diff --git "a/Unified_Models_V1/lgbm_direction.txt" "b/Unified_Models_V1/lgbm_direction.txt"
deleted file mode 100644--- "a/Unified_Models_V1/lgbm_direction.txt"
+++ /dev/null
@@ -1,38136 +0,0 @@
-tree
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-internal_weight=123170 43481.6 29045.4 14436.1 14870.5 14175 2882.93 1983.25 11292 791.684 685.525 10500.4 9546.29 954.078 148.292 1834.96 2153.85 474.242 1829.53 1602.73 2838.01 867.659 79688.3 9466.02 1335.61 129.827 71.5745 1205.78 121.295 109.364 1970.35 70222.3 48120.3 6638.52 5652.84 2236.22 22102 6793.02 41481.8
-internal_count=582652 205983 136397 69586 69672 66725 13743 9454 52982 5027 4363 47955 43412 4543 738 8716 10058 2450 8689 7519 13527 4139 376669 45781 6597 703 385 5894 614 554 9388 330888 224641 31360 26634 11552 106247 32260 193281
-is_linear=0
-shrinkage=0.03
-
-
-end of trees
-
-feature_importances:
-4h_rsi=9585
-4h_vol_z=8831
-4h_atr_pct=8746
-4h_slope=8592
-1h_atr_pct=6578
-sim_mc_score=6088
-1h_rsi=4653
-1h_slope=4438
-15m_atr_pct=4385
-1h_vol_z=4075
-sim_titan_score=3593
-15m_rsi=3303
-15m_slope=3091
-15m_vol_z=1823
-sim_pattern_score=180
-
-parameters:
-[boosting: gbdt]
-[objective: binary]
-[metric: binary_logloss]
-[tree_learner: serial]
-[device_type: cpu]
-[data_sample_strategy: bagging]
-[data: ]
-[valid: ]
-[num_iterations: 2000]
-[learning_rate: 0.03]
-[num_leaves: 40]
-[num_threads: 2]
-[seed: 42]
-[deterministic: 0]
-[force_col_wise: 0]
-[force_row_wise: 0]
-[histogram_pool_size: -1]
-[max_depth: 7]
-[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: 0.9]
-[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:[]