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| author |  Dandelion Mané <dandelion@google.com> | 2017-03-10 14:43:23 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2017-03-10 15:18:15 -0800 |
| commit | 0386a01ad3beb28364599d82199be1c0837b3fa9 (patch) | |
| tree | 3a1d2ef947a7bf37286efc0e8ff760e0401ab319 /tensorflow/examples/tutorials | |
| parent | e73ceaebb209a1e577e7240fba41c692c89143d0 (diff) | |
Merge changes from github.
Change: 149800363
Diffstat (limited to 'tensorflow/examples/tutorials')
| -rw-r--r-- | tensorflow/examples/tutorials/layers/cnn_mnist.py | 2 | ||||
| -rw-r--r-- | tensorflow/examples/tutorials/monitors/iris_monitors.py | 18 |
2 files changed, 10 insertions, 10 deletions
diff --git a/tensorflow/examples/tutorials/layers/cnn_mnist.py b/tensorflow/examples/tutorials/layers/cnn_mnist.py index 09dbffd517..aa92b1758a 100644 --- a/tensorflow/examples/tutorials/layers/cnn_mnist.py +++ b/tensorflow/examples/tutorials/layers/cnn_mnist.py @@ -148,7 +148,7 @@ def main(unused_argv): # Configure the accuracy metric for evaluation metrics = { "accuracy": - learn.metric_spec.MetricSpec( + learn.MetricSpec( metric_fn=tf.metrics.accuracy, prediction_key="classes"), } diff --git a/tensorflow/examples/tutorials/monitors/iris_monitors.py b/tensorflow/examples/tutorials/monitors/iris_monitors.py index 041592b9b0..a4bf353856 100644 --- a/tensorflow/examples/tutorials/monitors/iris_monitors.py +++ b/tensorflow/examples/tutorials/monitors/iris_monitors.py @@ -39,20 +39,20 @@ def main(unused_argv): validation_metrics = { "accuracy": - tf.contrib.learn.metric_spec.MetricSpec( + tf.contrib.learn.MetricSpec( metric_fn=tf.contrib.metrics.streaming_accuracy, - prediction_key=tf.contrib.learn.prediction_key.PredictionKey. - CLASSES), + prediction_key= + tf.contrib.learn.prediction_key.PredictionKey.CLASSES), "precision": - tf.contrib.learn.metric_spec.MetricSpec( + tf.contrib.learn.MetricSpec( metric_fn=tf.contrib.metrics.streaming_precision, - prediction_key=tf.contrib.learn.prediction_key.PredictionKey. - CLASSES), + prediction_key= + tf.contrib.learn.prediction_key.PredictionKey.CLASSES), "recall": - tf.contrib.learn.metric_spec.MetricSpec( + tf.contrib.learn.MetricSpec( metric_fn=tf.contrib.metrics.streaming_recall, - prediction_key=tf.contrib.learn.prediction_key.PredictionKey. - CLASSES) + prediction_key= + tf.contrib.learn.prediction_key.PredictionKey.CLASSES) } validation_monitor = tf.contrib.learn.monitors.ValidationMonitor( test_set.data, |