tree model transform to sql
Project description
XGBoost和LightGBM模型转sql语句工具包
现在是大数据量的时代，我们开发的模型要应用在特别大的待预测集上，使用单机的python，需要预测2、3天，甚至更久，中途很有可能中断。因此需要通过分布式的方式来预测。这个工具包就是实现了将训练好的python模型，转换成sql语句。将生成的sql语句可以放到大数据环境中进行分布式执行预测，能比单机的python预测快好几个量级
思想碰撞
| 微信 | 微信公众号 |
|---|---|
 |
 |
| 干饭人 | 魔都数据干饭人 |
仓库地址：https://github.com/ZhengRyan/treemodel2sql
微信公众号文章：
环境准备
可以不用单独创建虚拟环境，因为对包的依赖没有版本要求
treemodel2sql 安装
pip install（pip安装）
pip install treemodel2sql # to install
pip install -U treemodel2sql # to upgrade
Source code install（源码安装）
python setup.py install
运行样例
###【注意：：：核验对比python模型预测出来的结果和sql语句预测出来的结果是否一致请查看教程代码】"https://github.com/ZhengRyan/treemodel2sql/tree/master/examples"路径处的tutorial_code_lightgbm_model_transform_sql.ipynb和tutorial_code_xgboost_model_transform_sql.ipynb
xgboost model transform sql
- 导入相关依赖
import xgboost as xgb
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
- 训练1个xgboost二分类模型
X, y = make_classification(n_samples=10000,
n_features=10,
n_informative=3,
n_redundant=2,
n_repeated=0,
n_classes=2,
weights=[0.7, 0.3],
flip_y=0.1,
random_state=1024)
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=1024)
###训练模型
model = xgb.XGBClassifier(n_estimators=3)
model.fit(X_train, y_train)
#xgb.to_graphviz(model)
- 使用xgboost2sql工具包将模型转换成的sql语句
from xgboost2sql import XGBoost2Sql
xgb2sql = XGBoost2Sql()
sql_str = xgb2sql.transform(model)
- 将sql语句保存
xgb2sql.save()
- 将sql语句打印出来
print(sql_str)
select key,1 / (1 + exp(-((tree_0_score + tree_1_score + tree_2_score)+(-0.0)))) as score
from (
select key,
--tree0
case when (Column_9 is null and true==true or Column_9<=-1.6632177658322267) then
case when (Column_3 is null and true==true or Column_3<=-1.5495347315228287) then
-0.8762269835062461
else
case when (Column_3 is null and true==true or Column_3<=1.3809327191663714) then
case when (Column_7 is null and true==true or Column_7<=-0.9295802204706084) then
-0.5897045622608377
else
-0.45043755217654896
end
else
-0.8259039361137315
end
end
else
case when (Column_9 is null and true==true or Column_9<=1.6094262296522934) then
case when (Column_3 is null and true==true or Column_3<=0.5872311864187175) then
case when (Column_5 is null and true==true or Column_5<=0.6614392939376948) then
case when (Column_7 is null and true==true or Column_7<=-0.7719746626173067) then
case when (Column_3 is null and true==true or Column_3<=-0.47247338144095047) then
case when (Column_8 is null and true==true or Column_8<=1.366961884973301) then
-0.4786799717862057
else
-0.7246405208927198
end
else
case when (Column_5 is null and true==true or Column_5<=0.33583497995253037) then
-0.8576174849758683
else
case when (Column_8 is null and true==true or Column_8<=0.725660478148893) then
-0.45255653873335094
else
-0.7268525857883245
end
end
end
else
case when (Column_3 is null and true==true or Column_3<=-1.1870271596234325) then
-0.8614608311023392
else
case when (Column_3 is null and true==true or Column_3<=0.3450499438974393) then
case when (Column_9 is null and true==true or Column_9<=0.719805683840674) then
-0.452301345707117
else
case when (Column_3 is null and true==true or Column_3<=0.24246683106041103) then
-0.5283016889821918
else
-0.7127023928846948
end
end
else
case when (Column_8 is null and true==true or Column_8<=-0.41161510713991156) then
-0.4296985348121034
else
case when (Column_5 is null and true==true or Column_5<=0.10191127467897389) then
-0.8660786096722881
else
-0.7213351365659543
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=0.1335285190014809) then
case when (Column_8 is null and true==true or Column_8<=0.3151386351229311) then
-0.7813601336005307
else
case when (Column_8 is null and true==true or Column_8<=0.797889562545179) then
