I am trying to replicate this https://cimcb.github.io/MetabWorkflowTutorial/Tutorial1.html and getting this error when running

# initalise cross_val kfold (stratified) 
cv = cb.cross_val.kfold(model=cb.model.PLS_SIMPLS,                   # model; we are using the PLS_SIMPLS model
                        X=XTknn,                                 
                        Y=Ytrain,                               
                        param_dict={'n_components': [1,2,3,4,5,6]},  # The numbers of latent variables to search                
                        folds=5,                                     # folds; for the number of splits (k-fold)
                        bootnum=100)                                 # num bootstraps for the Confidence Intervals

# run the cross validation
cv.run()  

AttributeError: can't set attribute

Need help on this.

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