diff --git "a/models/model_heat_pump.txt" "b/models/model_heat_pump.txt" new file mode 100644--- /dev/null +++ "b/models/model_heat_pump.txt" @@ -0,0 +1,19198 @@ +tree +version=v4 +num_class=1 +num_tree_per_iteration=1 +label_index=0 +max_feature_idx=66 +objective=regression +feature_names=hour day_of_week day month season hour_sin hour_cos day_of_week_sin day_of_week_cos day_sin day_cos month_sin month_cos season_sin season_cos part_of_day is_working_hours is_weekend exact_1 mean_1 median_1 std_1 min_1 max_1 exact_3 mean_3 median_3 std_3 min_3 max_3 exact_6 mean_6 median_6 std_6 min_6 max_6 exact_12 mean_12 median_12 std_12 min_12 max_12 exact_24 mean_24 median_24 std_24 min_24 max_24 exact_48 mean_48 median_48 std_48 min_48 max_48 exact_96 mean_96 median_96 std_96 min_96 max_96 exact_192 mean_192 median_192 std_192 min_192 max_192 type +feature_infos=[0:23] [0:6] [1:31] [1:12] [0:3] [-0.99766876919053926:0.99766876919053915] [-0.99068594603633064:1] 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+num_cat=0 +split_feature=23 41 26 32 45 37 27 27 38 62 32 33 52 24 24 +split_gain=0.0320437 0.00192647 0.0020105 0.000144875 0.000579714 0.000139886 0.000214304 9.51119e-05 9.73882e-05 0.000201454 8.96547e-05 4.30259e-05 1.77492e-05 0.000180661 6.14563e-05 +threshold=3.3135000000004315 3.8200000000006189 2.5710000000001405 2.0405000000000659 0.83591669079532605 1.6630384615384806 0.57111958684799491 0.79362501634300286 1.1000000000001366 0.97149999999976455 1.0390000000003285 0.80403323927379911 0.0094999999992069224 1.7099999999995819 1.6835000000005496 +decision_type=2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 +left_child=1 2 3 5 -5 7 -7 12 9 -9 -10 -8 13 -1 -14 +right_child=-2 -3 -4 4 -6 6 11 8 10 -11 -12 -13 14 -15 -16 +leaf_value=0 -0.0015033516070866208 0.00039676882455674768 -0.00044331847826237626 0 -0.00022010083404617965 0 0 0 5.6068909132829212e-05 -8.5852375126031967e-05 -8.2918129955683538e-06 0.00014947882703419144 0 4.8808775133546119e-05 -2.3140172107706696e-05 +leaf_weight=113421 36 31 26 55 38 63 41 390 68 136 200 45 5385 193 373 +leaf_count=113421 36 31 26 55 38 63 41 390 68 136 200 45 5385 193 373 +internal_value=0 -1.29046e-07 -2.93502e-07 -1.3553e-07 -6.30586e-05 -2.45493e-08 4.86377e-05 -1.47308e-07 -1.75299e-05 -3.05575e-05 0 0.00010209 0 1.06421e-07 -2.75677e-06 +internal_weight=0 120465 120434 120408 93 120315 149 120166 794 526 268 86 119372 113614 5758 +internal_count=120501 120465 120434 120408 93 120315 149 120166 794 526 268 86 119372 113614 5758 +is_linear=0 +shrinkage=0.050378 + + +end of trees + +feature_importances: +exact_1=3521 +max_1=1048 +std_1=777 +min_1=645 +mean_1=609 +max_3=599 +std_3=481 +max_48=467 +max_12=460 +median_6=437 +mean_6=427 +mean_3=420 +max_6=415 +max_24=404 +min_3=376 +std_24=365 +std_6=356 +exact_3=345 +min_6=326 +median_3=321 +mean_12=300 +std_12=288 +std_48=282 +median_12=268 +median_96=244 +median_24=235 +min_12=233 +median_192=222 +max_96=192 +mean_24=175 +day=174 +mean_48=174 +day_sin=171 +std_192=165 +median_48=164 +day_cos=148 +min_24=145 +std_96=133 +hour_cos=125 +hour_sin=123 +min_48=120 +mean_96=118 +min_192=112 +hour=109 +max_192=105 +min_96=78 +mean_192=74 +day_of_week=72 +day_of_week_sin=61 +day_of_week_cos=59 +median_1=58 +month=45 +exact_6=23 +part_of_day=20 +month_sin=18 +month_cos=16 +exact_12=7 +is_working_hours=2 +season=1 +season_cos=1 + +parameters: +[boosting: gbdt] +[objective: regression] +[metric: l2] +[tree_learner: serial] +[device_type: cpu] +[data_sample_strategy: bagging] +[data: ] +[valid: ] +[num_iterations: 1000] +[learning_rate: 0.050378] +[num_leaves: 27] +[num_threads: 0] +[seed: 0] +[deterministic: 0] +[force_col_wise: 0] +[force_row_wise: 0] +[histogram_pool_size: -1] +[max_depth: 8] +[min_data_in_leaf: 20] +[min_sum_hessian_in_leaf: 9.36782] +[bagging_fraction: 0.626011] +[pos_bagging_fraction: 1] +[neg_bagging_fraction: 1] +[bagging_freq: 1] +[bagging_seed: 3] +[feature_fraction: 0.911825] +[feature_fraction_bynode: 1] +[feature_fraction_seed: 2] +[extra_trees: 0] +[extra_seed: 6] +[early_stopping_round: 0] +[first_metric_only: 0] +[max_delta_step: 0] +[lambda_l1: 0.148885] +[lambda_l2: 0.0044286] +[linear_lambda: 0] +[min_gain_to_split: 0] +[drop_rate: 0.1] +[max_drop: 50] +[skip_drop: 0.5] +[xgboost_dart_mode: 0] +[uniform_drop: 0] +[drop_seed: 4] +[top_rate: 0.2] +[other_rate: 0.1] +[min_data_per_group: 100] +[max_cat_threshold: 32] +[cat_l2: 10] +[cat_smooth: 10] +[max_cat_to_onehot: 4] +[top_k: 20] +[monotone_constraints: ] +[monotone_constraints_method: basic] +[monotone_penalty: 0] +[feature_contri: ] +[forcedsplits_filename: ] +[refit_decay_rate: 0.9] +[cegb_tradeoff: 1] +[cegb_penalty_split: 0] +[cegb_penalty_feature_lazy: ] +[cegb_penalty_feature_coupled: ] +[path_smooth: 0] +[interaction_constraints: ] +[verbosity: -1] +[saved_feature_importance_type: 0] +[use_quantized_grad: 0] +[num_grad_quant_bins: 4] +[quant_train_renew_leaf: 0] +[stochastic_rounding: 1] +[linear_tree: 0] +[max_bin: 255] +[max_bin_by_feature: ] +[min_data_in_bin: 3] +[bin_construct_sample_cnt: 200000] +[data_random_seed: 1] +[is_enable_sparse: 1] +[enable_bundle: 1] +[use_missing: 1] +[zero_as_missing: 0] +[feature_pre_filter: 1] +[pre_partition: 0] +[two_round: 0] +[header: 0] +[label_column: ] +[weight_column: ] +[group_column: ] +[ignore_column: ] +[categorical_feature: ] +[forcedbins_filename: ] +[precise_float_parser: 0] +[parser_config_file: ] +[objective_seed: 5] +[num_class: 1] +[is_unbalance: 0] +[scale_pos_weight: 1] +[sigmoid: 1] +[boost_from_average: 1] +[reg_sqrt: 0] +[alpha: 0.9] +[fair_c: 1] +[poisson_max_delta_step: 0.7] +[tweedie_variance_power: 1.5] +[lambdarank_truncation_level: 30] +[lambdarank_norm: 1] +[label_gain: ] +[lambdarank_position_bias_regularization: 0] +[eval_at: ] +[multi_error_top_k: 1] +[auc_mu_weights: ] +[num_machines: 1] +[local_listen_port: 12400] +[time_out: 120] +[machine_list_filename: ] +[machines: ] +[gpu_platform_id: -1] +[gpu_device_id: -1] +[gpu_use_dp: 0] +[num_gpu: 1] + +end of parameters + +pandas_categorical:[]