[ { "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" } } ]