GibbsSamplerState(observation_noise_scale, level_scale, weights, level, seed, slope_scale, slope, seasonal_drift_scales, seasonal_levels)
tfp.experimental.sts_gibbs.GibbsSamplerState(
observation_noise_scale,
level_scale,
weights,
level,
seed,
slope_scale=0.0,
slope=0.0,
seasonal_drift_scales=0.0,
seasonal_levels=0.0
)
Attributes |
observation_noise_scale
|
A namedtuple alias for field number 0
|
level_scale
|
A namedtuple alias for field number 1
|
weights
|
A namedtuple alias for field number 2
|
level
|
A namedtuple alias for field number 3
|
seed
|
A namedtuple alias for field number 4
|
slope_scale
|
A namedtuple alias for field number 5
|
slope
|
A namedtuple alias for field number 6
|
seasonal_drift_scales
|
A namedtuple alias for field number 7
|
seasonal_levels
|
A namedtuple alias for field number 8
|