diff --git "a/model_q10.txt" "b/model_q10.txt"
new file mode 100644--- /dev/null
+++ "b/model_q10.txt"
@@ -0,0 +1,3596 @@
+tree
+version=v4
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+threshold=14465.622387771522 359.07464763700705 13065.117486749443 90.899998896631033 13082.180000000002 20.500000000000004 15128.277377770673 14445.450000000003 242.64144336935394 12430.790000000003 -0.60355339059327384 12520.335000000001 13581.215207013205 -0.98296291314453399 13065.400000000003 12401.780483298326 0.12940952255126045 -0.98296291314453399 -0.12940952255126037 10779.055000000002 -0.78656609248549325 2.5000000000000004 139.33128168858448 -361.36499999999972 13971.465000000002 20.500000000000004 12977.075000000003 195.32209646208489 -606.68500000000029 -275.96999999999929
+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
+left_child=1 2 14 12 -5 -2 8 10 -7 -6 -3 -11 13 -4 15 -1 -17 21 20 22 -19 -13 -20 25 26 27 -25 -24 -26 -29
+right_child=5 7 3 4 9 6 -8 -9 -10 11 -12 17 -14 -15 -16 16 -18 18 19 -21 -22 -23 23 24 28 -27 -28 29 -30 -31
+leaf_value=-0.010886343351442567 12.353415879043691 -1.1972901934805822 -0.35931958368313671 5.3228647814810452 0.82127635661668519 0.94315172731410191 6.7259485806166088 -9.0872331455043689 -0.91793701891756163 -1.559944696036847 7.8456339736904317 -1.9355262879558093 2.8291667602267414 0.86272996299797866 -0.3211158231407984 0.10797408169813152 1.2710536149291125 -0.17424361799030902 0.22334479407712934 0.065313973484428051 7.789489304690643 0.13123825453643395 -0.52109103529958833 -0.53309091511551954 -2.7667263657548955 -0.080833685526138621 -1.8825021477230084 -1.3171985623274325 0.71597315720280597 -3.2740076400824512
+leaf_weight=35270 14807 237 542 2010 824 324 853 33 616 685 3278 134 4213 4769 1527 6019 2648 641 542 1965 849 100 64 132 23 812 308 41 186 21
+leaf_count=35270 14807 237 542 2010 824 324 853 33 616 685 3278 134 4213 4769 1527 6019 2648 641 542 1965 849 100 64 132 23 812 308 41 186 21
+internal_value=0.0011456 0.000578905 0.000434979 0.00126632 0.000225769 0.00346265 0.000854434 0.00318828 -0.00191489 -0.000596697 0.00337411 -0.000970014 0.00228643 0.00154472 9.00934e-05 0.000159956 0.000977039 -0.000620144 -0.000419771 -0.00116854 0.00163758 -0.00540171 -0.00242555 -0.00333459 -0.00555316 -0.00179957 -0.00809091 -0.00901587 -0.000210526 -0.016
+internal_weight=84473 67873 64325 18861 9337 16600 1793 3548 940 7327 3515 6503 9524 5311 45464 43937 8667 5818 5584 4094 1490 234 2129 1587 649 938 440 126 209 62
+internal_count=84473 67873 64325 18861 9337 16600 1793 3548 940 7327 3515 6503 9524 5311 45464 43937 8667 5818 5584 4094 1490 234 2129 1587 649 938 440 126 209 62
+is_linear=0
+shrinkage=0.04
+
+
+Tree=179
+num_leaves=31
+num_cat=0
+split_feature=28 23 28 30 27 30 30 24 28 30 0 10 30 28 2 23 21 27 22 13 28 0 9 14 10 25 1 22 27 20
+split_gain=68.8366 19.6111 11.3179 23.7877 11.491 7.51884 7.05248 5.53698 4.14998 4.36132 3.98509 3.57969 4.17086 4.72669 3.45911 3.35844 3.01483 2.96688 2.95789 2.79731 2.7565 3.26312 2.94869 3.32157 2.87821 4.15153 2.70311 3.61959 2.51357 2.48889
+threshold=15080.112056264386 907.04000000000099 13386.718398631245 137.78785945235686 -2.924999999999272 333.20602038896783 333.20602038896783 318.49500000000086 13943.023887126705 71.924623658758009 17.500000000000004 0.78656609248549303 240.53695087057395 14357.051493374422 1.5000000000000002 103.52499999999965 12926.530000000002 -411.50999999999834 14129.720000000001 0.99374995976406788 10811.876089158714 21.500000000000004 -0.98296291314453399 -0.96234030595689413 -0.98296291314453399 967.4900000000008 2.5000000000000004 16030.840000000002 12.299999999998365 10905.105000000001
+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
