Python create_ndcg_lambda_weight Examples

Example #1

File: losses_test.py Project: we1559/ranking

 def test_create_ndcg_lambda_weight(self):
   sorted_labels = [[2.0, 1.0]]
   lambda_weight = ranking_losses.create_ndcg_lambda_weight()
   max_dcg = 3.0 / math.log(2.) + 1.0 / math.log(3.)
   with self.cached_session():
     self.assertAllClose(
         lambda_weight.pair_weights(sorted_labels).eval(),
         [[[0., 2. * (1. / math.log(2.) - 1. / math.log(3.)) / max_dcg],
           [2. * (1. / math.log(2.) - 1. / math.log(3.)) / max_dcg, 0.]]])

Example #2

 def test_create_ndcg_lambda_weight(self):
   with tf.Graph().as_default():
     labels = [[2.0, 1.0]]
     ranks = [[1, 2]]
     lambda_weight = ranking_losses.create_ndcg_lambda_weight()
     scale = 2.
     max_dcg = 3.0 / math.log(2.) + 1.0 / math.log(3.)
     with self.cached_session():
       self.assertAllClose(
           lambda_weight.pair_weights(labels, ranks).eval() / scale,
           [[[0., 2. * (1. / math.log(2.) - 1. / math.log(3.)) / max_dcg],
             [2. * (1. / math.log(2.) - 1. / math.log(3.)) / max_dcg, 0.]]])