mvpy performance regressions

8.98% bench_math.TimeMetricsContinuous.time_pearsonr('large_2d', 'numpy')

2026-04-10T13:01:12Z

8.98% regression on 2026-04-10 12:27:00 in commit 399a7d38.
New value: 4.97ms, old value: 4.56ms.
Latest value: 4.97ms (16.34% worse than best value 4.27ms).

88.69% bench_math.TimeMetricsContinuous.time_pearsonr('large_2d', 'mps')

2026-04-10T13:01:12Z

88.69% regression on 2026-04-10 12:27:00 in commit 399a7d38.
New value: 268μs, old value: 142μs.
Latest value: 268μs (88.69% worse than best value 142μs).

6.10% bench_math.TimeMetricsContinuous.time_cosine_d('large_2d', 'torch')

2026-04-10T12:59:44Z

6.10% regression on 2026-04-10 12:27:00 in commit 399a7d38.
New value: 658μs, old value: 620μs.
Latest value: 658μs (6.10% worse than best value 620μs).

8.75% bench_math.TimeMetricsContinuous.time_cosine('small_2d', 'mps')

2026-04-10T12:59:15Z

8.75% regression on 2026-04-10 12:27:00 in commit 399a7d38.
New value: 74.4μs, old value: 68.4μs.
Latest value: 74.4μs (8.77% worse than best value 68.4μs).

5.44% bench_math.TimeMetricsContinuous.peakmem_spearmanr_d('large_2d', 'torch')

2026-04-10T12:58:47Z

5.44% regression on 2026-04-10 12:27:00 in commit 399a7d38.
New value: 607M, old value: 576M.
Latest value: 607M (6.22% worse than best value 572M).

8.16% bench_math.TimeMetricsContinuous.peakmem_spearmanr('large_2d', 'numpy')

2026-04-10T12:58:18Z

8.16% regression on 2026-04-10 12:27:00 in commit 399a7d38.
New value: 587M, old value: 543M.
Latest value: 587M (10.20% worse than best value 533M).

5.88% bench_math.TimeMetricsContinuous.peakmem_rank('large_2d', 'torch')

2026-04-10T12:57:51Z

5.88% regression on 2026-04-10 12:27:00 in commit 399a7d38.
New value: 574M, old value: 542M.
Latest value: 574M (5.88% worse than best value 542M).

6.28% bench_math.TimeMetricsCategorical.peakmem_roc_auc('large_2d', 'torch')

2026-04-10T12:53:06Z

6.28% regression on 2026-04-10 12:27:00 in commit 399a7d38.
New value: 607M, old value: 571M.
Latest value: 607M (7.11% worse than best value 567M).

4.75% bench_math.TimeMetricsContinuous.time_pearsonr('medium_2d', 'torch')

2026-04-10T12:15:18Z

4.75% regression on 2026-04-10 09:55:39 in commits 35830615...0fffe820.
New value: 376μs, old value: 359μs.
Latest value: 382μs (6.39% worse than best value 359μs).

6.75% bench_math.TimeMetricsContinuous.time_pearsonr('large_2d', 'numpy')

2026-04-10T12:15:18Z

6.75% regression on 2026-04-10 09:55:39 in commits 35830615...0fffe820.
New value: 4.56ms, old value: 4.27ms.
Latest value: 4.97ms (16.34% worse than best value 4.27ms).

5.89% bench_math.TimeMetricsContinuous.time_euclidean('large_2d', 'numpy')

2026-04-10T12:14:19Z

5.89% regression on 2026-04-10 09:55:39 in commits 35830615...0fffe820.
New value: 986μs, old value: 931μs.
Latest value: 986μs (5.89% worse than best value 931μs).

3.00% bench_math.TimeMetricsCategorical.peakmem_roc_auc('large_2d', 'numpy')

2026-04-10T12:06:43Z

3.00% regression on 2026-04-10 09:55:39 in commits 35830615...0fffe820.
New value: 565M, old value: 548M.
Latest value: 589M (7.44% worse than best value 548M).

7.95% bench_math.TimeKernels.time_kernel_sigmoid('large_2d', 'numpy')

2026-04-10T12:05:42Z

7.95% regression on 2026-04-10 09:55:39 in commits 35830615...0fffe820.
New value: 11.0ms, old value: 10.2ms.
Latest value: 11.1ms (9.38% worse than best value 10.2ms).