Rapid Miner Go Error: Scoring Data Attributes must be the subset of the original attributes!
Hi, I've been using rapid miner go for a while now and am getting an error that I have never seen before. I am trying to use a model ive built to get make predictions on new data. I have done this a number for times with no problems before but today I am getting this error
'undefined Error: File AugU0to5.xlsx has invalid content. Scoring Data Attributes must be the subset of the original attributes!'
every time i try to upload new data. I am even trying to run a prediction on the exact same spreadsheet I used on Friday with no problems but today I am getting this error.
How do I fix this?
'undefined Error: File AugU0to5.xlsx has invalid content. Scoring Data Attributes must be the subset of the original attributes!'
every time i try to upload new data. I am even trying to run a prediction on the exact same spreadsheet I used on Friday with no problems but today I am getting this error.
How do I fix this?
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Hi,
usually this means, that the excel file you want to score has additional columns which weren't there during training? Did you check this?
Best,
Martin
On other thing to note, the only data I am able to upload to score is the exact same sheet with all the data I used to train the model, which is kind of pointless. It is rejecting any new data sets. It looks like something might have changed over the weekend where its not allowing any different data points to be scored.
Hi @cramsden,
There was an error on our side, which we have fixed. You should be able to upload the files now.
Sorry for the inconveniences made,
Edmond
There was an error on our side, which we have fixed. You should be able to upload the files now.
Sorry for the inconveniences made,
Edmond
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Hi @cramsden,
There was an error on our side, which we have fixed. You should be able to upload the files now.
Sorry for the inconveniences made,
Edmond
There was an error on our side, which we have fixed. You should be able to upload the files now.
Sorry for the inconveniences made,
Edmond