Mercurial > repos > bgruening > sklearn_searchcv
comparison test-data/lgb_class_model.txt @ 16:25ab6b4e376e draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 756f8be9c3cd437e131e6410cd625c24fe078e8c"
author | bgruening |
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date | Wed, 22 Jan 2020 08:05:12 -0500 |
parents | |
children | fc99237f3392 |
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15:c1ca24a1509d | 16:25ab6b4e376e |
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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 |