+left_child=1 2 5 8 6 14 11 -8 9 -4 -6 12 13 17 20 -7 -13 26 -14 -20 -1 22 23 -22 25 -24 27 -5 -27 -30
+right_child=-2 -3 3 4 10 15 7 -9 -10 -11 -12 16 18 -15 -16 -17 -18 -19 19 -21 21 -23 24 -25 -26 28 -28 -29 29 -31
+leaf_value=-0.080480457902601082 20.973074107405463 5.7923194665443996 1.601507300995906 -1.9133375168487705 4.963945823076231 -0.59795999952033962 -1.4625303905633842 -9.936320127710097 4.352214713379114 0.16921798119284034 -0.0091755305349074147 0.60603496962269265 -0.56999162602482412 0.50481702750377477 -0.013923893116867781 3.9392955471652771 -0.20328534141816382 -0.14449542680754537 -1.6822296947218194 0.19064664241654342 -2.8217250058558343 -0.13931333955741163 0.52957605531484242 -0.25371589627505076 0.6032643132061225 -0.66493379296538513 -0.051395139473743454 -3.8818040474133593 -3.0993966683914618 -0.75132657033881789
+leaf_weight=3078 11952 4083 3224 322 1388 248 191 40 4521 1685 975 439 397 739 38104 1653 1179 419 257 34 28 1138 230 210 7637 66 129 27 35 45
+leaf_count=3078 11952 4083 3224 322 1388 248 191 40 4521 1685 975 439 397 739 38104 1653 1179 419 257 34 28 1138 230 210 7637 66 129 27 35 45
+internal_value=0.00113376 0.000670206 0.000509542 0.00144206 -0.000412485 0.000225797 -0.00167457 -0.00846753 0.00272747 0.00192218 0.00181634 -0.00127651 -0.00228227 -0.00118337 0.000132962 0.00269542 0.000168109 -0.00313489 -0.00489535 -0.00795876 0.000711318 0.00105187 0.00132881 -0.00305882 0.00145913 -0.00195745 -0.0052887 -0.00711748 -0.00723288 -0.012
+internal_weight=84473 72521 68438 15966 6536 52472 4173 231 9430 4909 2363 3942 2324 1636 50571 1901 1618 897 688 291 12467 9389 8251 238 8013 376 478 349 146 80
+internal_count=84473 72521 68438 15966 6536 52472 4173 231 9430 4909 2363 3942 2324 1636 50571 1901 1618 897 688 291 12467 9389 8251 238 8013 376 478 349 146 80
+is_linear=0
+shrinkage=0.04
+
+
+end of trees
+
+feature_importances:
+ema_4step=940
+rolling_std_4step=881
+diff_1h=409
+cos_hour=333
+sin_hour=242
+hour=206
+rolling_min_24h=200
+acceleration_1h=194
+day_of_week=191
+lag_1h=184
+lag_2h=168
+cos_day_of_year=128
+lag_24h=126
+sin_day_of_year=123
+diff_2h=114
+lag_7d=109
+quarter=81
+day_of_year=74
+ema_12step=73
+lag_48h=72
+rolling_mean_24h=66
+lag_4h=64
+rolling_max_24h=63
+rolling_mean_7d=60
+lag_3h=50
+lag_14d=50
+rolling_std_24h=50
+is_evening_peak=44
+rolling_std_7d=39
+diff_24h=25
+is_morning_peak=16
+diff_7d=10
+cos_day_of_week=6
+month=5
+sin_day_of_week=4
+
+parameters:
+[boosting: gbdt]
+[objective: quantile]
+[metric: quantile]
+[tree_learner: serial]
+[device_type: cpu]
+[data_sample_strategy: bagging]
+[data: ]
+[valid: ]
+[num_iterations: 180]
+[learning_rate: 0.04]
+[num_leaves: 31]
+[num_threads: 16]
+[seed: 42]
+[deterministic: 0]
+[force_col_wise: 0]
+[force_row_wise: 0]
+[histogram_pool_size: -1]
+[max_depth: -1]
+[min_data_in_leaf: 20]
+[min_sum_hessian_in_leaf: 0.001]
+[bagging_fraction: 1]
+[pos_bagging_fraction: 1]
+[neg_bagging_fraction: 1]
+[bagging_freq: 0]
+[bagging_seed: 400]
+[bagging_by_query: 0]
+[feature_fraction: 1]
+[feature_fraction_bynode: 1]
+[feature_fraction_seed: 30056]
+[extra_trees: 0]
+[extra_seed: 12879]
+[early_stopping_round: 0]
+[early_stopping_min_delta: 0]
+[first_metric_only: 0]
+[max_delta_step: 0]
+[lambda_l1: 0]
+[lambda_l2: 0]
+[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: 17869]
+[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: 175]
+[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: 16083]
+[num_class: 1]
+[is_unbalance: 0]
+[scale_pos_weight: 1]
+[sigmoid: 1]
+[boost_from_average: 1]
+[reg_sqrt: 0]
+[alpha: 0.1]
+[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_device_id_list: ]
+[gpu_use_dp: 0]
+[num_gpu: 1]
+
+end of parameters
+
+pandas_categorical:[]