example.toml

[components]
model = "die.Die"
time = "pypfilt.Scalar"
sampler = "pypfilt.sampler.LatinHypercube"
summary = "pypfilt.summary.HDF5"

[time]
start = 0
until = 100
steps_per_unit = 1

[filter]
particles = 100
prng_seed = 2001
history_window = -1
resample.threshold = 0.25
regularisation.enabled = true
# NOTE: ensure probabilities are never zero.
regularisation.bounds.p_1 = { min = 1e-3, max = 1 }
regularisation.bounds.p_2 = { min = 1e-3, max = 1 }
regularisation.bounds.p_3 = { min = 1e-3, max = 1 }
regularisation.bounds.p_4 = { min = 1e-3, max = 1 }
regularisation.bounds.p_5 = { min = 1e-3, max = 1 }
regularisation.bounds.p_6 = { min = 1e-3, max = 1 }

[observations.roll]
model = "roll.Roll"

[summary.tables]
model_cints.component = "pypfilt.summary.ModelCIs"
model_cints.credible_intervals = [ 0, 50, 60, 70, 80, 90, 95 ]

[scenario.example]
prior.p_1 = { external = true, table = "prior.ssv", column = "p_1" }
prior.p_2 = { external = true, table = "prior.ssv", column = "p_2" }
prior.p_3 = { external = true, table = "prior.ssv", column = "p_3" }
prior.p_4 = { external = true, table = "prior.ssv", column = "p_4" }
prior.p_5 = { external = true, table = "prior.ssv", column = "p_5" }
prior.p_6 = { external = true, table = "prior.ssv", column = "p_6" }
observations.roll.file = "simulated-rolls.ssv"

[scenario.simulate]
filter.particles = 1
prior.p_1 = { name = "constant", args.value = 0.1 }
prior.p_2 = { name = "constant", args.value = 0.1 }
prior.p_3 = { name = "constant", args.value = 0.1 }
prior.p_4 = { name = "constant", args.value = 0.1 }
prior.p_5 = { name = "constant", args.value = 0.1 }
prior.p_6 = { name = "constant", args.value = 0.5 }