Run a TreePPL program — tp

Run TreePPL and return output.

Usage

tp_run(
  sampler,
  data,
  dir = NULL,
  out_file_name = "out",
  n_runs = 1,
  n_processes = 3,
  ...
)

Arguments

sampler: a sampler_T outputted by tp_compile.
data: a base::character with the full path to the data file in TreePPL JSON format (as outputted by tp_data).
dir: a base::character with the full path to the directory where you want to save the output. Default is base::tempdir().
out_file_name: a base::character with the name of the output file in JSON format. Default is "out".
n_runs: a base::numeric giving the numbers of sweeps(SMC)/runs(MCMC).
n_processes: a base::numeric, number of parallel processes to use. Can't be superior to n_runs.
...: See tp_runtime_options for all supported arguments.

Value

A list of TreePPL output in parsed JSON format.

Examples

if (FALSE) { # \dontrun{
# When using SMC
# compile model and create SMC inference machinery
exe_path <- tp_compile(model = "coin", method = "smc-bpf", particles = 2000)

# prepare data
data_path <- tp_data(data_input = "coin")

# run TreePPL
result <- tp_run(exe_path, data_path, n_runs = 2)


# When using MCMC
# compile model and create MCMC inference machinery
exe_path <- tp_compile(model = "coin", method = "mcmc-naive", iterations = 2000)

# prepare data
data_path <- tp_data(data_input = "coin")

# run TreePPL
result <- tp_run(exe_path, data_path)
} # }