f1dd50395b7021c5194b3bd8e5c2900873c91f35,mlxtend/classifier/perceptron.py,Perceptron,__init__,#Perceptron#,34

Before Change

        self.eta = eta
        self.epochs = epochs

        if not learning in ("sgd", "gd", "perceptron"):
            raise ValueError("learning must be sgd, gd, or perceptron")
        self.learning = learning


    def fit(self, X, y, init_weights=None):
         Fit training data.

After Change

    
    def __init__(self, eta=0.01, epochs=50, random_state=1):

        np.random.seed(random_state)
        self.eta = eta
        self.epochs = epochs

    def fit(self, X, y, init_weights=None):

Instances