config_requirements.json

{
  "_comment" : "This file specifies required parameters in the config file. If a value is given, it is used as a default when the parameter is absent.",
  "run_config": {
    "exp_name": "unnamed_experiment",
    "imports": ["src.engineering.LitPSD"],
    "run_class": "LitPSD"
  },
  "system_config":{
    "model_name": "unnamed_model",
    "type_names": [""],
    "n_samples": 0
  },
  "net_config":{
    "criterion_class": "CrossEntropyLoss",
    "criterion_params": [],
    "imports": ["torch.nn","sparseconvnet","SCNet"],
    "net_class": "SCNet.SCNet",
    "sequence_class": "sparseconvnet.Sequential",
    "net_type": "2DConvolution"
  },
  "optimize_config": {
    "imports": [
      "torch.optim",
      "torch.optim.lr_scheduler"
    ],
    "total_epoch": 30,
    "lr": 1e-3,
    "validation_freq": 1,
    "optimizer_class": "optim.SGD",
    "optimizer_params": {
      "momentum": 0.9,
      "weight_decay": 0,
      "dampening": 0,
      "nesterov": true
    },
    "scheduler_class": "lr_scheduler.ExponentialLR",
    "scheduler_params": {
      "gamma": 0.9
    }
  },
  "dataset_config": {
    "mode": "path",
    "base_path": "",
    "paths": [
      "Positron",
      "OrthoPositronium"
    ],
    "imports": [
      "PulseDataset"
    ],
    "dataset_class": "PulseDataset2D",
    "dataset_params": {},
    "n_train": 0,
    "n_validate": 0
  }
}