case when (Column_7 is null and true==true or Column_7<=-0.6119464230811894) then
-0.47541454265459887
else
case when (Column_9 is null and true==true or Column_9<=1.036435633602195) then
-0.5335985526359568
else
-0.7562414479727859
end
end
else
-0.4911879020856353
end
end
else
case when (Column_8 is null and true==true or Column_8<=-0.2260123021962532) then
-0.4495750599610143
else
case when (Column_5 is null and true==true or Column_5<=1.3421825678767703) then
-0.8610329200059168
else
case when (Column_7 is null and true==true or Column_7<=0.9404699950203693) then
-0.8282483467723211
else
-0.6811365779458289
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=2.2029620939306103) then
case when (Column_8 is null and true==true or Column_8<=-0.20972527484810635) then
-0.8620295284631452
else
-0.6406954940851597
end
else
-0.49244599655670496
end
end
else
case when (Column_3 is null and true==true or Column_3<=1.7659981730252496) then
case when (Column_7 is null and true==true or Column_7<=-0.709846883702808) then
-0.44913417585419935
else
-0.7039945818670766
end
else
-0.8609816276658351
end
end
end
as tree_0_score,
--tree1
case when (Column_9 is null and true==true or Column_9<=-1.6632177658322267) then
case when (Column_3 is null and true==true or Column_3<=-1.5495347315228287) then
-0.1304300334944157
else
case when (Column_3 is null and true==true or Column_3<=1.084128912605023) then
0.23707714508016445
else
-0.0285157252239888
end
end
else
case when (Column_9 is null and true==true or Column_9<=1.6094262296522934) then
case when (Column_3 is null and true==true or Column_3<=0.5872311864187175) then
case when (Column_5 is null and true==true or Column_5<=0.6614392939376948) then
case when (Column_7 is null and true==true or Column_7<=-0.9295802204706084) then
case when (Column_3 is null and true==true or Column_3<=-0.47247338144095047) then
case when (Column_9 is null and true==true or Column_9<=0.6831935640096413) then
0.19417988489655402
else
-0.02440020590879623
end
else
case when (Column_9 is null and true==true or Column_9<=1.036435633602195) then
-0.11286120415008301
else
0.08687819192210895
end
end
else
case when (Column_3 is null and true==true or Column_3<=-1.1870271596234325) then
-0.11564799847528345
else
case when (Column_9 is null and true==true or Column_9<=0.3004389492550987) then
0.2405259765006961
else
case when (Column_3 is null and true==true or Column_3<=0.2158166423973093) then
case when (Column_7 is null and true==true or Column_7<=-0.6547653704267197) then
0.11054725461728983
else
0.2269735323256574
end
else
case when (Column_5 is null and true==true or Column_5<=0.10191127467897389) then
-0.1208387319652229
else
case when (Column_1 is null and true==true or Column_1<=0.6151636033969191) then
case when (Column_8 is null and true==true or Column_8<=-0.018071874612147206) then
0.0016586271011360867
else
0.1332964744950624
end
else
-0.04300639955361431
end
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=0.1335285190014809) then
case when (Column_8 is null and true==true or Column_8<=0.27824194846895633) then
-0.0613742224255702
else
case when (Column_3 is null and true==true or Column_3<=-0.37785910715343846) then
0.23646592246665976
else
case when (Column_7 is null and true==true or Column_7<=-0.3752232334694377) then
case when (Column_8 is null and true==true or Column_8<=1.2531231065059638) then
0.20734413117883457
else
0.08650249777206469
end
else
case when (Column_6 is null and true==true or Column_6<=0.1864449772206759) then
0.0014253268716679143
else
0.19695058122999737
end
end
end
end
else
case when (Column_8 is null and true==true or Column_8<=-0.2260123021962532) then
0.23847961174940435
else
