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I was just trying out your AlphaPeptStats GUI on my machine. Unfortunately, I had some troubles when executing the workflow on the example dataset. Whenever I try to use normalization or imputation during preprocessing, I get the following error: Input X contains infinity or a value too large for dtype('float64').
But even if I don't change anything in the preprocessing, analysis methods like PCA sometimes throw errors like: ValueError: Input X contains infinity or a value too large for dtype('float64')..
I also tried this with another dataset that I am familiar with, but I run into the same error.
I was wondering if there is an in-app any way to prevent this from happening or if I would have to manually edit the data before uploading. I would be thankful for any advice that you can offer.
The text was updated successfully, but these errors were encountered:
I was just trying out your AlphaPeptStats GUI on my machine. Unfortunately, I had some troubles when executing the workflow on the example dataset. Whenever I try to use normalization or imputation during preprocessing, I get the following error:
Input X contains infinity or a value too large for dtype('float64').
But even if I don't change anything in the preprocessing, analysis methods like PCA sometimes throw errors like:
ValueError: Input X contains infinity or a value too large for dtype('float64').
.I also tried this with another dataset that I am familiar with, but I run into the same error.
I was wondering if there is an in-app any way to prevent this from happening or if I would have to manually edit the data before uploading. I would be thankful for any advice that you can offer.
The text was updated successfully, but these errors were encountered: