to solve the error you are asking for you can try this but it'll still have 
other errors after that
    
    
    import nimpy
    
    let rnd = pyImport("random")
    
    proc cross_validation_split(dataset:seq[float], n_folds:int): seq[float]=
        var dataset_split : seq[float]
        var dataset_copy = dataset
        var fold_size = int(dataset.len/n_folds)
        for i in 0..n_folds:
            var fold : seq[float]
            while fold.len < fold_size:
                var index = rnd.randrange(dataset_copy.len)
                fold.append(dataset_copy.pop(index))
            dataset_split.append(fold)
        return dataset_split
    
    
    
    Run

doing this however should get you the result you are looking for
    
    
    import random
    
    proc cross_validation_split(dataset:seq[float], n_folds:int): seq[float]=
        var dataset_split : seq[float]
        var dataset_copy = dataset
        var fold_size = int(dataset.len/n_folds)
        for i in 0..n_folds:
            var fold : seq[float]
            while fold.len < fold_size:
                var index = rand(dataset_copy.len)
                fold.add dataset_copy[index]
                dataset_copy.delete(index)
            dataset_split.add(fold)
        return dataset_split
    
    
    
    Run

Reply via email to