INNER CODE UNIT · Python

net_input

rasbt/machine-learning-book · ch02/ch02.py:152

    def net_input(self, X):
        """Calculate net input"""
        return np.dot(X, self.w_) + self.b_

    def predict(self, X):
        """Return class label after unit step"""
        return np.where(self.net_input(X) >= 0.0, 1, 0)




v1 = np.array([1, 2, 3])
v2 = 0.5 * v1
np.arccos(v1.dot(v2) / (np.linalg.norm(v1) * np.linalg.norm(v2)))



# ## Training a perceptron model on the Iris dataset

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