Comments (1)
Please, check if the problem still occurs with PR #37.
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Related Issues (20)
- Question: is there a fast method for `dcor.independence.distance_covariance_test` HOT 2
- OSError: [Errno 36] File name too long when importing dcor HOT 5
- Is there a fast way of doing pairwise distance correlation (dcor.distance_correlation) HOT 8
- __version__ returns 0.0. Version number is on a separate file HOT 6
- Process killed due to very large array HOT 2
- FileNotFoundError: [Errno 2] No such file or directory: 'C:\\Users\\domin\\PycharmProjects\\Trading_Backtesting_ML\\venv\\lib\\site-packages\\dcor\\__pycache__\\_fast_dcov_mergesort._generate_distance_covariance_sqr_mergesort_generic_impl.locals._distance_covariance_sqr_mergesort_generic_impl-163.py38.nbi.tmp.4ae6be2f415b45ff' HOT 2
- Improve performance of pairwise distances computation
- Add goodness-of-fit tests
- Add distance skewness and symmetry test
- Implement distance components (DISCO)
- Study and implement energy-based clustering
- Implement energy distance in terms of distance covariance
- Adding support for python 3.7 HOT 1
- Question about the shape of the input array HOT 3
- Can dcor with method 'AVL' or 'megresort' is applicable between two data types float and integer, respectively or it always has to be float? HOT 13
- Can distance correlation-based t test is theoretically correct to implement for "uni"-dimensional data? HOT 2
- Seemingly incorrect results with `int` datatype HOT 3
- Incorrect documentation about arbitrary dimensions HOT 2
- Range of distance correlation HOT 11
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