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After running a classification pipeline after the 3.37 install I get for the linear SVM:
Fitting failed.
The 'degree' parameter of SVC must be an int in the range [0, inf). Got 3.0 instead.
The funny thing is that there is no degree parameter in the linear SVM as it is... linear...
The relevant parameter is in the polynomial SVM where by default it is set at 3.0.
Probably this is the problem.
The system expects an integer and the default value and the parameter window reports the number as "3.0" that is perceived as non-integer.
Now, even if I install any older version the bug still exists...
What's wrong?
After running a classification pipeline after the 3.37 install I get for the linear SVM:
The funny thing is that there is no degree parameter in the linear SVM as it is... linear...
The relevant parameter is in the polynomial SVM where by default it is set at 3.0.
Probably this is the problem.
The system expects an integer and the default value and the parameter window reports the number as "3.0" that is perceived as non-integer.
Now, even if I install any older version the bug still exists...
How can we reproduce the problem?
Data file:
Credit Card Forecasting 400.xlsx
Orange file:
https://1drv.ms/u/s!ApNDH7n89OuPgdIT6GBAi3OGG3fhig?e=cDdIIx
What's your environment?
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