Comments (5)
Hi @koksalhakan
As you said, it looks like the reference train/test are different from the predicted train/test. Are you sure it's the no_data value? Can you try getting the unique labels of train/test reference and predicted labels?
Sometime a test patch might contain a label that was not seen in the training patches, generating this error.
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Hello Devis,
I think you are right. It is not about no_data label. Probably machine predicts another class that does not exist in the reference patch.
Or contrary situation, train has more label. I'll try for current reference dataset and if i get same error i'll make return about this issue again.
Thank you...
I wanna ask something else. How can i execute this process for all patches end-to-end as automatically ?
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Hi @koksalhakan!
What process are you talking about exactly? Do you mean applying the prediction to all patches?
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Hi @mlubej
Exactly. How can i do that?
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Hi @koksalhakan
Please check the functionalities implemented in the ml_tools
classifier module. A similar task can be created for your specific classifier, as done in the land cover example
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