"Read sparse data problem, Is it a bug?"
Hi,
I use RM 5.2;
I have a sparse dataset in RM Sparse Format. I used the "Read Sparse Operator" for reading my dataset. Because my label is the last token of the dataset, I set the format to "xy". So I have not any ".aml" file and nor label files. I ran the "Read Sparse Operator" and it worked fine and recognizes the "label attribute" very well.
Then I connected a KNN classifier to the "Read Sparse Operator" and I got the error: "Input example set must have special attribute 'label'."!!!
If RM has identified the label, so why it produces such an error when it is being connected to a classifier? now a more surprising fact: The process run with no problem, despite the generated error!!!
Is it a bug in RM or have I done something wrong?
Any help would be appreciated.
I use RM 5.2;
I have a sparse dataset in RM Sparse Format. I used the "Read Sparse Operator" for reading my dataset. Because my label is the last token of the dataset, I set the format to "xy". So I have not any ".aml" file and nor label files. I ran the "Read Sparse Operator" and it worked fine and recognizes the "label attribute" very well.
Then I connected a KNN classifier to the "Read Sparse Operator" and I got the error: "Input example set must have special attribute 'label'."!!!
If RM has identified the label, so why it produces such an error when it is being connected to a classifier? now a more surprising fact: The process run with no problem, despite the generated error!!!
Is it a bug in RM or have I done something wrong?
Any help would be appreciated.