added documentation

    return result

class Hingeloss():

class Hingeloss(Layer):

  def __init__(self, in_layers=None, weights, batch_size, labels, reg,

               **kwargs):

    """

      Inputs have dimension D, there are C classes, and we operate on minibatches

      of N examples.

      Inputs:

      Weigths: A numpy array of shape (D, C) containing weights.

      batch_size: A numpy array of shape (N, D) containing a minibatch of data.

      labels: A numpy array of shape (N,)

      reg: (float) regularization strength

    """

    self.weights = weights

    self.batch_size = batch_size