Package: xgb2sql
Project name hereSummary description here.This file will become your README and also the index of your documentation.Installpip install xgb2sqlHow to useSo easy even I could do it!fromxgb2sqlimportcoreimportxgboostasxgbfromsklearn.datasetsimportload_breast_cancerfromsklearn.model_selectionimporttrain_test_splitX,y=load_breast_cancer(return_X_y=True)X_train,X_test,y_train,y_test=train_test_split(X,y,random_state=0)woo=xgb.XGBClassifier(n_estimators=5)woo.fit(X_train,y_train)xgb.to_graphviz(woo)tree=core.xgb2sql(woo.get_booster(),'breast_cancer')print(tree)WITH booster_output AS (
	SELECT
		CASE
			WHEN ((f7 < 0.0489199981) OR (f7 IS NULL))
			AND ((f20 < 16.8250008) OR (f20 IS NULL))
			AND ((f10 < 0.591250002) OR (f10 IS NULL))
		THEN 0.191869915
			WHEN ((f7 < 0.0489199981) OR (f7 IS NULL))
			AND ((f20 < 16.8250008) OR (f20 IS NULL))
			AND (f10 >= 0.591250002)
		THEN 0
			WHEN ((f7 < 0.0489199981) OR (f7 IS NULL))
			AND (f20 >= 16.8250008)
			AND ((f1 < 18.9599991) OR (f1 IS NULL))
		THEN 0.120000005
			WHEN ((f7 < 0.0489199981) OR (f7 IS NULL))
			AND (f20 >= 16.8250008)
			AND (f1 >= 18.9599991)
		THEN -0.13333334
			WHEN (f7 >= 0.0489199981)
			AND ((f23 < 785.799988) OR (f23 IS NULL))
			AND ((f21 < 23.7399998) OR (f21 IS NULL))
		THEN 0.155555561
			WHEN (f7 >= 0.0489199981)
			AND ((f23 < 785.799988) OR (f23 IS NULL))
			AND (f21 >= 23.7399998)
		THEN -0.100000001
			WHEN (f7 >= 0.0489199981)
			AND (f23 >= 785.799988)
			AND ((f1 < 14.3000002) OR (f1 IS NULL))
		THEN 0
			WHEN (f7 >= 0.0489199981)
			AND (f23 >= 785.799988)
			AND (f1 >= 14.3000002)
		THEN -0.191176474
		END AS column_0, 
		CASE
			WHEN ((f7 < 0.0500999987) OR (f7 IS NULL))
			AND ((f20 < 16.8250008) OR (f20 IS NULL))
			AND ((f13 < 38.6049995) OR (f13 IS NULL))
		THEN 0.17467472
			WHEN ((f7 < 0.0500999987) OR (f7 IS NULL))
			AND ((f20 < 16.8250008) OR (f20 IS NULL))
			AND (f13 >= 38.6049995)
		THEN 0.0302315652
			WHEN ((f7 < 0.0500999987) OR (f7 IS NULL))
			AND (f20 >= 16.8250008)
			AND ((f1 < 18.9599991) OR (f1 IS NULL))
		THEN 0.113052242
			WHEN ((f7 < 0.0500999987) OR (f7 IS NULL))
			AND (f20 >= 16.8250008)
			AND (f1 >= 18.9599991)
		THEN -0.124826349
			WHEN (f7 >= 0.0500999987)
			AND ((f22 < 103.25) OR (f22 IS NULL))
			AND ((f21 < 25.9249992) OR (f21 IS NULL))
		THEN 0.140555695
			WHEN (f7 >= 0.0500999987)
			AND ((f22 < 103.25) OR (f22 IS NULL))
			AND (f21 >= 25.9249992)
		THEN -0.0846852511
			WHEN (f7 >= 0.0500999987)
			AND (f22 >= 103.25)
			AND ((f21 < 20.3549995) OR (f21 IS NULL))
		THEN -0.01987583
			WHEN (f7 >= 0.0500999987)
			AND (f22 >= 103.25)
			AND (f21 >= 20.3549995)
		THEN -0.174933031
		END AS column_1, 
		CASE
			WHEN ((f27 < 0.142349988) OR (f27 IS NULL))
			AND ((f20 < 17.6149998) OR (f20 IS NULL))
			AND ((f13 < 35.2600021) OR (f13 IS NULL))
		THEN 0.159918889
			WHEN ((f27 < 0.142349988) OR (f27 IS NULL))
			AND ((f20 < 17.6149998) OR (f20 IS NULL))
			AND (f13 >= 35.2600021)
		THEN 0.0472318567
			WHEN ((f27 < 0.142349988) OR (f27 IS NULL))
