turicreate.toolkits.distances.manhattan¶

turicreate.toolkits.distances.
manhattan
(x, y)¶ Compute the Manhattan distance between between two dictionaries or two lists of equal length. Suppose x and y each contain \(d\) variables:
\[D(x, y) = \sum_i^d x_i  y_i\]Parameters:  x : dict or list
First input vector.
 y : dict or list
Second input vector.
Returns:  out : float
Manhattan distance between x and y.
Notes
 If the input vectors are in dictionary form, keys missing in one of the two dictionaries are assumed to have value 0.
 Manhattan distance is also known as “city block” or “taxi cab” distance.
References
Examples
>>> tc.distances.manhattan([1, 2, 3], [4, 5, 6]) 9.0 ... >>> tc.distances.manhattan({'a': 2, 'c': 4}, {'b': 3, 'c': 12}) 13.0