diff --git "a/models/model_cooling_aggregate.txt" "b/models/model_cooling_aggregate.txt"
new file mode 100644--- /dev/null
+++ "b/models/model_cooling_aggregate.txt"
@@ -0,0 +1,19202 @@
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+split_gain=0.0598248 0.00832662 0.00694125 0.00556502 0.00798475 0.0219722 0.014315 0.0018722 0.00193695
+threshold=32.382999999997089 31.984000000000382 31.847749999999909 6.2426922177077406 24.790999999999524 12.750588032454949 -0.25033082153100961 4.7347870068276334 1.6525085476326324
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+internal_value=0 5.67827e-07 8.49398e-07 5.85545e-07 0.000411592 0.00131137 0.000135836 -2.13732e-07 -4.20485e-08
+internal_weight=0 132973 132953 132932 260 60 200 132672 132640
+internal_count=132993 132973 132953 132932 260 60 200 132672 132640
+is_linear=0
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+
+
+Tree=994
+num_leaves=16
+num_cat=0
+split_feature=29 21 31 57 62 55 56 9 41 18 19 59 51 21 39
+split_gain=0.0575825 0.00461904 0.00760906 0.015962 0.0108336 0.0135905 0.0101393 0.00846054 0.00393928 0.00782561 0.00412206 0.00343687 0.00195863 0.00902716 0.00393056
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+right_child=-2 2 3 6 5 7 -8 -9 9 -11 -12 -13 13 -15 -16
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+internal_value=0 4.48047e-07 0.000374897 0.00114443 6.85129e-05 0.000308409 0.000228001 -1.53845e-05 -2.79302e-07 -0.000686195 5.62977e-08 0 -1.35246e-07 0.000184483 -7.75273e-07
+internal_weight=0 132972 260 73 187 167 50 143 132712 66 132646 44 132625 453 132172
+internal_count=132993 132972 260 73 187 167 50 143 132712 66 132646 44 132625 453 132172
+is_linear=0
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+
+
+Tree=995
+num_leaves=11
+num_cat=0
+split_feature=41 23 19 37 33 59 34 37 47 34
+split_gain=0.04792 0.00887761 0.00524985 0.00157818 0.00715958 0.0101507 0.00296722 0.00262581 0.00622152 0.00373075
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+right_child=-2 -3 -4 4 5 -7 -8 8 -10 -11
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+internal_value=0 4.24845e-07 7.15359e-07 4.84994e-07 0.000127548 0.000683112 -3.59059e-06 -2.47616e-07 -0.000255496 3.61523e-07
+internal_weight=0 132973 132953 132932 769 148 621 132163 318 131845
+internal_count=132993 132973 132953 132932 769 148 621 132163 318 131845
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+
+Tree=996
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+split_gain=0.0838181 0.00526005 0.0269917 0.00946265 0.0088184 0.00719233 0.00701318 0.0062396 0.00353417 0.00582178 0.00182549 0.00303589 0.000801671
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+internal_value=0 -6.21446e-07 -0.000355245 -0.000673389 -0.000509282 -0.000273708 -0.00167427 0.00168443 2.56464e-07 4.60153e-07 2.22422e-07 4.183e-07 -0.000577737
+internal_weight=0 132681 330 286 261 218 43 44 132351 132327 132307 132264 43
+internal_count=132701 132681 330 286 261 218 43 44 132351 132327 132307 132264 43
+is_linear=0
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+
+
+Tree=997
+num_leaves=15
+num_cat=0
+split_feature=35 41 27 49 5 19 19 32 27 37 41 45 35 22
+split_gain=0.0697276 0.00330408 0.00300953 0.0144129 0.0181673 0.0128082 0.0146358 0.0107877 0.00203414 0.0131773 0.0207018 0.0026818 0.00595264 0.00322197
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+left_child=1 2 8 5 -5 -4 -7 -6 11 -10 -11 13 -13 -1
+right_child=-2 -3 3 4 7 6 -8 -9 9 10 -12 12 -14 -15
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+internal_count=132701 132681 132655 831 725 106 76 700 131824 751 727 131073 61 131012
+is_linear=0
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+
+
+Tree=998
+num_leaves=19
+num_cat=0
+split_feature=20 21 49 39 10 43 6 21 3 18 55 43 49 18 21 61 57 26
+split_gain=0.0583523 0.00454587 0.0186087 0.0116981 0.00956512 0.00777342 0.00585365 0.00247286 0.0141965 0.0366737 0.00534344 0.00502181 0.00396031 0.00431226 0.00227801 0.00468455 0.00206254 0.00196369
