0457beb9a9ab772fa3d2a4b74ca6abf98205ff4b,loudml/loudml/fingerprints.py,FingerprintsModel,predict,#FingerprintsModel#Any#Any#Any#,282

Before Change

        // Prepare dataset
        nb_keys = self.max_keys
        dimens = 4 * self.nb_features
        dataset = np.zeros((nb_keys, dimens), dtype=float)

        // Fill dataset
        data = datasource.get_quadrant_data(self, from_ts, to_ts)

        i = None
        keys = []
        for i, (key, val) in enumerate(data):
            keys.append(key)
            dataset[i] = self.format_quadrants(val)

        if i is None:
            raise errors.NoData("no data found for time range {}-{}".format(

After Change

        // Fill dataset
        features_dicts=[]
        for agg_num, agg in enumerate(self.aggs):
            data = datasource.get_quadrant_data(self, agg, from_ts, to_ts)
            features = dict()
            for key, val in data:
                features[key] = self.format_quadrants(val, agg)
            features_dicts.append(features)

        keys, dataset = self._make_dataset(features_dicts)

        if len(keys) == 0:
            raise errors.NoData("no data found for time range {}-{}".format(

Instances