Trying to run ufraw-batch in QProcess on macOS does not work

I currently try to extract the embedded images of some RAW images (.CR2) so I can display them as JPG in Qt. With the following code: QProcess ufraw; ufraw.start(“/bin/sh”, QStringList() << “-c” << “ufraw-batch /Users/dublin/Pictures/Ich/IMG_5098.CR2 –embedded-image”); ufraw.waitForFinished(-1); I try to run ufraw-batch. But this does not work even if I use startDetached(). There is no…

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Getting an error “ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()”

cols = [‘Restaurant’,’Average_Cost_Cleaned’,’Delivery_Time’,’Minimum_Order_Cleaned’, ‘Rating_Cleaned’,’Reviews_Cleaned’,’Votes_Cleaned’].index # Kindly Note: If I’m not using .index the the below code is showing the error as “KeyError: “[‘Reviews_Cleaned’, ‘Votes_Cleaned’] not in index” train_sample = train[cols] test_sample = test[cols[:-1]] Error: ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

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how to applying Cross Validation for all 10 fold (training and testing)?

I have this code and I want to apply 10 fold cross-validation for all fold(testing and training), The code below is only applied for one fold. how to write a loop for all fold (9 fold for Training, 1 fold for testing and loop for all fold)? dataset=pd.read_csv(“C:/Users/User/Desktop/minority class equal.csv”,encoding=’cp1252′) dataset.shape #output(53480, 37) array =…

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