case when (Column_5 is null and true==true or Column_5<=1.3421825678767703) then
-0.115222500730401
else
case when (Column_8 is null and true==true or Column_8<=0.1800136296190439) then
0.060703267253890685
else
-0.08603393258665121
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=2.0654353175567177) then
case when (Column_8 is null and true==true or Column_8<=-0.20972527484810635) then
-0.11660912729818569
else
0.08556190442726179
end
else
0.19286044838453295
end
end
else
case when (Column_3 is null and true==true or Column_3<=1.7659981730252496) then
case when (Column_7 is null and true==true or Column_7<=-0.709846883702808) then
0.23881782889986833
else
0.031196179358762684
end
else
-0.11517151290097437
end
end
end
as tree_1_score,
--tree2
case when (Column_9 is null and true==true or Column_9<=-1.6632177658322267) then
case when (Column_3 is null and true==true or Column_3<=-1.5495347315228287) then
-0.1246790381676725
else
case when (Column_3 is null and true==true or Column_3<=1.3809327191663714) then
case when (Column_3 is null and true==true or Column_3<=0.7880730732430219) then
0.20644395671242038
else
0.1189732213687583
end
else
-0.0788791406092519
end
end
else
case when (Column_9 is null and true==true or Column_9<=1.6094262296522934) then
case when (Column_3 is null and true==true or Column_3<=0.6038877970616275) then
case when (Column_5 is null and true==true or Column_5<=0.6614392939376948) then
case when (Column_7 is null and true==true or Column_7<=-0.9295802204706084) then
case when (Column_3 is null and true==true or Column_3<=-0.47247338144095047) then
case when (Column_7 is null and true==true or Column_7<=-1.6012773225012003) then
case when (Column_9 is null and true==true or Column_9<=0.5166566313259823) then
0.14609631025061118
else
-0.08519567041375777
end
else
0.20775467159820815
end
else
case when (Column_9 is null and true==true or Column_9<=1.013669661144344) then
-0.10698219135389433
else
0.06871478156256401
end
end
else
case when (Column_3 is null and true==true or Column_3<=-1.3968501345470952) then
-0.11575647257046306
else
case when (Column_3 is null and true==true or Column_3<=0.3381305759653203) then
case when (Column_9 is null and true==true or Column_9<=0.6711065070274237) then
0.2055124396523362
else
case when (Column_3 is null and true==true or Column_3<=0.08416177325543671) then
0.18486979450427765
else
case when (Column_5 is null and true==true or Column_5<=0.4068544493018646) then
-0.04785536117613759
else
0.11879752654423877
end
end
end
else
case when (Column_8 is null and true==true or Column_8<=-0.5159476948660279) then
0.22110765206038635
else
case when (Column_9 is null and true==true or Column_9<=0.7486693174493504) then
-0.07426890908854177
else
0.12667195625568606
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=0.1335285190014809) then
case when (Column_8 is null and true==true or Column_8<=0.24202650482335777) then
-0.07289970951054063
else
case when (Column_8 is null and true==true or Column_8<=0.797889562545179) then
case when (Column_7 is null and true==true or Column_7<=-0.6119464230811894) then
0.19832855719431475
else
0.05525269245438189
end
else
0.17963780553305242
end
end
else
case when (Column_8 is null and true==true or Column_8<=-0.25745431183810524) then
0.20767489164465192
else
case when (Column_5 is null and true==true or Column_5<=1.3421825678767703) then
-0.10914096073415368
else
case when (Column_9 is null and true==true or Column_9<=1.1239281866391186) then
0.04590138464892762
else
-0.08877584425107066
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=2.2516563501714586) then
case when (Column_8 is null and true==true or Column_8<=-0.20972527484810635) then
-0.11032211105487942
else
