Comments (4)
vnmabus
commented on September 25, 2024
I can not reproduce the crash in Windows. I will try in Linux when I have time. Can you provide a more detailed description of your environment?
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vnmabus
commented on September 25, 2024
I can not reproduce the crash in Linux either. Are you downloading dcor from pip or conda? What is your dcor version? Can you reexecute with valgrind, or look at the core dump in order to see where the crash happen? Thank you in advance.
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mnowotnik
commented on September 25, 2024
Sure, I'll post some info later.
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mnowotnik
commented on September 25, 2024
It might have been issue of improper usage. Cannot reproduce.
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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
- AttributeError: 'float' object has no attribute 'dtype' HOT 1
- 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
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- Implement distance components (DISCO)
- Study and implement energy-based clustering
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- 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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