionHelper.get_ranking_predictions(organized_matches['qm'], match_predictions)
matchstats_dict['match_predictions'] = match_predictions
matchstats_dict['match_prediction_stats'] = match_prediction_stats
matchstats_dict['ranking_predictions'] = ranking_predictions
matchstats_dict['ranking_prediction_stats'] = ranking_prediction_stats
if any([v != {} for v in matchstats_dict.values()]):
event.matchstats_json = json.dumps(matchstats_dict)
EventManipulator.createOrUpdate(event)
else:
logging.warn("Matchstat calculation for {} failed!".format(event_key))
template_values = {
'matchstats_dict': matchstats_dict,
}
path = os.path.join(os.path.dirname(__file__), '../templates/math/event_matchstats_do.html')
self.response.out.write(template.render(path, template_values))
def get(self, event_key):
event = Event.get_by_id(event_key)
matchstats_dict = MatchstatsHelper.calculate_matchstats(
event.matches, event.year)
if event.year == 2016:
organized_matches = MatchHelper.organizeMatches(event.matches)
match_predictions, match_prediction_stats = PredictionHelper.get_match_predictions(
organized_matches['qm'])
ranking_predictions, ranking_prediction_stats = PredictionHelper.get_ranking_predictions(
organized_matches['qm'], match_predictions)
matchstats_dict['match_predictions'] = match_predictions
matchstats_dict['match_prediction_stats'] = match_prediction_stats
matchstats_dict['ranking_predictions'] = ranking_predictions
matchstats_dict[
'ranking_prediction_stats'] = ranking_prediction_stats
if any([v != {} for v in matchstats_dict.values()]):
event.matchstats_json = json.dumps(matchstats_dict)
EventManipulator.createOrUpdate(event)
else:
logging.warn(
"Matchstat calculation for {} failed!".format(event_key))
template_values = {
'matchstats_dict': matchstats_dict,
}
path = os.path.join(os.path.dirname(__file__),
'../templates/math/event_matchstats_do.html')
self.response.out.write(template.render(path, template_values))
def get(self, event_key):
event = Event.get_by_id(event_key)
matchstats_dict = MatchstatsHelper.calculate_matchstats(
event.matches, event.year)
if any([v != {} for v in matchstats_dict.values()]):
pass
else:
logging.warn(
"Matchstat calculation for {} failed!".format(event_key))
matchstats_dict = None
predictions_dict = None
if event.year in {
2016, 2017, 2018, 2019, 2020
} and event.event_type_enum in EventType.SEASON_EVENT_TYPES or event.enable_predictions:
sorted_matches = MatchHelper.play_order_sort_matches(event.matches)
match_predictions, match_prediction_stats, stat_mean_vars = PredictionHelper.get_match_predictions(
sorted_matches)
ranking_predictions, ranking_prediction_stats = PredictionHelper.get_ranking_predictions(
sorted_matches, match_predictions)
predictions_dict = {
'match_predictions': match_predictions,
'match_prediction_stats': match_prediction_stats,
'stat_mean_vars': stat_mean_vars,
'ranking_predictions': ranking_predictions,
'ranking_prediction_stats': ranking_prediction_stats
}
event_insights = EventInsightsHelper.calculate_event_insights(
event.matches, event.year)
event_details = EventDetails(
id=event_key,
matchstats=matchstats_dict,
predictions=predictions_dict,
insights=event_insights,
)
EventDetailsManipulator.createOrUpdate(event_details)
template_values = {
'matchstats_dict': matchstats_dict,
}
if 'X-Appengine-Taskname' not in self.request.headers: # Only write out if not in taskqueue
path = os.path.join(os.path.dirname(__file__),
'../templates/math/event_matchstats_do.html')
self.response.out.write(template.render(path, template_values))
def get(self, event_key):
event = Event.get_by_id(event_key)
matchstats_dict = MatchstatsHelper.calculate_matchstats(event.matches, event.year)
if any([v != {} for v in matchstats_dict.values()]):
pass
else:
logging.warn("Matchstat calculation for {} failed!".format(event_key))
matchstats_dict = None
predictions_dict = None
if event.year in {2016, 2017, 2018} and event.event_type_enum in EventType.SEASON_EVENT_TYPES or event.enable_predictions:
sorted_matches = MatchHelper.play_order_sort_matches(event.matches)
match_predictions, match_prediction_stats, stat_mean_vars = PredictionHelper.get_match_predictions(sorted_matches)
ranking_predictions, ranking_prediction_stats = PredictionHelper.get_ranking_predictions(sorted_matches, match_predictions)
predictions_dict = {
'match_predictions': match_predictions,
'match_prediction_stats': match_prediction_stats,
'stat_mean_vars': stat_mean_vars,
'ranking_predictions': ranking_predictions,
'ranking_prediction_stats': ranking_prediction_stats
}
event_insights = EventInsightsHelper.calculate_event_insights(event.matches, event.year)
event_details = EventDetails(
id=event_key,
matchstats=matchstats_dict,
predictions=predictions_dict,
insights=event_insights,
)
EventDetailsManipulator.createOrUpdate(event_details)
template_values = {
'matchstats_dict': matchstats_dict,
}
if 'X-Appengine-Taskname' not in self.request.headers: # Only write out if not in taskqueue
path = os.path.join(os.path.dirname(__file__), '../templates/math/event_matchstats_do.html')
self.response.out.write(template.render(path, template_values))
def compute_f1_score(self, dataset):
if dataset == 'train':
x = self.data.x_train
y_true = np.argmax(self.data.y_train, axis=1)
elif dataset == 'cv':
x = self.data.x_val
y_true = np.argmax(self.data.y_val, axis=1)
elif dataset == 'test':
x = self.data.x_test
y_true = np.argmax(self.data.y_test, axis=1)
x_batch = dps.preprocess_imagebatch(self.data.x_train[0:500], [100, 100])
output = self.forward_propogate(x_batch)
y_preds = PredictionHelper.predict(output)
f1score = f1_score(y_true[0:500], y_preds, average='weighted')
return f1score