About predict_peaks()

[ccllabe]

Hello, I have a queation about running NeatMS code. When I run to predict_peaks(), show the error below: ValueError: Unexpected result of predict_function (Empty batch_outputs). Please use Model.compile(..., run_eagerly=True), or tf.config.run_functions_eagerly(True) for more information of where went wrong, or file a issue/bug to tf.keras. How can I fix this problem, thanks.

[yoglo]

Hi, are you using a default model, or did you train your own? It may be coming from a problem with the dimensions of the data that is passed as input not matching the dimensions the model expects - this might happen when the model is retrained from scratch with an architecture different from the base model.

[ccllabe]

Hi, are you using a default model, or did you train your own? It may be coming from a problem with the dimensions of the data that is passed as input not matching the dimensions the model expects - this might happen when the model is retrained from scratch with an architecture different from the base model.

Hello, I wonder how to get the raw data, I only have wiff format file. Is there a way to convert wiff file to raw file, thanks.

[yoglo]

Yes, you can convert your files to mzML format using MSconvert from ProteoWizard (this should help). You can also check out data format requirements on NeatMS doc here