Summary description here.
This file will become your README and also the index of your documentation.
pip install xgb2sql
So easy even I could do it!
from xgb2sql import core
import xgboost as xgb
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
X, 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_output
Tada!