stats_extensive.json

{
  "minimizer": {
    "objective": {"type":  "LogHist", "bins": 100, "min": 1e-2, "max": 1e6},
    "grad_norm": {"type":  "LogHist", "bins": 100, "min": 1e-2, "max": 1e6},
    "linesearch_step": {"type":  "LogHist", "bins": 50, "min": 1e-2, "max": 1.1},
    "cg_iters": {"type":  "LinHist", "bins": 100, "min": 0, "max": 50},
    "iter_time": {"type":  "LogHist", "bins": 100, "min": 1, "max": 1e9},
    "gradient": {"type":  "LogHist", "bins": 100, "min": 1e-3, "max": 1e2},
    "preconditioner": {"type":  "LogHist", "bins": 100, "min": 1e-3, "max": 1e2},
    "weight_vector": {"type":  "LogHist", "bins": 100, "min": 1e-3, "max": 1e2},
    "linesearch_fail": {"type":  "Tagged", "tag": "iteration"},
    "grad_norm_0":  {"type":  "LogHist", "bins": 100, "min": 1e-2, "max": 1e6}
  },
  "result": {
    "final_loss": {"type":  "LogHist", "bins": 100, "min": 1e-2, "max": 1e6},
    "final_grad": {"type":  "LogHist", "bins": 100, "min": 1e-2, "max": 1e6},
    "initial_loss": {"type":  "LogHist", "bins": 100, "min": 1e-2, "max": 1e6},
    "initial_grad": {"type":  "LogHist", "bins": 100, "min": 1e-2, "max": 1e6},
    "iters": {"type":  "LinHist", "bins": 50, "min": 0, "max": 50},
    "duration": {"type":  "LogHist", "bins": 100, "min": 1, "max": 1e6},
    "weights": {"type":  "LogHist", "bins": 100, "min": 1e-2, "max": 1e3}
  }
}