0.06868549293845214
end
else
0.18271175459060623
end
end
else
case when (Column_3 is null and true==true or Column_3<=1.7659981730252496) then
case when (Column_7 is null and true==true or Column_7<=-0.709846883702808) then
0.2062125352630051
else
0.027771830564502133
end
else
-0.10919849076791249
end
end
end
as tree_2_score
from data_table)
lightgbm model transform sql
- 导入相关依赖
import lightgbm as lgb
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
- 训练1个lightgbm二分类模型
X, y = make_classification(n_samples=10000,
n_features=10,
n_informative=3,
n_redundant=2,
n_repeated=0,
n_classes=2,
weights=[0.7, 0.3],
flip_y=0.1,
random_state=1024)
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=1024)
###训练模型
model = lgb.LGBMClassifier(n_estimators=3)
model.fit(X_train, y_train)
lgb.create_tree_digraph(model._Booster, tree_index=0)
- 使用lgb2sql工具包将模型转换成的sql语句
from lgb2sql import Lgb2Sql
lgb2sql = Lgb2Sql()
sql_str = lgb2sql.transform(model)
- 将sql语句保存
lgb2sql.save()
- 将sql语句打印出来
print(sql_str)
select key,1 / (1 + exp(-((tree_0_score + tree_1_score + tree_2_score)+(-0.0)))) as score
from (
select key,
--tree0
case when (Column_9 is null and true==true or Column_9<=-1.6632177658322267) then
case when (Column_3 is null and true==true or Column_3<=-1.5495347315228287) then
-0.8762269835062461
else
case when (Column_3 is null and true==true or Column_3<=1.3809327191663714) then
case when (Column_7 is null and true==true or Column_7<=-0.9295802204706084) then
-0.5897045622608377
else
-0.45043755217654896
end
else
-0.8259039361137315
end
end
else
case when (Column_9 is null and true==true or Column_9<=1.6094262296522934) then
case when (Column_3 is null and true==true or Column_3<=0.5872311864187175) then
case when (Column_5 is null and true==true or Column_5<=0.6614392939376948) then
case when (Column_7 is null and true==true or Column_7<=-0.7719746626173067) then
case when (Column_3 is null and true==true or Column_3<=-0.47247338144095047) then
case when (Column_8 is null and true==true or Column_8<=1.366961884973301) then
-0.4786799717862057
else
-0.7246405208927198
end
else
case when (Column_5 is null and true==true or Column_5<=0.33583497995253037) then
-0.8576174849758683
else
case when (Column_8 is null and true==true or Column_8<=0.725660478148893) then
-0.45255653873335094
else
-0.7268525857883245
end
end
end
else
case when (Column_3 is null and true==true or Column_3<=-1.1870271596234325) then
-0.8614608311023392
else
case when (Column_3 is null and true==true or Column_3<=0.3450499438974393) then
case when (Column_9 is null and true==true or Column_9<=0.719805683840674) then
-0.452301345707117
else
case when (Column_3 is null and true==true or Column_3<=0.24246683106041103) then
-0.5283016889821918
else
-0.7127023928846948
end
end
else
case when (Column_8 is null and true==true or Column_8<=-0.41161510713991156) then
-0.4296985348121034
else
case when (Column_5 is null and true==true or Column_5<=0.10191127467897389) then
-0.8660786096722881
else
-0.7213351365659543
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=0.1335285190014809) then
case when (Column_8 is null and true==true or Column_8<=0.3151386351229311) then
-0.7813601336005307
else
case when (Column_8 is null and true==true or Column_8<=0.797889562545179) then
case when (Column_7 is null and true==true or Column_7<=-0.6119464230811894) then
-0.47541454265459887
else
case when (Column_9 is null and true==true or Column_9<=1.036435633602195) then
-0.5335985526359568
else
-0.7562414479727859
end
end
else
-0.4911879020856353
end
end
else
case when (Column_8 is null and true==true or Column_8<=-0.2260123021962532) then
-0.4495750599610143
else
case when (Column_5 is null and true==true or Column_5<=1.3421825678767703) then
