Programming, Data Science, Machine Learning, Python.
n_iter self.w = None self.b = None # Function to initialize the weight vector and the bias term with random small values def initialize_weights(self, X): n_features = X.shape[1] self.w = np.random.rand(n_features) self.b = np.random.rand() # Function to label the class of each sample as 1 or -1 def