			AND (f20 >= 17.6149998)
			AND ((f29 < 0.0649200007) OR (f29 IS NULL))
		THEN -0.0155247366
			WHEN ((f27 < 0.142349988) OR (f27 IS NULL))
			AND (f20 >= 17.6149998)
			AND (f29 >= 0.0649200007)
		THEN -0.119407289
			WHEN (f27 >= 0.142349988)
			AND ((f23 < 729.549988) OR (f23 IS NULL))
			AND ((f4 < 0.1083) OR (f4 IS NULL))
		THEN 0.120342232
			WHEN (f27 >= 0.142349988)
			AND ((f23 < 729.549988) OR (f23 IS NULL))
			AND (f4 >= 0.1083)
		THEN -0.108723581
			WHEN (f27 >= 0.142349988)
			AND (f23 >= 729.549988)
			AND ((f10 < 0.241250008) OR (f10 IS NULL))
		THEN -0.0287595335
			WHEN (f27 >= 0.142349988)
			AND (f23 >= 729.549988)
			AND (f10 >= 0.241250008)
		THEN -0.163232192
		END AS column_2, 
		CASE
			WHEN ((f7 < 0.0489199981) OR (f7 IS NULL))
			AND ((f20 < 16.8250008) OR (f20 IS NULL))
			AND ((f10 < 0.528550029) OR (f10 IS NULL))
		THEN 0.151598975
			WHEN ((f7 < 0.0489199981) OR (f7 IS NULL))
			AND ((f20 < 16.8250008) OR (f20 IS NULL))
			AND (f10 >= 0.528550029)
		THEN 0.0131686451
			WHEN ((f7 < 0.0489199981) OR (f7 IS NULL))
			AND (f20 >= 16.8250008)
			AND ((f1 < 18.9599991) OR (f1 IS NULL))
		THEN 0.101920418
			WHEN ((f7 < 0.0489199981) OR (f7 IS NULL))
			AND (f20 >= 16.8250008)
			AND (f1 >= 18.9599991)
		THEN -0.113945559
			WHEN (f7 >= 0.0489199981)
			AND ((f23 < 785.799988) OR (f23 IS NULL))
			AND ((f21 < 23.7399998) OR (f21 IS NULL))
		THEN 0.131930456
			WHEN (f7 >= 0.0489199981)
			AND ((f23 < 785.799988) OR (f23 IS NULL))
			AND (f21 >= 23.7399998)
		THEN -0.0824727714
			WHEN (f7 >= 0.0489199981)
			AND (f23 >= 785.799988)
			AND ((f12 < 2.02349997) OR (f12 IS NULL))
		THEN -0.0275684185
			WHEN (f7 >= 0.0489199981)
			AND (f23 >= 785.799988)
			AND (f12 >= 2.02349997)
		THEN -0.155280709
		END AS column_3, 
		CASE
			WHEN ((f27 < 0.145449996) OR (f27 IS NULL))
			AND ((f22 < 107.599998) OR (f22 IS NULL))
			AND ((f13 < 46.7900009) OR (f13 IS NULL))
		THEN 0.142997682
			WHEN ((f27 < 0.145449996) OR (f27 IS NULL))
			AND ((f22 < 107.599998) OR (f22 IS NULL))
			AND (f13 >= 46.7900009)
		THEN 0.00895034242
			WHEN ((f27 < 0.145449996) OR (f27 IS NULL))
			AND (f22 >= 107.599998)
			AND ((f21 < 20.0849991) OR (f21 IS NULL))
		THEN 0.12236432
			WHEN ((f27 < 0.145449996) OR (f27 IS NULL))
			AND (f22 >= 107.599998)
			AND (f21 >= 20.0849991)
		THEN -0.0948726162
			WHEN (f27 >= 0.145449996)
			AND ((f23 < 710.200012) OR (f23 IS NULL))
			AND ((f21 < 25.0550003) OR (f21 IS NULL))
		THEN 0.0869635344
			WHEN (f27 >= 0.145449996)
			AND ((f23 < 710.200012) OR (f23 IS NULL))
			AND (f21 >= 25.0550003)
		THEN -0.0576682575
			WHEN (f27 >= 0.145449996)
			AND (f23 >= 710.200012)
			AND ((f6 < 0.0892650038) OR (f6 IS NULL))
		THEN -0.0451009385
			WHEN (f27 >= 0.145449996)
			AND (f23 >= 710.200012)
			AND (f6 >= 0.0892650038)
		THEN -0.147640571
		END AS column_4
	FROM breast_cancer
	WHERE source = 'test'
)

SELECT
    1 / ( 1 + EXP ( - (
    column_0
	+ column_1
	+ column_2
	+ column_3
	+ column_4 ) ) ) AS score
FROM booster_outputTada!