som/som.py
def learning_rate(self, t):
        """Calculates the learning rate value for the given iteration, which is
        a number between 0 and 1.
        """
        # return self.init_learning_rate * (1 - t)
        return self.init_learning_rate / (1 + t)
        # return self.init_learning_rate * exp(-t)
        # return self.init_learning_rate * (.005 / self.init_learning_rate) ** t
Calculates the learning rate value for the given iteration, which is
        a number between 0 and 1.
        
Calculates the learning rate value for the given iteration, which is
a number between 0 and 1.
Calculates the learning rate value for the given iteration which is a number between 0 and 1 .
def learning_rate(self, t):
        return self.init_learning_rate / (1 + t)
def learning_rate ( self , t ) : return self . init_learning_rate / ( 1 + t )
Calculates the learning rate value for the given iteration, which is
a number between 0 and 1.
Calculates the learning rate value for the given iteration which is a number between 0 and 1 .
"""Calculates the learning rate value for the given iteration, which is
        a number between 0 and 1.
        """ # return self.init_learning_rate * (1 - t) # return self.init_learning_rate * exp(-t) # return self.init_learning_rate * (.005 / self.init_learning_rate) ** t
self
t