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logistic_regression.json
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75 lines (75 loc) · 1.81 KB
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{
"model": {
"class": "logistic_regression.LogisticRegression",
"args": {"n": 2000, "k": 10, "rho": 3.0}
},
"iterations": 1500,
"trials": 3,
"ppls": [
{
"name": "jags",
"inference": {
"class": "inference.MCMC"
},
"legend": {"color": "yellow", "name": "jags"}
},
{
"name": "stan",
"inference": {
"class": "inference.VI",
"infer_args": {"algorithm": "meanfield"}
},
"legend": {"color": "red", "name": "stan-VI-mean"}
},
{
"name": "stan",
"inference": {
"class": "inference.VI",
"infer_args": {"algorithm": "fullrank"}
},
"legend": {"color": "purple", "name": "stan-VI-full"}
},
{
"name": "stan",
"inference": {"class": "inference.MCMC"},
"legend": {"color": "blue"}
},
{
"name": "pymc3",
"inference": {
"class": "inference.MCMC",
"infer_args": {"algorithm": "NUTS"}
},
"legend": {"color": "green", "name": "pymc3-nuts"}
},
{
"name": "pymc3",
"inference": {
"class": "inference.VI",
"infer_args": {"algorithm": "FullRankADVI"}
},
"legend": {"color": "darkseagreen", "name": "pymc3-VI-full"}
},
{
"name": "numpyro",
"inference": {
"class": "inference.MCMC",
"infer_args": {"algorithm": "NUTS"}
},
"legend": {"color": "orange", "name": "numpyro"}
},
{
"name": "beanmachine",
"inference": {
"class": "inference.MCMC",
"infer_args": {
"algorithm": "GlobalNoUTurnSampler"
}
},
"legend": {"color": "purple", "name": "bm-nuts"}
}
],
"save_samples": true,
"loglevels": {"pystan": "INFO", "pplbench": "INFO"},
"figures": {"generate_pll": true, "suffix": "png"}
}