-0.8610329200059168
else
case when (Column_7 is null and true==true or Column_7<=0.9404699950203693) then
-0.8282483467723211
else
-0.6811365779458289
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=2.2029620939306103) then
case when (Column_8 is null and true==true or Column_8<=-0.20972527484810635) then
-0.8620295284631452
else
-0.6406954940851597
end
else
-0.49244599655670496
end
end
else
case when (Column_3 is null and true==true or Column_3<=1.7659981730252496) then
case when (Column_7 is null and true==true or Column_7<=-0.709846883702808) then
-0.44913417585419935
else
-0.7039945818670766
end
else
-0.8609816276658351
end
end
end
as tree_0_score,
--tree1
case when (Column_9 is null and true==true or Column_9<=-1.6632177658322267) then
case when (Column_3 is null and true==true or Column_3<=-1.5495347315228287) then
-0.1304300334944157
else
case when (Column_3 is null and true==true or Column_3<=1.084128912605023) then
0.23707714508016445
else
-0.0285157252239888
end
end
else
case when (Column_9 is null and true==true or Column_9<=1.6094262296522934) then
case when (Column_3 is null and true==true or Column_3<=0.5872311864187175) then
case when (Column_5 is null and true==true or Column_5<=0.6614392939376948) then
case when (Column_7 is null and true==true or Column_7<=-0.9295802204706084) then
case when (Column_3 is null and true==true or Column_3<=-0.47247338144095047) then
case when (Column_9 is null and true==true or Column_9<=0.6831935640096413) then
0.19417988489655402
else
-0.02440020590879623
end
else
case when (Column_9 is null and true==true or Column_9<=1.036435633602195) then
-0.11286120415008301
else
0.08687819192210895
end
end
else
case when (Column_3 is null and true==true or Column_3<=-1.1870271596234325) then
-0.11564799847528345
else
case when (Column_9 is null and true==true or Column_9<=0.3004389492550987) then
0.2405259765006961
else
case when (Column_3 is null and true==true or Column_3<=0.2158166423973093) then
case when (Column_7 is null and true==true or Column_7<=-0.6547653704267197) then
0.11054725461728983
else
0.2269735323256574
end
else
case when (Column_5 is null and true==true or Column_5<=0.10191127467897389) then
-0.1208387319652229
else
case when (Column_1 is null and true==true or Column_1<=0.6151636033969191) then
case when (Column_8 is null and true==true or Column_8<=-0.018071874612147206) then
0.0016586271011360867
else
0.1332964744950624
end
else
-0.04300639955361431
end
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=0.1335285190014809) then
case when (Column_8 is null and true==true or Column_8<=0.27824194846895633) then
-0.0613742224255702
else
case when (Column_3 is null and true==true or Column_3<=-0.37785910715343846) then
0.23646592246665976
else
case when (Column_7 is null and true==true or Column_7<=-0.3752232334694377) then
case when (Column_8 is null and true==true or Column_8<=1.2531231065059638) then
0.20734413117883457
else
0.08650249777206469
end
else
case when (Column_6 is null and true==true or Column_6<=0.1864449772206759) then
0.0014253268716679143
else
0.19695058122999737
end
end
end
end
else
case when (Column_8 is null and true==true or Column_8<=-0.2260123021962532) then
0.23847961174940435
else
case when (Column_5 is null and true==true or Column_5<=1.3421825678767703) then
-0.115222500730401
else
case when (Column_8 is null and true==true or Column_8<=0.1800136296190439) then
0.060703267253890685
else
-0.08603393258665121
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=2.0654353175567177) then
case when (Column_8 is null and true==true or Column_8<=-0.20972527484810635) then
-0.11660912729818569
else
0.08556190442726179
end
