Mercurial > hg > nsaunier > traffic-intelligence
comparison trafficintelligence/storage.py @ 1204:a12d126346ff
merge
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Wed, 22 Mar 2023 22:01:12 -0400 |
| parents | 7b3384a8e409 4356065ed3ca |
| children | 3905b393ade0 |
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| 1203:7b3384a8e409 | 1204:a12d126346ff |
|---|---|
| 754 'mean': row[3:5], | 754 'mean': row[3:5], |
| 755 'covar': array(literal_eval(row[5])), | 755 'covar': array(literal_eval(row[5])), |
| 756 'weight': row[7], | 756 'weight': row[7], |
| 757 'precisions': array(literal_eval(row[8]))}) | 757 'precisions': array(literal_eval(row[8]))}) |
| 758 if len(gmm) > 0: | 758 if len(gmm) > 0: |
| 759 tmp = mixture.GaussianMixture(len(gmm), covarianceType) | 759 tmp = mixture.GaussianMixture(n_components=len(gmm), covariance_type=covarianceType) |
| 760 tmp.means_ = array([gaussian['mean'] for gaussian in gmm]) | 760 tmp.means_ = array([gaussian['mean'] for gaussian in gmm]) |
| 761 tmp.covariances_ = array([gaussian['covar'] for gaussian in gmm]) | 761 tmp.covariances_ = array([gaussian['covar'] for gaussian in gmm]) |
| 762 tmp.weights_ = array([gaussian['weight'] for gaussian in gmm]) | 762 tmp.weights_ = array([gaussian['weight'] for gaussian in gmm]) |
| 763 tmp.gmmTypes = [gaussian['type'] for gaussian in gmm] | 763 tmp.gmmTypes = [gaussian['type'] for gaussian in gmm] |
| 764 tmp.precisions_cholesky_ = array([gaussian['precisions'] for gaussian in gmm]) | 764 tmp.precisions_cholesky_ = array([gaussian['precisions'] for gaussian in gmm]) |
