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Searched refs:anomaly_prior_probability (Results 1 – 4 of 4) sorted by relevance

/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
Dfiltering_postprocessor.py181 anomaly_prior_probability=0.01, argument
198 self._anomaly_prior_probability = anomaly_prior_probability
230 anomaly_prior_probability = ops.convert_to_tensor(
234 anomaly_log_likelihood + math_ops.log(anomaly_prior_probability))
237 outputs["log_likelihood"] + math_ops.log(1. - anomaly_prior_probability)
/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/
Destimators.py303 anomaly_prior_probability=None, anomaly_distribution=None, argument
349 if anomaly_prior_probability is None and anomaly_distribution is not None:
352 if anomaly_prior_probability is None:
379 anomaly_prior_probability=anomaly_prior_probability,
604 anomaly_prior_probability=None, argument
668 if anomaly_prior_probability is not None:
670 anomaly_prior_probability=anomaly_prior_probability)
Dar_model.py921 anomaly_prior_probability, argument
929 assert (anomaly_prior_probability < 1.0 and
930 anomaly_prior_probability > 0.0)
931 self._anomaly_prior_probability = anomaly_prior_probability
Dar_model_test.py114 anomaly_prior_probability=0.01 if anomaly_distribution else None,