Perceptron in Python v.1

perceptron.py

"""
MIT License

Copyright (c) 2018 Thomas Countz

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"""

import numpy as np

class Perceptron(object):

    def __init__(self, no_of_inputs, threshold=100, learning_rate=0.01):
        self.threshold = threshold
        self.learning_rate = learning_rate
        self.weights = np.zeros(no_of_inputs + 1)
           
    def predict(self, inputs):
        summation = np.dot(inputs, self.weights[1:]) + self.weights[0]
        if summation > 0:
          activation = 1
        else:
          activation = 0            
        return activation

    def train(self, training_inputs, labels):
        for _ in range(self.threshold):
            for inputs, label in zip(training_inputs, labels):
                prediction = self.predict(inputs)
                self.weights[1:] += self.learning_rate * (label - prediction) * inputs
                self.weights[0] += self.learning_rate * (label - prediction)

line 46: "inputs" is a tuple which can not be multiplied by a number. My suggestion is to convert it into an array.
for example : self.weights[1:] += self.learning_rate * (label - prediction) * np.array(inputs)

@hoanW, As written,training_inputs should be a list (or other iterable) of numpy arrays when passed into the train() function.

Here's an example usage and writeup:

https://gist.github.com/Thomascountz/baeecd8de6eb73f179d1342fd4519748
https://www.thomascountz.com/2018/04/05/19-line-line-by-line-python-perceptron

Sorry for the confusion and thank you for your feedback! Please let me know if this doesn't solve the problem.

thank you for clearing that up.