diff --git "a/m2_mos_v1/lgbm_wind_speed_10m_q90.txt" "b/m2_mos_v1/lgbm_wind_speed_10m_q90.txt"
new file mode 100644--- /dev/null
+++ "b/m2_mos_v1/lgbm_wind_speed_10m_q90.txt"
@@ -0,0 +1,6815 @@
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+split_gain=0.958311 0.893884 0.695098 4.7764 2.8715 2.52601 5.62315 4.58312 4.14787 3.88375 3.72059 2.92701 2.47914 3.52635 5.74147 2.71002 2.69513 2.34207 2.31572 2.14726 3.205 2.72554 2.18113 1.98947 1.91144 1.90443 1.77108 1.60143 2.3734 2.26227 1.56962 1.74842 1.63803 1.76391 2.4081 6.09875 3.00952 1.9939 2.80125 1.99993 1.92032 1.96561 1.80932 1.71655 1.52116 1.72972 1.50977 1.46978 1.77056 1.69132 1.648 2.18689 1.4485 1.42511 1.4103 1.46826 1.3449 1.31846 2.48388 1.35053 1.30867 3.29302 4.55193 2.45614 1.51532 2.324 1.30865 1.30112 1.49078 1.72433 1.28146 1.24961 2.07274 1.45254 1.42112 1.24645 1.21854 1.27762 4.2039 3.01064 1.48805 2.46613 1.37281 1.4221 1.75269 2.27992 1.55543 2.88998 2.80095 3.65281 2.57213 3.45282 2.34753 2.20785 2.15511
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+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 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 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
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+internal_weight=0 21687 938289 130124 808165 116126 10406 3188 7218 2376 1168 2036 17212 2149 1130 605 15063 13722 4842 13998 1605 12393 10888 905 12180 2550 481 3440 439 3001 790953 30344 760609 19560 3756 1220 420 15804 2963 12841 2508 996 12627 2536 10861 4949 1019 2278 1306 1053 972 742 790 1766 778 465 525 2216 746 533 8740 2554 477 2077 1669 1328 1548 105720 6098 2577 904 2020 559 1461 419 946 99622 42838 2448 754 1694 1041 40390 19382 689 430 18693 9801 8892 6546 4985 1410 2346 1445 3798
+internal_count=959976 21687 938289 130124 808165 116126 10406 3188 7218 2376 1168 2036 17212 2149 1130 605 15063 13722 4842 13998 1605 12393 10888 905 12180 2550 481 3440 439 3001 790953 30344 760609 19560 3756 1220 420 15804 2963 12841 2508 996 12627 2536 10861 4949 1019 2278 1306 1053 972 742 790 1766 778 465 525 2216 746 533 8740 2554 477 2077 1669 1328 1548 105720 6098 2577 904 2020 559 1461 419 946 99622 42838 2448 754 1694 1041 40390 19382 689 430 18693 9801 8892 6546 4985 1410 2346 1445 3798
+is_linear=0
+shrinkage=0.08
+
+
+end of trees
+
+feature_importances:
+Column_21=4290
+Column_22=3662
+Column_24=3636
+Column_25=3416
+Column_23=3137
+Column_11=1822
+Column_15=1536
+Column_19=1498
+Column_20=1311
+Column_1=982
+Column_17=929
+Column_4=917
+Column_16=717
+Column_12=713
+Column_0=684
+Column_3=644
+Column_2=638
+Column_8=475
+Column_13=388
+Column_7=386
+Column_5=365
+Column_6=365
+Column_9=363
+Column_14=272
+Column_18=103
+Column_28=1
+
+parameters:
+[boosting: gbdt]
+[objective: quantile]
+[metric: quantile]
+[tree_learner: serial]
+[device_type: cpu]
+[data_sample_strategy: bagging]
+[data: ]
+[valid: ]
+[num_iterations: 350]
+[learning_rate: 0.08]
+[num_leaves: 96]
+[num_threads: 0]
+[seed: 42]
+[deterministic: 0]
+[force_col_wise: 0]
+[force_row_wise: 0]
+[histogram_pool_size: -1]
+[max_depth: -1]
+[min_data_in_leaf: 200]
+[min_sum_hessian_in_leaf: 0.001]
+[bagging_fraction: 0.8]
+[pos_bagging_fraction: 1]
+[neg_bagging_fraction: 1]
+[bagging_freq: 1]
+[bagging_seed: 400]
+[feature_fraction: 0.85]
+[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: 0.9]
+[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:null