variational_inference_output.csv

# stan_version_major = 2
# stan_version_minor = 25
# stan_version_patch = 0
# model = test_model
# method = variational
#   variational
#     algorithm = meanfield (Default)
#       meanfield
#     iter = 10000 (Default)
#     grad_samples = 1 (Default)
#     elbo_samples = 100 (Default)
#     eta = 1 (Default)
#     adapt
#       engaged = 1 (Default)
#       iter = 50 (Default)
#     tol_rel_obj = 0.01 (Default)
#     eval_elbo = 100 (Default)
#     output_samples = 1000 (Default)
# id = 0 (Default)
# data
#   file =  (Default)
# init = 2 (Default)
# random
#   seed = 944715717 (Default)
# output
#   file = var.csv
#   diagnostic_file =  (Default)
#   refresh = 100 (Default)
#   sig_figs = -1 (Default)
#   profile_file = profile.csv (Default)
# num_threads = 1
# stanc_version = stanc3 4f8f010
# stancflags = 
lp__,log_p__,log_g__,x
# Stepsize adaptation complete.
# eta = 1
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