diff --git "a/models/model_dishwasher.txt" "b/models/model_dishwasher.txt" new file mode 100644--- /dev/null +++ "b/models/model_dishwasher.txt" @@ -0,0 +1,19202 @@ +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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0.85799999999996157 0.61950000000000227 0.0020000000000015565 0.089959999999998111 0.49549999999999278 0.19200000000003573 0.6830127018922193 0.52828508881293679 0.71600000000000419 0.45949999999999142 0.43301270189221946 -0.050649168838713086 0.52300000000001046 0.15549999999997513 0.076000000000000248 -0.68543205262022666 0.21847039558972953 0.24287499999999798 0.39099999999998408 0.93199999999999517 0.4029999999999952 1.0000000180025095e-35 0.0029999999999574816 0.093880000000000352 0.16871428571428435 0.77049999999999141 0.38950000000000534 +decision_type=2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 +left_child=1 3 -3 18 5 13 7 8 34 -10 15 12 -9 33 16 -7 -12 -16 29 20 23 -22 -23 28 -25 26 -21 -28 -20 35 -31 -32 -33 -5 -6 -1 +right_child=-2 2 -4 4 6 10 -8 11 9 -11 14 -13 -14 -15 17 -17 -18 -19 19 25 21 22 -24 24 -26 -27 27 -29 -30 30 31 32 -34 -35 -36 -37 +leaf_value=0 3.646089324860109e-05 -3.0504960142702735e-05 0 -1.517056908837975e-05 5.0774910789126032e-07 5.5534056882800794e-06 1.1846675140471854e-05 0 7.2576511277879518e-06 9.9919522029757535e-08 5.635304855348435e-06 0 -1.0756447418941978e-05 0 0 0 0 -9.0924311617505697e-06 0 0 0 -6.1904864324276417e-07 -1.6353267665451914e-05 -6.1829944717305082e-06 0 -1.5598540069483945e-06 0 1.0794777756213076e-05 1.124844071645263e-05 1.9071503748800598e-05 -8.6175738225288802e-06 2.746185104751407e-06 -2.5852439349820375e-06 0 -3.9950162137106794e-06 -1.8935901573922867e-06 +leaf_weight=136709 30 21 32 31 367 93 36 40 150 218 29 60 33 20 20 20 21 28 25 42 88 76 53 67 73 28 41 60 21 28 33 277 82 25 40 169 +leaf_count=136709 30 21 32 31 367 93 36 40 150 218 29 60 33 20 20 20 21 28 25 42 88 76 53 67 73 28 41 60 21 28 33 277 82 25 40 169 +internal_value=0 -1.39125e-09 -1.33338e-05 2.53748e-09 8.33341e-07 -1.00614e-06 1.60887e-06 9.38945e-07 1.73848e-06 3.6034e-06 7.6482e-07 -2.15734e-06 -5.61443e-06 -8.31959e-06 -9.86923e-07 4.01907e-06 0 -5.61691e-06 -3.42444e-09 -1.25985e-06 -3.22227e-06 -6.08284e-06 -8.86462e-06 0 -1.76091e-06 2.17144e-06 4.31142e-06 6.55539e-06 5.74514e-06 3.76382e-10 1.48703e-06 0 9.54596e-07 -1.08799e-05 0 -2.73436e-09 +internal_weight=0 139156 53 139103 1231 287 944 908 775 368 211 133 73 76 98 113 50 48 137872 574 403 217 129 186 140 171 143 101 46 137298 420 392 359 56 407 136878 +internal_count=139186 139156 53 139103 1231 287 944 908 775 368 211 133 73 76 98 113 50 48 137872 574 403 217 129 186 140 171 143 101 46 137298 420 392 359 56 407 136878 +is_linear=0 +shrinkage=0.0218722 + + +end of trees + +feature_importances: +exact_1=8343 +min_1=1646 +max_1=1263 +exact_3=1053 +max_6=901 +max_192=820 +mean_1=784 +std_1=782 +max_48=776 +max_3=753 +median_3=691 +max_96=667 +max_12=643 +std_48=606 +mean_192=600 +mean_48=588 +std_192=566 +mean_96=550 +mean_12=512 +mean_24=508 +max_24=490 +std_24=489 +mean_3=481 +day_sin=456 +mean_6=438 +hour_sin=429 +std_96=428 +day=403 +median_6=400 +day_cos=388 +std_12=362 +hour=291 +day_of_week=282 +hour_cos=281 +min_3=273 +std_6=262 +std_3=253 +month=239 +month_cos=205 +month_sin=179 +day_of_week_sin=170 +median_12=116 +day_of_week_cos=107 +median_1=99 +min_6=93 +median_24=90 +season=78 +median_48=77 +median_96=77 +exact_6=73 +median_192=53 +season_sin=42 +min_12=37 +exact_12=34 +is_working_hours=28 +part_of_day=26 +min_24=25 +min_96=23 +min_192=22 +min_48=21 +season_cos=10 +exact_24=5 +type=4 +is_weekend=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: 0.0218722] +[num_leaves: 37] +[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: 4.86953] +[bagging_fraction: 0.722027] +[pos_bagging_fraction: 1] +[neg_bagging_fraction: 1] +[bagging_freq: 4] +[bagging_seed: 3] +[feature_fraction: 0.890856] +[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: 0.00930064] +[lambda_l2: 3.24875] +[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:[]