Question: Complete the following code to create a least means squares linear model in Python, using Numpy import collections # LMS class class LMS(LinearModel): Lease

"Complete the following code to create a least means squares linear model in Python, using Numpy"

import collections

# LMS class class LMS(LinearModel): """ Lease Mean Squares. online learning algorithm attributes ========== w nd.array weight matrix alpha float learning rate """ def __init__(self, alpha): LinearModel.__init__(self) self.alpha = alpha # batch training by using train_step function def train(self, X, T): pass ## TODO: replace this with your code for the train function

## train CALLS train_step # train LMS model one step # here the x is 1d vector def train_step(self, x, t): pass ## TODO: replace this with your code for the train_step function.

## train_step is a SINGLE step/update of the model

# apply the current model to data def use(self, X): pass ## TODO: replace this with your code to use model

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