Mercurial > repos > bgruening > sklearn_stacking_ensemble_models

comparison test-data/lgb_class_model.txt @ 8:253b3aaf0d91 draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 756f8be9c3cd437e131e6410cd625c24fe078e8c"
author bgruening
date Wed, 22 Jan 2020 08:10:47 -0500
parents
children
comparison
equal deleted inserted replaced
7:a2e4a45c6083 8:253b3aaf0d91
1 tree
2 version=v3
3 num_class=1
4 num_tree_per_iteration=1
5 label_index=0
6 max_feature_idx=3
7 objective=binary sigmoid:1
8 feature_names=Column_0 Column_1 Column_2 Column_3
9 feature_infos=none none none none
10 tree_sizes=228
11
12 Tree=0
13 num_leaves=1
14 num_cat=0
15 split_feature=
16 split_gain=
17 threshold=
18 decision_type=
19 left_child=
20 right_child=
21 leaf_value=-0.40546510810816427
22 leaf_weight=
23 leaf_count=
24 internal_value=
25 internal_weight=
26 internal_count=
27 shrinkage=1
28
29
30 end of trees
31
32 feature importances:
33
34 parameters:
35 [boosting: gbdt]
36 [objective: binary]
37 [metric: binary_logloss]
38 [tree_learner: serial]
39 [device_type: cpu]
40 [data: ]
41 [valid: ]
42 [num_iterations: 100]
43 [learning_rate: 0.02]
44 [num_leaves: 32]
45 [num_threads: 0]
46 [max_depth: 8]
47 [min_data_in_leaf: 20]
48 [min_sum_hessian_in_leaf: 39]
49 [bagging_fraction: 0.9]
50 [pos_bagging_fraction: 1]
51 [neg_bagging_fraction: 1]
52 [bagging_freq: 0]
53 [bagging_seed: 18467]
54 [feature_fraction: 0.9]
55 [feature_fraction_bynode: 1]
56 [feature_fraction_seed: 26500]
57 [early_stopping_round: 0]
58 [first_metric_only: 0]
59 [max_delta_step: 0]
60 [lambda_l1: 0.04]
61 [lambda_l2: 0.07]
62 [min_gain_to_split: 0.02]
63 [drop_rate: 0.1]
64 [max_drop: 50]
65 [skip_drop: 0.5]
66 [xgboost_dart_mode: 0]
67 [uniform_drop: 0]
68 [drop_seed: 6334]
69 [top_rate: 0.2]
70 [other_rate: 0.1]
71 [min_data_per_group: 100]
72 [max_cat_threshold: 32]
73 [cat_l2: 10]
74 [cat_smooth: 10]
75 [max_cat_to_onehot: 4]
76 [top_k: 20]
77 [monotone_constraints: ]
78 [feature_contri: ]
79 [forcedsplits_filename: ]
80 [forcedbins_filename: ]
81 [refit_decay_rate: 0.9]
82 [cegb_tradeoff: 1]
83 [cegb_penalty_split: 0]
84 [cegb_penalty_feature_lazy: ]
85 [cegb_penalty_feature_coupled: ]
86 [verbosity: -1]
87 [max_bin: 255]
88 [max_bin_by_feature: ]
89 [min_data_in_bin: 3]
90 [bin_construct_sample_cnt: 200000]
91 [histogram_pool_size: -1]
92 [data_random_seed: 41]
93 [output_model: LightGBM_model.txt]
94 [snapshot_freq: -1]
95 [input_model: ]
96 [output_result: LightGBM_predict_result.txt]
97 [initscore_filename: ]
98 [valid_data_initscores: ]
99 [pre_partition: 0]
100 [enable_bundle: 1]
101 [max_conflict_rate: 0]
102 [is_enable_sparse: 1]
103 [sparse_threshold: 0.8]
104 [use_missing: 1]
105 [zero_as_missing: 0]
106 [two_round: 0]
107 [save_binary: 0]
108 [header: 0]
109 [label_column: ]
110 [weight_column: ]
111 [group_column: ]
112 [ignore_column: ]
113 [categorical_feature: ]
114 [predict_raw_score: 0]
115 [predict_leaf_index: 0]
116 [predict_contrib: 0]
117 [num_iteration_predict: -1]
118 [pred_early_stop: 0]
119 [pred_early_stop_freq: 10]
120 [pred_early_stop_margin: 10]
121 [convert_model_language: ]
122 [convert_model: gbdt_prediction.cpp]
123 [num_class: 1]
124 [is_unbalance: 0]
125 [scale_pos_weight: 1]
126 [sigmoid: 1]
127 [boost_from_average: 1]
128 [reg_sqrt: 0]
129 [alpha: 0.9]
130 [fair_c: 1]
131 [poisson_max_delta_step: 0.7]
132 [tweedie_variance_power: 1.5]
133 [max_position: 20]
134 [lambdamart_norm: 1]
135 [label_gain: ]
136 [metric_freq: 1]
137 [is_provide_training_metric: 0]
138 [eval_at: ]
139 [multi_error_top_k: 1]
140 [num_machines: 1]
141 [local_listen_port: 12400]
142 [time_out: 120]
143 [machine_list_filename: ]
144 [machines: ]
145 [gpu_platform_id: -1]
146 [gpu_device_id: -1]
147 [gpu_use_dp: 0]
148
149 end of parameters
150
151 pandas_categorical:null