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| author |  Vijay Vasudevan <vrv@google.com> | 2016-01-24 23:05:22 -0800 |
|---|---|---|
| committer | Vijay Vasudevan <vrv@google.com> | 2016-01-24 23:06:20 -0800 |
| commit | 9b70316263eb74476ab96b7c0f300c4d90223425 (patch) | |
| tree | d10e30463edbc10e5225b80a90579abb00da87cf /tensorflow/python/training/ftrl_test.py | |
| parent | 87af568b0b3e920d91cdb2114fd3f40d8b9504a9 (diff) | |
Running our linter on a lot of files.
Change: 112920860
Diffstat (limited to 'tensorflow/python/training/ftrl_test.py')
| -rw-r--r-- | tensorflow/python/training/ftrl_test.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/python/training/ftrl_test.py b/tensorflow/python/training/ftrl_test.py index 062537c33b..c3eb28c4e0 100644 --- a/tensorflow/python/training/ftrl_test.py +++ b/tensorflow/python/training/ftrl_test.py @@ -170,7 +170,7 @@ class FtrlOptimizerTest(tf.test.TestCase): v0_val, v1_val = sess.run([var0, var1]) return v0_val, v1_val - # When variables are intialized with Zero, FTRL-Proximal has two properties: + # When variables are initialized with Zero, FTRL-Proximal has two properties: # 1. Without L1&L2 but with fixed learning rate, FTRL-Proximal is identical # with GradientDescent. # 2. Without L1&L2 but with adaptive learning rate, FTRL-Proximal is identical |