| { | |
| "metric_name": "spearman", | |
| "metric_value": 0.8213297790184827, | |
| "details": { | |
| "optimal_similarity_metric": "manhatten_distance", | |
| "val_scores": { | |
| "cosine_similarity": { | |
| "pearson": 0.8341982404976528, | |
| "spearman": 0.7825049368314301 | |
| }, | |
| "manhatten_distance": { | |
| "pearson": 0.8221562123952046, | |
| "spearman": 0.7830096343603999 | |
| }, | |
| "euclidean_distance": { | |
| "pearson": 0.8221562123952046, | |
| "spearman": 0.7830096343603999 | |
| }, | |
| "dot_score": { | |
| "pearson": 0.8056563438618474, | |
| "spearman": 0.7471043843298736 | |
| } | |
| }, | |
| "test_scores": { | |
| "manhatten_distance": { | |
| "pearson": 0.8556382223713024, | |
| "spearman": 0.8213297790184827 | |
| } | |
| } | |
| } | |
| } |