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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2018-08-27 12:09:26 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-27 12:13:49 -0700 |
| commit | 918ec0d12ffa666dc9ae79366dbdc29127931370 (patch) | |
| tree | e8135e3bfc328d81c5c5c68ca6971af2f4540341 /tensorflow/contrib/timeseries | |
| parent | dbdf0ec5b3c5f5aca4b17d0f7db339c33fbf12f8 (diff) | |
Fix "estimator" spelling in contrib/timeseries/examples/known_anomaly.py
PiperOrigin-RevId: 210407945
Diffstat (limited to 'tensorflow/contrib/timeseries')
| -rw-r--r-- | tensorflow/contrib/timeseries/examples/known_anomaly.py | 8 | ||||
| -rw-r--r-- | tensorflow/contrib/timeseries/examples/known_anomaly_test.py | 4 |
2 files changed, 6 insertions, 6 deletions
diff --git a/tensorflow/contrib/timeseries/examples/known_anomaly.py b/tensorflow/contrib/timeseries/examples/known_anomaly.py index 71621abc71..1226433625 100644 --- a/tensorflow/contrib/timeseries/examples/known_anomaly.py +++ b/tensorflow/contrib/timeseries/examples/known_anomaly.py @@ -41,7 +41,7 @@ _MODULE_PATH = path.dirname(__file__) _DATA_FILE = path.join(_MODULE_PATH, "data/changepoints.csv") -def state_space_esitmator(exogenous_feature_columns): +def state_space_estimator(exogenous_feature_columns): """Constructs a StructuralEnsembleRegressor.""" def _exogenous_update_condition(times, features): @@ -68,7 +68,7 @@ def state_space_esitmator(exogenous_feature_columns): 4, 64) -def autoregressive_esitmator(exogenous_feature_columns): +def autoregressive_estimator(exogenous_feature_columns): input_window_size = 8 output_window_size = 2 return ( @@ -169,10 +169,10 @@ def main(unused_argv): "Please install matplotlib to generate a plot from this example.") make_plot("Ignoring a known anomaly (state space)", *train_and_evaluate_exogenous( - estimator_fn=state_space_esitmator)) + estimator_fn=state_space_estimator)) make_plot("Ignoring a known anomaly (autoregressive)", *train_and_evaluate_exogenous( - estimator_fn=autoregressive_esitmator, train_steps=3000)) + estimator_fn=autoregressive_estimator, train_steps=3000)) pyplot.show() diff --git a/tensorflow/contrib/timeseries/examples/known_anomaly_test.py b/tensorflow/contrib/timeseries/examples/known_anomaly_test.py index 8c64f2e186..57ccf8f260 100644 --- a/tensorflow/contrib/timeseries/examples/known_anomaly_test.py +++ b/tensorflow/contrib/timeseries/examples/known_anomaly_test.py @@ -28,7 +28,7 @@ class KnownAnomalyExampleTest(test.TestCase): def test_shapes_and_variance_structural_ar(self): (times, observed, all_times, mean, upper_limit, lower_limit, anomaly_locations) = known_anomaly.train_and_evaluate_exogenous( - train_steps=1, estimator_fn=known_anomaly.autoregressive_esitmator) + train_steps=1, estimator_fn=known_anomaly.autoregressive_estimator) self.assertAllEqual( anomaly_locations, [25, 50, 75, 100, 125, 150, 175, 249]) @@ -40,7 +40,7 @@ class KnownAnomalyExampleTest(test.TestCase): def test_shapes_and_variance_structural_ssm(self): (times, observed, all_times, mean, upper_limit, lower_limit, anomaly_locations) = known_anomaly.train_and_evaluate_exogenous( - train_steps=50, estimator_fn=known_anomaly.state_space_esitmator) + train_steps=50, estimator_fn=known_anomaly.state_space_estimator) self.assertAllEqual( anomaly_locations, [25, 50, 75, 100, 125, 150, 175, 249]) |