original_docstring: conver labels into one-hot vector, !!YOU CAN READ THIS LATER, if you are interested
      Args:
          label: [batch_size]
      Returns:
          onehot: [batch_size, categories]
      
docstring: conver labels into one-hot vector, !!YOU CAN READ THIS LATER, if you are interested
docstring_tokens: conver labels into one - hot vector !!YOU CAN READ THIS LATER if you are interested
code: def int2onehot(label):
      """conver labels into one-hot vector, !!YOU CAN READ THIS LATER, if you are interested
      Args:
          label: [batch_size]
      Returns:
          onehot: [batch_size, categories]
      """
      dims = len(set(label))
      imgs_size = len(label)
      onehot = np.zeros((imgs_size, dims))
      onehot[np.arange(imgs_size), label] = 1
      return onehot
code_tokens: def int2onehot ( label ) : dims = len ( set ( label ) ) imgs_size = len ( label ) onehot = np . zeros ( ( imgs_size , dims ) ) onehot [ np . arange ( imgs_size ) , label ] = 1 return onehot
short_docstring: conver labels into one-hot vector, !
short_docstring_tokens: conver labels into one - hot vector !
comment: """conver labels into one-hot vector, !!YOU CAN READ THIS LATER, if you are interested
      Args:
          label: [batch_size]
      Returns:
          onehot: [batch_size, categories]
      """