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+decision_type=2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
+left_child=1 7 6 -4 5 -5 -3 11 -9 -10 -11 12 13 -1 17 -16 -14 -13
+right_child=-2 2 3 4 -6 -7 -8 8 9 10 -12 14 16 -15 15 -17 -18 -19
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+leaf_weight=131132 21 24 24 38 23 202 20 36 27 36 365 26 223 156 174 35 22 117
+leaf_count=131132 21 24 24 38 23 202 20 36 27 36 365 26 223 156 174 35 22 117
+internal_value=0 -5.37491e-07 -0.00032971 -0.000593323 -0.000416344 -0.000585367 0.00136295 2.79414e-07 0.000205254 0.000349968 0.000132934 -4.3514e-07 4.56265e-07 -2.03943e-07 -0.00033591 -0.000523506 0.00035764 -5.4909e-05
+internal_weight=0 132680 331 287 263 240 44 132349 464 428 401 131885 131533 131288 352 209 245 143
+internal_count=132701 132680 331 287 263 240 44 132349 464 428 401 131885 131533 131288 352 209 245 143
+is_linear=0
+shrinkage=0.0889661
+
+
+Tree=999
+num_leaves=16
+num_cat=0
+split_feature=23 21 63 33 33 52 29 56 63 22 29 25 62 62 37
+split_gain=0.0498327 0.00382095 0.015021 0.0176751 0.0109074 0.0174076 0.00534621 0.00622146 0.00616144 0.00262075 0.00356033 0.0023136 0.0020883 0.00264083 0.000812196
+threshold=31.968999999998235 2.2811264761080432 6.8994370067994693 9.345859220701632 6.3968775065832624 0.15599999999722061 28.093999999998235 29.593999999999145 13.215634903734495 31.773499999999334 31.891000000001444 31.538999999999763 30.944999999999713 30.585499999997413 27.646000000000083
+decision_type=2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
+left_child=1 9 3 -3 5 -4 8 -8 -6 10 12 -12 13 -1 -14
+right_child=-2 2 4 -5 6 -7 7 -9 -10 -11 11 -13 14 -15 -16
+leaf_value=2.4024740053826365e-07 0.0040337729200890411 0.0027839774688037055 2.2594693346556087e-05 -0.00072146467922605138 -0.00011291602948789725 -0.0027451378882946244 0.00063581033570873024 -0.0011055706515675167 -0.001383327499873397 0.00088927324423049281 -0.00012008363227103683 -0.0014742370550453424 -0.0010470783652403114 0.00059439637382394691 -0.00018746155931432
+leaf_weight=132162 24 25 32 20 83 39 78 20 49 26 22 21 20 59 21
+leaf_count=132162 24 25 32 20 83 39 78 20 49 26 22 21 20 59 21
+internal_value=0 -5.43872e-07 -0.000295704 0.00121012 -0.000524654 -0.00148892 -0.000221769 0.000269264 -0.000593092 2.21466e-07 3.82143e-08 -0.000807122 3.09025e-07 5.13386e-07 -0.000632671
+internal_weight=0 132677 346 45 301 71 230 98 132 132331 132305 43 132262 132221 41
+internal_count=132701 132677 346 45 301 71 230 98 132 132331 132305 43 132262 132221 41
+is_linear=0
+shrinkage=0.0889661
+
+
+end of trees
+
+feature_importances:
+std_1=1382
+exact_1=1051
+std_12=430
+max_12=424
+max_3=409
+max_1=405
+std_3=403
+max_6=393
+max_24=365
+mean_3=332
+mean_1=326
+exact_3=287
+max_48=276
+min_1=273
+median_3=230
+median_192=208
+min_3=194
+mean_6=192
+std_24=192
+std_48=179
+median_6=157
+std_6=157
+min_6=157
+min_12=157
+median_24=153
+mean_12=152
+median_12=144
+std_96=140
+mean_192=134
+median_1=117
+median_96=117
+mean_24=109
+mean_96=104
+median_48=99
+day_sin=98
+mean_48=95
+std_192=89
+max_192=85
+hour_sin=78
+max_96=71
+day=70
+day_cos=69
+hour=68
+min_48=62
+exact_6=59
+min_24=58
+hour_cos=50
+day_of_week_cos=44
+month_cos=37
+day_of_week=34
+month=29
+min_96=26
+exact_12=23
+day_of_week_sin=21
+month_sin=13
+min_192=13
+season_sin=10
+season_cos=6
+part_of_day=6
+season=4
+exact_24=4
+is_working_hours=1
+is_weekend=1
+exact_96=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: 0.0889661]
+[num_leaves: 56]
+[num_threads: 0]
+[seed: 0]
+[deterministic: 0]
+[force_col_wise: 0]
+[force_row_wise: 0]
+[histogram_pool_size: -1]
+[max_depth: 6]
+[min_data_in_leaf: 20]
+[min_sum_hessian_in_leaf: 2.5899]
+[bagging_fraction: 0.689915]
+[pos_bagging_fraction: 1]
+[neg_bagging_fraction: 1]
+[bagging_freq: 6]
+[bagging_seed: 3]
+[feature_fraction: 0.680862]
+[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: 0.0103167]
+[lambda_l2: 0.238304]
+[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:[]