Tranform Python code in Matlab

Hello, I'm new to Matlab and I want to transform a simple python code.I tried to do that alone but I don't know how to make array indexation, in this case X[pairs[:,0],:] . Here is my code:

def learning_distance_symmetric(W,X,pairs,batch_size=10000):
 """Compute an array of Euclidean distances between points indexed by pairs

    To make it memory-efficient, we compute the array in several batches.

    Parameters
    ----------
    X : array, shape (n_samples, n_features)
        Data matrix
    W : array, shape (n_features,n_features)
        Learned distance matrix

    pairs : array, shape (n_pairs, 2)
        Pair indices
    batch_size : int
        Batch size (the smaller, the slower but less memory intensive)

    Output
    ------
    dist : array, shape (n_pairs,)
        The array of distances
    """
      n_pairs = pairs.shape[0]
      dist = np.ones((n_pairs,), dtype=np.dtype("float32"))
      for a in range(0, n_pairs, batch_size):
          b = min(a + batch_size, n_pairs)
          diff = X[pairs[:,0],:] - X[pairs[:,1],:]
          dist[a:b] = np.sum(np.dot(W,diff.T)*diff.T, axis=0)
      return dist

Someone could give me some clues (Maybe the documentation dealing with this case) ? Thanks in advance.

Answer 1

[Ken Atwell]

MATLAB is 1-indexed, so I think you're looking for something like:

 diff = X(pairs(:,1),:) - X(pairs(:,2),:);

[Example Mo]

Thanks, it was exactly what I'm looking for.