Pls help answer the quesion in the screenshot below, filling the code to satisfied the requirement. All the data set was in my computer already. Thanks!

Complete the Perceptron class. You can test your accuracy results using the "test_accuracy" function in "main.py". Perceptron(object): ef _init__(self, max_iter): self.max_iter = max_iter ef fit(self,X,y) : "" "Train perceptron model on data (X,y). Args: X: An array of shape [n_samples, n_features]. y : An array of shape [n_samples,]. Only contains 1 or 1. Returns: self: Returns an instance of self. \#\#\# YOUR CODE HERE \# After implementation, assign your weights w to self as below: # self.W =w \#\#\# END YOUR CODE return self def get_params(self): "" "Get parameters for this perceptron model. Returns: W: An array of shape [n_features,]. if self.W is None: print("Run fit first!") return self.W(-1) def predict(self, X): "" "Predict class labels for samples in X. Args : X: An array of shape [n_samples, n_features]. Returns: preds: An array of shape [n_samples,]. Only contains 1 or 1. \#\#\# YOUR CODE HERE \#\#\# END YOUR CODE lef score(self, x,y) : "" "Returns the mean accuracy on the given test data and labels. Args: X: An array of shape [n_samples, nfeatures]. y : An array of shape [n_samples,]. Only contains 1 or 1. Returns: score: An float. Mean accuracy of self.predict(X) wrt. y. \#\#\# YOUR CODE HERE \#\#\# END YOUR CODE