diff options
Diffstat (limited to 'tensorflow/contrib/timeseries/python/timeseries/state_space_models/structural_ensemble.py')
| -rw-r--r-- | tensorflow/contrib/timeseries/python/timeseries/state_space_models/structural_ensemble.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/contrib/timeseries/python/timeseries/state_space_models/structural_ensemble.py b/tensorflow/contrib/timeseries/python/timeseries/state_space_models/structural_ensemble.py index 26ab726591..a7a80a8e3e 100644 --- a/tensorflow/contrib/timeseries/python/timeseries/state_space_models/structural_ensemble.py +++ b/tensorflow/contrib/timeseries/python/timeseries/state_space_models/structural_ensemble.py @@ -70,7 +70,7 @@ class StructuralEnsemble(state_space_model.StateSpaceIndependentEnsemble): `observation_noise`, `level_noise`, `trend noise`, `seasonality_noise`, and `transient` are (typically scalar) Gaussian random variables whose variance is - learned from data, and that variance is not time dependant in this + learned from data, and that variance is not time dependent in this implementation. Level noise is optional due to its similarity with observation noise in some cases. Seasonality is enforced by constraining a full cycle of seasonal variables to have zero expectation, allowing seasonality to adapt |