A few minor challenges reproducing your experiments. about appliancedetectionbenchmark HOT 6 CLOSED

Collecting sklearn
  Using cached sklearn-0.0.post5.tar.gz (3.7 kB)
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'error'

  error: subprocess-exited-with-error
  
  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [18 lines of output]
      The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
      rather than 'sklearn' for pip commands.
      
      Here is how to fix this error in the main use cases:
      - use 'pip install scikit-learn' rather than 'pip install sklearn'
      - replace 'sklearn' by 'scikit-learn' in your pip requirements files
        (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
      - if the 'sklearn' package is used by one of your dependencies,
        it would be great if you take some time to track which package uses
        'sklearn' instead of 'scikit-learn' and report it to their issue tracker
      - as a last resort, set the environment variable
        SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error
      
      More information is available at
      https://github.com/scikit-learn/sklearn-pypi-package
      
      If the previous advice does not cover your use case, feel free to report it at
      https://github.com/scikit-learn/sklearn-pypi-package/issues/new
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

[notice] A new release of pip available: 22.3.1 -> 23.1.2
[notice] To update, run: pip install --upgrade pip

/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/venv/bin/python /Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/src/CER_Benchmark.py cooker_case Rocket 
Traceback (most recent call last):
  File "/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/venv/lib/python3.7/site-packages/sktime/utils/validation/_dependencies.py", line 140, in _check_soft_dependencies
    pkg_ref = import_module(package_import_name)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 965, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'numba'

The above exception was the direct cause of the following exception:
  
Traceback (most recent call last):
  File "/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/src/CER_Benchmark.py", line 114, in <module>
    clf_arsenal = Arsenal(n_jobs=-1)
  File "/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/venv/lib/python3.7/site-packages/sktime/classification/kernel_based/_arsenal.py", line 159, in __init__
    super(Arsenal, self).__init__()
  File "/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/venv/lib/python3.7/site-packages/sktime/classification/base.py", line 94, in __init__
    _check_estimator_deps(self)
  File "/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/venv/lib/python3.7/site-packages/sktime/utils/validation/_dependencies.py", line 386, in _check_estimator_deps
    pkg_deps_ok = _check_soft_dependencies(*pkg_deps, severity=severity, obj=obj)
  File "/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/venv/lib/python3.7/site-packages/sktime/utils/validation/_dependencies.py", line 165, in _check_soft_dependencies
    raise ModuleNotFoundError(msg) from e
    ModuleNotFoundError: Arsenal requires package 'numba' to be present in the python environment, but 'numba' was not found. 'numba' is a soft dependency and not included in the base sktime installation. Please run: `pip install numba` to install the numba package. To install all soft dependencies, run: `pip install sktime[all_extras]`

Process finished with exit code 1

/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/venv/bin/python /Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/src/CER_Benchmark.py cooker_case Rocket 
Traceback (most recent call last):
  File "/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/src/CER_Benchmark.py", line 125, in <module>
    clf_eboss = BOSSEnsemble(n_jobs=-1)
NameError: name 'BOSSEnsemble' is not defined

Process finished with exit code 1

/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/venv/bin/python /Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/src/REFIT_Benchmark.py 
Traceback (most recent call last):
  File "/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/src/REFIT_Benchmark.py", line 221, in <module>
    path_res_n_houses = create_dir(path_res + str(h) + '_houses' + os.sep)
NameError: name 'h' is not defined

Process finished with exit code 1

/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/venv/bin/python /Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/src/REFIT_Benchmark.py KNNeucli 0 
Traceback (most recent call last):
  File "/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/src/REFIT_Benchmark.py", line 222, in <module>
    REFIT_case(str(sys.argv[1]), classifiers, [list_case[int(sys.argv[2])]], list_param, path_res_n_houses, nb_houses_used=nb_h)
  File "/Users/mforshaw/Downloads/ApplianceDetectionBenchmark-main-2/src/REFIT_Benchmark.py", line 110, in REFIT_case
    train, test = databuilder.BuildSaveNILMDataset(perc=perc_data_used)
TypeError: BuildSaveNILMDataset() got an unexpected keyword argument 'perc'