Problems with custom dataset using Minirocket classification
I’m working on a bigger school project, trying to classify timeseries measurements with Minirocket/Rocket. My trainingdata consists of a 1D matrix containing the measurements, and a seperate 1D matrix containing the corresponding labels (0/1). The matrices are equal length, so there is a label for each measurement value. I tried to run the program, which worked with other sample data, but I always receive the following error: “ValueError: Found input variables with inconsistent numbers of samples: [1, 321408]”. What am I doing wrong here? Do I have to format the training data differently or are there any other settings for MiniRocket which I have to adapt as well?