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| author |  Patrick Nguyen <drpng@google.com> | 2018-05-01 14:28:36 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-05-01 14:33:20 -0700 |
| commit | 325d0ef21a48bea1cc618a2bd24a9776de417ce5 (patch) | |
| tree | d41cf6304071e95bebd5747ca87dfca571e98634 /tensorflow/examples | |
| parent | 46bf1e8934b3bc8edeff3f218a50b0ee5806e96b (diff) | |
Merge changes from github.
PiperOrigin-RevId: 194997009
Diffstat (limited to 'tensorflow/examples')
5 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/examples/tutorials/estimators/__init__.py b/tensorflow/examples/tutorials/estimators/__init__.py new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/tensorflow/examples/tutorials/estimators/__init__.py diff --git a/tensorflow/examples/tutorials/input_fn/__init__.py b/tensorflow/examples/tutorials/input_fn/__init__.py new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/tensorflow/examples/tutorials/input_fn/__init__.py diff --git a/tensorflow/examples/tutorials/layers/__init__.py b/tensorflow/examples/tutorials/layers/__init__.py new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/tensorflow/examples/tutorials/layers/__init__.py diff --git a/tensorflow/examples/tutorials/monitors/__init__.py b/tensorflow/examples/tutorials/monitors/__init__.py new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/tensorflow/examples/tutorials/monitors/__init__.py diff --git a/tensorflow/examples/tutorials/monitors/iris_monitors.py b/tensorflow/examples/tutorials/monitors/iris_monitors.py index 850d105f7b..a2b7fe6023 100644 --- a/tensorflow/examples/tutorials/monitors/iris_monitors.py +++ b/tensorflow/examples/tutorials/monitors/iris_monitors.py @@ -32,9 +32,9 @@ IRIS_TEST = os.path.join(os.path.dirname(__file__), "iris_test.csv") def main(unused_argv): # Load datasets. training_set = tf.contrib.learn.datasets.base.load_csv_with_header( - filename=IRIS_TRAINING, target_dtype=np.int, features_dtype=np.float) + filename=IRIS_TRAINING, target_dtype=np.int, features_dtype=np.float32) test_set = tf.contrib.learn.datasets.base.load_csv_with_header( - filename=IRIS_TEST, target_dtype=np.int, features_dtype=np.float) + filename=IRIS_TEST, target_dtype=np.int, features_dtype=np.float32) validation_metrics = { "accuracy": @@ -83,7 +83,7 @@ def main(unused_argv): # Classify two new flower samples. new_samples = np.array( - [[6.4, 3.2, 4.5, 1.5], [5.8, 3.1, 5.0, 1.7]], dtype=float) + [[6.4, 3.2, 4.5, 1.5], [5.8, 3.1, 5.0, 1.7]], dtype=np.float32) y = list(classifier.predict(new_samples)) print("Predictions: {}".format(str(y))) |