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When i try this :
feature_select = NCFS(metric='euclidean') feature_select.fit(X, y)
I get an error (internally when it calls accelerated.fit())
SystemError: CPUDispatcher(<function fit at 0x7fcff95909d0>) returned a result with an error set
The text was updated successfully, but these errors were encountered:
Is there a functionality to externally set parallel to False ?
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Weird! I'll try and check it out when I get the chance. It works with metric="manhattan"?
metric="manhattan"
You can change the number of threads provided to it, which should essentially turn it off.
Info on limiting threads: https://numba.pydata.org/numba-doc/latest/user/threading-layer.html#setting-the-number-of-threads
In general, I would recommend not turning parallel off, as I can't guarantee how long it would take to converge.
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When i try this :
feature_select = NCFS(metric='euclidean') feature_select.fit(X, y)
I get an error (internally when it calls accelerated.fit())
SystemError: CPUDispatcher(<function fit at 0x7fcff95909d0>) returned a result with an error set
The text was updated successfully, but these errors were encountered: