Need help coding this in python

Implement a k-fold cross validation function.

def kfoldcv(x, y, folds, model, error): Input: X: y: folds: model: nxd matrix n vector number of folds for each partition, fit X to all other partitions. Make prediction on the current partition. average error between true y and predicted y. error: Returns: True y Predicted y Average error # YOUR CODE HERE