I’m using the variational()
function and setting eta = 1
, but that doesn’t seem to matter: Stan is still trying to find eta. Sorry if I’m misunderstanding this option (new to variational Bayes).
some_data |>
cell_line_model$variational(eta = 1)
Give me
...
Gradient evaluation took 0.248526 seconds
1000 transitions using 10 leapfrog steps per transition would take 2485.26 seconds.
Adjust your expectations accordingly!
Begin eta adaptation.
Iteration: 1 / 250 [ 0%] (Adaptation)
Iteration: 50 / 250 [ 20%] (Adaptation)
Iteration: 100 / 250 [ 40%] (Adaptation)
Iteration: 150 / 250 [ 60%] (Adaptation)
Iteration: 200 / 250 [ 80%] (Adaptation)
Success! Found best value [eta = 1] earlier than expected.
...
Operating System: MacOS 14.4.1
Interface Version: 0.7.1 (cmdstan v2.34.1)
Compiler/Toolkit:
Thanks,
Karim