def classify(self, input_vector):
return sign(dot(self.weights, input_vector) + self.bias)
def classify(self, input_vector):
weights = array_subtract(self.weights, scale_array(self.cached_weights, 1 / self.counter))
bias = self.bias - self.cached_bias / self.counter
return sign(dot(weights, input_vector) + bias)
def classify(vector, weights, bias):
activation = dot(vector, weights) + bias
return sign(activation)
