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    Searched refs:predicted_covariance (Results 1 - 3 of 3) sorted by null

  /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/
ar_model.py 132 predicted_covariance = gen_math_ops.exp(log_sigma_square)
133 predicted_covariance = array_ops.reshape(
134 predicted_covariance, [-1, self.output_window_size, num_values])
141 predicted_covariance = array_ops.ones(shape=shape, dtype=activation.dtype)
142 return predicted_covariance
177 Tuple (predicted_mean, predicted_covariance), where each element is a
210 predicted_covariance = self._predicted_covariance_op(activations,
214 "covariance": predicted_covariance}
295 predicted_covariance = prediction_ops["covariance"]
319 predicted_covariance)
    [all...]
model.py 255 return a "predicted_mean" and "predicted_covariance".
    [all...]
  /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
state_space_model_test.py 349 self, predicted_mean, predicted_covariance, window_size):
350 self.assertAllEqual(predicted_covariance.shape,
360 self.assertGreater(predicted_covariance[0, position + 2, 0, 0],
361 predicted_covariance[0, position, 0, 0])
380 predicted_covariance = prediction_dict["covariance"].eval()
381 self._check_predictions(predicted_mean, predicted_covariance,
410 predicted_covariance = predictions["covariance"].eval()
411 self._check_predictions(predicted_mean, predicted_covariance,

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