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How does COPOD handle missing values and categorical variables?

Hi @winstonll, @yzhao062:

I am new to COPOD and have a few questions:

  1. Can COPOD handle missing values or do I have to impute the data first?
  2. How does COPOD handle categorical variables?
  3. Is there any way to pull the dimensional outlier graph as figure 2 in the paper via pyod? If not, what is the best way to get the 'variable importance' for each outlier?

Thank you!

File Missing

When run python benchmark_mat.py I got

Traceback (most recent call last):
File "/{python_path}/lib/python3.8/site-packages/scipy/io/matlab/mio.py", line 39, in _open_file
return open(file_like, mode), True
FileNotFoundError: [Errno 2] No such file or directory: '/{code_dir}/data/cover.mat'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/{code_dir}/results/benchmark_mat.py", line 77, in
mat = loadmat(os.path.abspath(os.path.join(os.path.dirname(file), '..') + '/data/' + mat_file))
File "/{python_path}/lib/python3.8/site-packages/scipy/io/matlab/mio.py", line 222, in loadmat
with _open_file_context(file_name, appendmat) as f:
File "/{python_path}/lib/python3.8/contextlib.py", line 113, in enter
return next(self.gen)
File "/{python_path}/ood/lib/python3.8/site-packages/scipy/io/matlab/mio.py", line 17, in _open_file_context
f, opened = _open_file(file_like, appendmat, mode)
File "/{python_path}/lib/python3.8/site-packages/scipy/io/matlab/mio.py", line 45, in _open_file
return open(file_like, mode), True
FileNotFoundError: [Errno 2] No such file or directory: '/{code_dir}/data/cover.mat'

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