aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/contrib/factorization/python/ops/factorization_ops.py
diff options
context:
space:
mode:
Diffstat (limited to 'tensorflow/contrib/factorization/python/ops/factorization_ops.py')
-rw-r--r--tensorflow/contrib/factorization/python/ops/factorization_ops.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/factorization/python/ops/factorization_ops.py b/tensorflow/contrib/factorization/python/ops/factorization_ops.py
index 14a2311a42..fb400dbcea 100644
--- a/tensorflow/contrib/factorization/python/ops/factorization_ops.py
+++ b/tensorflow/contrib/factorization/python/ops/factorization_ops.py
@@ -800,7 +800,7 @@ class WALSModel(object):
regularization: A tensor (scalar) that contains the normalized
regularization term for the minibatch loss corresponding to sp_input.
sum_weights: The sum of the weights corresponding to sp_input. This
- can be used with unregularized loss to caluclate the root weighted
+ can be used with unregularized loss to calculate the root weighted
squared error.
"""
assert isinstance(sp_input, sparse_tensor.SparseTensor)