examples/sin_regression.json

{
  "_comment": "Sin regression example. STANNO approximates sin(2πx) on x∈[0,1]. FixedTrainerNet is equivalent to vanilla SGD — lr=0.05 converges to MAE~0.15. For MAE<0.01, use Adam (not available in FixedTrainer) or LocalRuleTrainerNet after meta-training.",
  "stanno": {
    "layers": [1, 32, 1],
    "trainer_type": "fixed",
    "learning_rate": 0.05,
    "feedback_projection": "repeat"
  },
  "data": {
    "format": "builtin:sin",
    "n_samples": 512,
    "split_ratio": 0.8,
    "normalize": false
  },
  "fit": {
    "epochs": 300,
    "batch_size": 64,
    "log_every": 30,
    "patience": 20
  },
  "save_path": "examples/sin_regression.stanno.pkl",
  "dream": [
    {
      "num_steps": 32,
      "noise_sigma": 0.0,
      "blind_inputs": false
    },
    {
      "num_steps": 32,
      "noise_sigma": 0.1,
      "blind_inputs": false
    },
    {
      "num_steps": 32,
      "noise_sigma": 0.3,
      "blind_inputs": true
    }
  ]
}