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Diffstat (limited to 'tensorflow/docs_src/get_started/premade_estimators.md')
| -rw-r--r-- | tensorflow/docs_src/get_started/premade_estimators.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/docs_src/get_started/premade_estimators.md b/tensorflow/docs_src/get_started/premade_estimators.md index 45850a8996..4f01f997c3 100644 --- a/tensorflow/docs_src/get_started/premade_estimators.md +++ b/tensorflow/docs_src/get_started/premade_estimators.md @@ -372,7 +372,7 @@ Test set accuracy: 0.967 We now have a trained model that produces good evaluation results. We can now use the trained model to predict the species of an Iris flower -based on some unlabeled measurments. As with training and evaluation, we make +based on some unlabeled measurements. As with training and evaluation, we make predictions using a single function call: ```python |