protocols.json

{
  "Linear": {
    "params_variable": {
      "fit_intercept": [true]
    },
    "params_static": {"n_jobs": -1}
  },
  "RandomForest": {
    "params_variable": {
      "n_estimators": [32, 64, 128, 256, 512, 1024],
      "max_depth": [4, 8, 16, 32],
      "min_samples_leaf": [1, 2, 4, 8],
      "min_samples_split": [2, 4, 8, 16]
    },
    "params_static": {
      "max_features": null,
      "random_state": 42,
      "n_jobs": -1
    }
  },
  "MLP": {
    "params_variable": {
      "hidden_layer_sizes": [32, 64, 128, 256, 512, 1024],
      "learning_rate_init": [1e-3, 1e-2, 5e-1, 1e-1],
      "alpha": [1e-4, 1e-3, 1e-2, 1e-1]
    },
    "params_static": {
      "max_iter": 200,
      "n_iter_no_change": 10,
      "learning_rate": "adaptive",
      "activation": "logistic",
      "solver": "adam",
      "early_stopping": true,
      "random_state": 42
    }
  }
}