data/semisynth_transfer/configs/method_defaults.json

[
  {
    "method": "ssa",
    "display_name": "SSA",
    "family": "classical",
    "actual_runtime_method": "ssa",
    "backend_policy": "classical_parity_gated_detime",
    "dependency_requirements": [],
    "runtime_options": {
      "speed_mode": "fast"
    },
    "config_template": {
      "window": "4P",
      "rank": 10
    }
  },
  {
    "method": "ceemdan",
    "display_name": "CEEMDAN",
    "family": "classical",
    "actual_runtime_method": "ceemdan",
    "backend_policy": "classical_parity_gated_detime",
    "dependency_requirements": [],
    "config_template": {
      "trials": 50,
      "noise_width": 0.1,
      "primary_period": "P"
    }
  },
  {
    "method": "ma_baseline",
    "display_name": "MA baseline",
    "family": "classical",
    "actual_runtime_method": "ma_baseline",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "trend_window": "2P",
      "season_period": "P"
    }
  },
  {
    "method": "stl",
    "display_name": "STL",
    "family": "classical",
    "actual_runtime_method": "stl",
    "backend_policy": "classical_parity_gated_detime",
    "dependency_requirements": [],
    "config_template": {
      "period": "P"
    }
  },
  {
    "method": "vmd",
    "display_name": "VMD",
    "family": "classical",
    "actual_runtime_method": "vmd",
    "backend_policy": "classical_parity_gated_detime",
    "dependency_requirements": [],
    "config_template": {
      "K": 6,
      "alpha": 1000,
      "seasonal_num_modes": 1,
      "init": 2,
      "primary_period": "P"
    }
  },
  {
    "method": "wavelet",
    "display_name": "Wavelet",
    "family": "classical",
    "actual_runtime_method": "wavelet",
    "backend_policy": "classical_parity_gated_detime",
    "dependency_requirements": [
      "pywt"
    ],
    "config_template": {
      "wavelet": "sym4",
      "level": 4
    }
  },
  {
    "method": "autoformer_block",
    "display_name": "Autoformer block",
    "family": "neural_ma_family",
    "actual_runtime_method": "autoformer_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "moving_avg": "2P"
    }
  },
  {
    "method": "dlinear_block",
    "display_name": "DLinear block",
    "family": "neural_ma_family",
    "actual_runtime_method": "dlinear_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "moving_avg": "2P"
    }
  },
  {
    "method": "moving_average_decomposition_block",
    "display_name": "Moving-average decomposition block",
    "family": "neural_ma_family",
    "actual_runtime_method": "moving_average_decomposition_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "moving_avg": "2P"
    }
  },
  {
    "method": "nbeats_interpretable",
    "display_name": "N-BEATS interpretable",
    "family": "neural_learned_prior",
    "actual_runtime_method": "nbeats_interpretable",
    "backend_policy": "current_only",
    "dependency_requirements": [
      "torch"
    ],
    "config_template": {
      "degree_of_polynomial": 3,
      "num_harmonics": 8,
      "trend_blocks": 2,
      "seasonality_blocks": 2,
      "layers": 6,
      "layer_size": 128,
      "fit_scope": "full"
    }
  },
  {
    "method": "xpatch_block",
    "display_name": "xPatch block",
    "family": "neural_decomposition",
    "actual_runtime_method": "xpatch_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "trend_window": "2P",
      "season_smooth": "P/2"
    }
  },
  {
    "method": "leddam_block",
    "display_name": "LEDDAM block",
    "family": "neural_decomposition",
    "actual_runtime_method": "leddam_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "kernel_size": "2P",
      "sigma": 1.0
    }
  },
  {
    "method": "inparformer_block",
    "display_name": "InParformer block",
    "family": "neural_decomposition",
    "actual_runtime_method": "inparformer_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "trend_window": "2P",
      "fit_scope": "full"
    }
  },
  {
    "method": "delelstm_block",
    "display_name": "DeLELSTM block",
    "family": "neural_decomposition",
    "actual_runtime_method": "delelstm_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "alpha": 0.2,
      "beta": 0.1,
      "fit_scope": "full"
    }
  },
  {
    "method": "parsimony_block",
    "display_name": "Parsimony block",
    "family": "neural_decomposition",
    "actual_runtime_method": "parsimony_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "trend_window": "P",
      "num_harmonics": 1,
      "fit_scope": "full"
    }
  },
  {
    "method": "amd_block",
    "display_name": "AMD block",
    "family": "neural_decomposition",
    "actual_runtime_method": "amd_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "multiscale_windows": [
        "P",
        "2P",
        "4P"
      ],
      "fit_scope": "full"
    }
  },
  {
    "method": "times2d_block",
    "display_name": "Times2D block",
    "family": "neural_decomposition",
    "actual_runtime_method": "times2d_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "top_k_periods": 3,
      "num_harmonics": 1,
      "trend_window": "P",
      "fit_scope": "full"
    }
  },
  {
    "method": "st_mtm_block",
    "display_name": "ST-MTM block",
    "family": "neural_decomposition",
    "actual_runtime_method": "st_mtm_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "trend_window": "P",
      "season_smooth_window": "P/2",
      "fit_scope": "full"
    }
  },
  {
    "method": "waveform_block",
    "display_name": "WaveForM block",
    "family": "neural_wavelet_frequency",
    "actual_runtime_method": "waveform_block",
    "backend_policy": "current_only",
    "dependency_requirements": [
      "pywt"
    ],
    "config_template": {
      "wavelet": "sym4",
      "level": 4,
      "season_levels": [
        1,
        2
      ]
    }
  },
  {
    "method": "waveletmixer_block",
    "display_name": "WaveletMixer block",
    "family": "neural_wavelet_frequency",
    "actual_runtime_method": "waveletmixer_block",
    "backend_policy": "current_only",
    "dependency_requirements": [
      "pywt"
    ],
    "config_template": {
      "wavelet": "coif1",
      "level": 4,
      "season_levels": [
        1,
        2,
        3
      ]
    }
  },
  {
    "method": "freqmoe_block",
    "display_name": "FreqMoE block",
    "family": "neural_wavelet_frequency",
    "actual_runtime_method": "freqmoe_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "num_bands": 2,
      "expert_width": 64,
      "fit_scope": "full"
    }
  },
  {
    "method": "timekan_block",
    "display_name": "TimeKAN block",
    "family": "neural_wavelet_frequency",
    "actual_runtime_method": "timekan_block",
    "backend_policy": "current_only",
    "dependency_requirements": [],
    "config_template": {
      "num_bands": 2,
      "kan_width": 32,
      "trend_window": "P",
      "fit_scope": "full"
    }
  }
]