else
0.19286044838453295
end
end
else
case when (Column_3 is null and true==true or Column_3<=1.7659981730252496) then
case when (Column_7 is null and true==true or Column_7<=-0.709846883702808) then
0.23881782889986833
else
0.031196179358762684
end
else
-0.11517151290097437
end
end
end
as tree_1_score,
--tree2
case when (Column_9 is null and true==true or Column_9<=-1.6632177658322267) then
case when (Column_3 is null and true==true or Column_3<=-1.5495347315228287) then
-0.1246790381676725
else
case when (Column_3 is null and true==true or Column_3<=1.3809327191663714) then
case when (Column_3 is null and true==true or Column_3<=0.7880730732430219) then
0.20644395671242038
else
0.1189732213687583
end
else
-0.0788791406092519
end
end
else
case when (Column_9 is null and true==true or Column_9<=1.6094262296522934) then
case when (Column_3 is null and true==true or Column_3<=0.6038877970616275) then
case when (Column_5 is null and true==true or Column_5<=0.6614392939376948) then
case when (Column_7 is null and true==true or Column_7<=-0.9295802204706084) then
case when (Column_3 is null and true==true or Column_3<=-0.47247338144095047) then
case when (Column_7 is null and true==true or Column_7<=-1.6012773225012003) then
case when (Column_9 is null and true==true or Column_9<=0.5166566313259823) then
0.14609631025061118
else
-0.08519567041375777
end
else
0.20775467159820815
end
else
case when (Column_9 is null and true==true or Column_9<=1.013669661144344) then
-0.10698219135389433
else
0.06871478156256401
end
end
else
case when (Column_3 is null and true==true or Column_3<=-1.3968501345470952) then
-0.11575647257046306
else
case when (Column_3 is null and true==true or Column_3<=0.3381305759653203) then
case when (Column_9 is null and true==true or Column_9<=0.6711065070274237) then
0.2055124396523362
else
case when (Column_3 is null and true==true or Column_3<=0.08416177325543671) then
0.18486979450427765
else
case when (Column_5 is null and true==true or Column_5<=0.4068544493018646) then
-0.04785536117613759
else
0.11879752654423877
end
end
end
else
case when (Column_8 is null and true==true or Column_8<=-0.5159476948660279) then
0.22110765206038635
else
case when (Column_9 is null and true==true or Column_9<=0.7486693174493504) then
-0.07426890908854177
else
0.12667195625568606
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=0.1335285190014809) then
case when (Column_8 is null and true==true or Column_8<=0.24202650482335777) then
-0.07289970951054063
else
case when (Column_8 is null and true==true or Column_8<=0.797889562545179) then
case when (Column_7 is null and true==true or Column_7<=-0.6119464230811894) then
0.19832855719431475
else
0.05525269245438189
end
else
0.17963780553305242
end
end
else
case when (Column_8 is null and true==true or Column_8<=-0.25745431183810524) then
0.20767489164465192
else
case when (Column_5 is null and true==true or Column_5<=1.3421825678767703) then
-0.10914096073415368
else
case when (Column_9 is null and true==true or Column_9<=1.1239281866391186) then
0.04590138464892762
else
-0.08877584425107066
end
end
end
end
end
else
case when (Column_7 is null and true==true or Column_7<=2.2516563501714586) then
case when (Column_8 is null and true==true or Column_8<=-0.20972527484810635) then
-0.11032211105487942
else
0.06868549293845214
end
else
0.18271175459060623
end
end
else
case when (Column_3 is null and true==true or Column_3<=1.7659981730252496) then
case when (Column_7 is null and true==true or Column_7<=-0.709846883702808) then
0.2062125352630051
else
0.027771830564502133
end
else
-0.10919849076791249
end
end
end
as tree_2_score
from data_table)
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