diff --git "a/m2_mos_v1/lgbm_precipitation_q10.txt" "b/m2_mos_v1/lgbm_precipitation_q10.txt"
new file mode 100644--- /dev/null
+++ "b/m2_mos_v1/lgbm_precipitation_q10.txt"
@@ -0,0 +1,6816 @@
+tree
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+leaf_weight=10716 11063 8164 12147 1593 4720 889 1823 212 4728 7209 3634 7837 15662 10830 1461 3001 1237 1839 9796 9071 2684 21414 8257 7237 1035 8201 2837 7560 698 9133 1214 2583 2222 8116 2603 3033 13089 1237 772 12907 2997 4998 5108 788 1180 4487 309 2723 1412 43146 2564 978 311314 53470 3592 784 2379 5925 595 710 3422 9234 2413 2351 772 1893 1416 6792 4256 4883 1381 773 11374 237 1556 504 5617 2371 20759 416 82494 1732 1156 6383 611 3943 47747 1867 4099 12133 14233 1983 2392 330 2530
+leaf_count=10716 11063 8164 12147 1593 4720 889 1823 212 4728 7209 3634 7837 15662 10830 1461 3001 1237 1839 9796 9071 2684 21414 8257 7237 1035 8201 2837 7560 698 9133 1214 2583 2222 8116 2603 3033 13089 1237 772 12907 2997 4998 5108 788 1180 4487 309 2723 1412 43146 2564 978 311314 53470 3592 784 2379 5925 595 710 3422 9234 2413 2351 772 1893 1416 6792 4256 4883 1381 773 11374 237 1556 504 5617 2371 20759 416 82494 1732 1156 6383 611 3943 47747 1867 4099 12133 14233 1983 2392 330 2530
+internal_value=0 -0.0264022 -0.0677464 -0.0141691 -0.0400426 -0.0689128 -0.0202224 -0.070305 -0.0611002 -0.0324413 -0.0173268 -0.015925 -0.0657457 -0.0476783 -0.0300535 -0.0488028 -0.0559902 -0.0353662 -0.0672007 -0.0682398 -0.0582898 -0.00411046 -0.00745976 -0.0446757 -0.0457187 -0.0423031 -0.0396087 -0.053728 -0.034175 -0.0629278 -0.061687 -0.0246293 -0.0208884 -0.0219442 -0.0370551 -0.0104874 -0.00824773 -0.0465298 -0.0599405 -0.0644467 -0.0589307 -0.0602504 -0.0183269 -0.0335167 -0.0110662 -0.0566493 -0.036599 -0.0277116 -0.0347331 -0.0690358 -0.0527247 -0.0448201 -0.0707841 -0.0695568 -0.0193987 -0.0472232 -0.0405918 -0.0263049 -0.0531791 -0.0430034 -0.0504032 -0.0333761 -0.0524498 -0.0441456 -0.0654004 -0.0375618 -0.0611343 -0.0158136 -0.0484792 -0.0678648 -0.0628046 -0.0487683 -0.0496227 -0.0402742 -0.0350117 -0.0534525 -0.0243341 -0.0382184 -0.0614682 -0.0278561 -0.0710696 -0.0698425 -0.0313532 -0.0231151 -0.0368828 -0.0686237 -0.0691165 -0.0423217 -0.0170589 -0.0630977 -0.00964225 -0.0423048 -0.0587507 -0.0477054 -0.0324788
+internal_weight=0 235659 724317 124238 111421 682305 77561 473961 23450 55836 63689 58797 208344 55585 47325 42012 14751 23908 158374 127396 13514 46677 25263 40834 8511 18111 14515 23901 4892 30978 13800 23417 30739 28517 22069 28058 20926 32986 8332 20632 7725 21182 7691 13872 17006 12049 2818 15726 13084 113596 7562 2390 450511 102880 20401 31749 5056 14265 3596 11262 15569 12993 3957 10552 9843 4272 49970 10384 26693 49410 6264 7476 22437 2509 1793 716 11542 4194 48554 3253 397932 86618 10390 10017 7848 52579 48636 9076 7132 27795 15413 2756 4124 2743 10694
+internal_count=959976 235659 724317 124238 111421 682305 77561 473961 23450 55836 63689 58797 208344 55585 47325 42012 14751 23908 158374 127396 13514 46677 25263 40834 8511 18111 14515 23901 4892 30978 13800 23417 30739 28517 22069 28058 20926 32986 8332 20632 7725 21182 7691 13872 17006 12049 2818 15726 13084 113596 7562 2390 450511 102880 20401 31749 5056 14265 3596 11262 15569 12993 3957 10552 9843 4272 49970 10384 26693 49410 6264 7476 22437 2509 1793 716 11542 4194 48554 3253 397932 86618 10390 10017 7848 52579 48636 9076 7132 27795 15413 2756 4124 2743 10694
+is_linear=0
+shrinkage=0.08
+
+
+end of trees
+
+feature_importances:
+Column_23=5618
+Column_15=4795
+Column_22=3818
+Column_21=3631
+Column_19=3078
+Column_24=2586
+Column_25=1736
+Column_11=1184
+Column_1=982
+Column_20=950
+Column_4=911
+Column_13=862
+Column_8=814
+Column_10=546
+Column_16=484
+Column_17=387
+Column_6=367
+Column_3=145
+Column_2=89
+Column_5=79
+Column_0=57
+Column_7=35
+Column_12=31
+Column_14=29
+Column_18=17
+Column_9=13
+Column_28=6
+
+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: 0.1]
+[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_use_dp: 0]
+[num_gpu: 1]
+
+end of parameters
+
+pandas_categorical:null