diff --git "a/m5_trust_ranker_v1/lambdamart_temperature_2m.txt" "b/m5_trust_ranker_v1/lambdamart_temperature_2m.txt"
new file mode 100644--- /dev/null
+++ "b/m5_trust_ranker_v1/lambdamart_temperature_2m.txt"
@@ -0,0 +1,6182 @@
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+internal_weight=0 231.504 228.506 62.6126 28.0525 165.894 6.13162 34.56 29.8508 159.762 189732 579.429 104.686 95.6831 474.743 230.872 211.09 72.8095 44.935 138.281 128.433 72.3216 56.1111 38.9664 243.87 67.5731 211.273 30.674 61.8928 30.3973 44.6029 27.8745 17.1447 9.27535 189152 7173.82 3159.17 2953.69 756.605 2197.09 367.127 345.227 112.885 4014.65 1490.27 232.342 99.9508 389.478 321.749 2524.38 1931.89 1671.99 1265.57 1152.75 1108.03 406.423 872.698 396.015 235.335 113.021 122.314 381.568
+internal_count=1358449 12616 12436 1433 578 11003 281 855 717 10722 1345833 5708 1428 1381 4280 2928 2544 814 443 1730 1509 728 781 468 1352 832 1188 424 618 318 624 371 313 243 1340125 122077 37056 31932 8587 23345 4510 4192 1592 85021 34056 2600 1118 4077 3462 50965 17451 13224 10650 9895 9583 2574 7331 2843 2252 1243 1009 2764
+is_linear=0
+shrinkage=0.06
+
+
+end of trees
+
+feature_importances:
+sin_doy=2303
+forecast=2226
+deviation_from_mmm=1962
+cos_doy=1901
+lead_hours=1890
+elevation_km=1889
+lat=1882
+lon=1747
+hist_mae_loc=1281
+ensemble_sd=829
+hist_mae_loc_lead=622
+ensemble_range=500
+is_monsoon=119
+is_ecmwf_ifs025=104
+authority_prior=86
+is_gfs_seamless=85
+hist_mae_global=80
+is_icon_seamless=79
+is_gem_seamless=53
+lead_age_days=16
+
+parameters:
+[boosting: gbdt]
+[objective: lambdarank]
+[metric: ndcg]
+[tree_learner: serial]
+[device_type: cpu]
+[data_sample_strategy: bagging]
+[data: ]
+[valid: ]
+[num_iterations: 400]
+[learning_rate: 0.06]
+[num_leaves: 63]
+[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: 100]
+[min_sum_hessian_in_leaf: 0.001]
+[bagging_fraction: 0.85]
+[pos_bagging_fraction: 1]
+[neg_bagging_fraction: 1]
+[bagging_freq: 1]
+[bagging_seed: 400]
+[feature_fraction: 0.9]
+[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: 4]
+[lambdarank_norm: 1]
+[label_gain: 0,1,2,3,4]
+[lambdarank_position_bias_regularization: 0]
+[eval_at: 1,2,3]
+[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