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iteration over a 0-d array #43
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Same problem when using:
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I'm having a similar issue on this Kaggle dataset which is really easy to predict (.99 f1 score with a random forest, default hyperparameters). Judging by the output, it may be because all of the features are relevant? |
this should been handled now with the latest pr, thanks to @guitarmind |
I am still facing this issue with the iris dataset. I installed the most recent version of BorutaPy directly from github and get the error if no features are rejected.
Adding iris['test'] = 1 an arbitrary column that leads to rejection does not raise the error. |
I forgot to update the pypy version.. please install the latest version from github directly. |
Hi Team -
I have faced this "iteration over a 0-d array" for a specific data set and read all the QA and understood it is fixed ( if i am right ). But it seems problem persists for A dataset(wine) .
There is NO nan values in any rows/columns or full array of nan values.but i am facing this issue.
It would of great help if u guide me on this , unless i am wrongly coded. Thanks
Here is the dataset and code
wine.csv.zip
FEATURE_SELECTION_BORUTA.py.zip
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