prev_y9-eir/config.json

{
  "model_name": "RQS",
  "predictor": "prev_y9",
  "target": "eir",
  "width": 256,
  "depth": 2,
  "n_bins": 24,
  "rqs_bounds": 8,
  "mlp_residual": true,
  "dropout_rate": 0.05,
  "features": [
    "prev_y9",
    "dn0_use",
    "Q0",
    "phi_bednets",
    "seasonal",
    "itn_use",
    "irs_use"
  ],
  "feature_scalar_mean": [
    0.29001837968826294,
    0.3145143687725067,
    0.7966740131378174,
    0.6589758992195129,
    0.469308465719223,
    0.24106915295124054,
    0.14334255456924438
  ],
  "feature_scalar_scale": [
    0.23558740317821503,
    0.16059787571430206,
    0.1178336963057518,
    0.15951770544052124,
    0.4990571439266205,
    0.3166757822036743,
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  ],
  "feature_log_idx": [],
  "target_scalar_mean": [
    1.1071313619613647
  ],
  "target_scalar_scale": [
    0.796909511089325
  ]
}