<!--
#################################################
### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###
#################################################
# file to edit: index.ipynb
# command to build the docs after a change: nbdev_build_docs
-->
# Project name here
> Summary description here.
This file will become your README and also the index of your documentation.
## Install
`pip install xgb2sql`
## How to use
So easy even I could do it!
<div class="codecell" markdown="1">
<div class="input_area" markdown="1">
```python
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)
```
</div>
<div class="output_area" markdown="1">
</div>
</div>
<div class="codecell" markdown="1">
<div class="input_area" markdown="1">
```python
tree = core.xgb2sql(woo.get_booster(), 'breast_cancer')
print(tree)
```
</div>
<div class="output_area" markdown="1">
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
</div>
</div>
<div class="codecell" markdown="1">
<div class="input_area" markdown="1">
```python
Tada!
```
</div>
</div>
Raw data
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"name": "xgb2sql",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.6",
"maintainer_email": null,
"keywords": "xgb2sql, xgb sql, xgboost sql, xgboost to sql, xgb to sql",
"author": "Benjamin Jiang",
"author_email": "benjamin.jiang@well.co",
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"description": "\n<!--\n\n#################################################\n### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###\n#################################################\n# file to edit: index.ipynb\n# command to build the docs after a change: nbdev_build_docs\n\n-->\n\n# Project name here\n\n> Summary description here.\n\n\nThis file will become your README and also the index of your documentation.\n\n## Install\n\n`pip install xgb2sql`\n\n## How to use\n\nSo easy even I could do it!\n<div class=\"codecell\" markdown=\"1\">\n<div class=\"input_area\" markdown=\"1\">\n\n```python\nfrom xgb2sql import core\nimport xgboost as xgb\nfrom sklearn.datasets import load_breast_cancer\nfrom sklearn.model_selection import train_test_split\n\nX, y = load_breast_cancer(return_X_y=True)\n\nX_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)\n\nwoo = xgb.XGBClassifier(n_estimators=5)\nwoo.fit(X_train, y_train)\nxgb.to_graphviz(woo)\n```\n\n</div>\n<div class=\"output_area\" markdown=\"1\">\n\n\n\n\n\n\n\n\n</div>\n\n</div>\n<div class=\"codecell\" markdown=\"1\">\n<div class=\"input_area\" markdown=\"1\">\n\n```python\ntree = core.xgb2sql(woo.get_booster(), 'breast_cancer')\nprint(tree)\n```\n\n</div>\n<div class=\"output_area\" markdown=\"1\">\n\n WITH booster_output AS (\n \tSELECT\n \t\tCASE\n \t\t\tWHEN ((f7 < 0.0489199981) OR (f7 IS NULL))\n \t\t\tAND ((f20 < 16.8250008) OR (f20 IS NULL))\n \t\t\tAND ((f10 < 0.591250002) OR (f10 IS NULL))\n \t\tTHEN 0.191869915\n \t\t\tWHEN ((f7 < 0.0489199981) OR (f7 IS NULL))\n \t\t\tAND ((f20 < 16.8250008) OR (f20 IS NULL))\n \t\t\tAND (f10 >= 0.591250002)\n \t\tTHEN 0\n \t\t\tWHEN ((f7 < 0.0489199981) OR (f7 IS NULL))\n \t\t\tAND (f20 >= 16.8250008)\n \t\t\tAND ((f1 < 18.9599991) OR (f1 IS NULL))\n \t\tTHEN 0.120000005\n \t\t\tWHEN ((f7 < 0.0489199981) OR (f7 IS NULL))\n \t\t\tAND (f20 >= 16.8250008)\n \t\t\tAND (f1 >= 18.9599991)\n \t\tTHEN -0.13333334\n \t\t\tWHEN (f7 >= 0.0489199981)\n \t\t\tAND ((f23 < 785.799988) OR (f23 IS NULL))\n \t\t\tAND ((f21 < 23.7399998) OR (f21 IS NULL))\n \t\tTHEN 0.155555561\n \t\t\tWHEN (f7 >= 0.0489199981)\n \t\t\tAND ((f23 < 785.799988) OR (f23 IS NULL))\n \t\t\tAND (f21 >= 23.7399998)\n \t\tTHEN -0.100000001\n \t\t\tWHEN (f7 >= 0.0489199981)\n \t\t\tAND (f23 >= 785.799988)\n \t\t\tAND ((f1 < 14.3000002) OR (f1 IS NULL))\n \t\tTHEN 0\n \t\t\tWHEN (f7 >= 0.0489199981)\n \t\t\tAND (f23 >= 785.799988)\n \t\t\tAND (f1 >= 14.3000002)\n \t\tTHEN -0.191176474\n \t\tEND AS column_0, \n \t\tCASE\n \t\t\tWHEN ((f7 < 0.0500999987) OR (f7 IS NULL))\n \t\t\tAND ((f20 < 16.8250008) OR (f20 IS NULL))\n \t\t\tAND ((f13 < 38.6049995) OR (f13 IS NULL))\n \t\tTHEN 0.17467472\n \t\t\tWHEN ((f7 < 0.0500999987) OR (f7 IS NULL))\n \t\t\tAND ((f20 < 16.8250008) OR (f20 IS NULL))\n \t\t\tAND (f13 >= 38.6049995)\n \t\tTHEN 0.0302315652\n \t\t\tWHEN ((f7 < 0.0500999987) OR (f7 IS NULL))\n \t\t\tAND (f20 >= 16.8250008)\n \t\t\tAND ((f1 < 18.9599991) OR (f1 IS NULL))\n \t\tTHEN 0.113052242\n \t\t\tWHEN ((f7 < 0.0500999987) OR (f7 IS NULL))\n \t\t\tAND (f20 >= 16.8250008)\n \t\t\tAND (f1 >= 18.9599991)\n \t\tTHEN -0.124826349\n \t\t\tWHEN (f7 >= 0.0500999987)\n \t\t\tAND ((f22 < 103.25) OR (f22 IS NULL))\n \t\t\tAND ((f21 < 25.9249992) OR (f21 IS NULL))\n \t\tTHEN 0.140555695\n \t\t\tWHEN (f7 >= 0.0500999987)\n \t\t\tAND ((f22 < 103.25) OR (f22 IS NULL))\n \t\t\tAND (f21 >= 25.9249992)\n \t\tTHEN -0.0846852511\n \t\t\tWHEN (f7 >= 0.0500999987)\n \t\t\tAND (f22 >= 103.25)\n \t\t\tAND ((f21 < 20.3549995) OR (f21 IS NULL))\n \t\tTHEN -0.01987583\n \t\t\tWHEN (f7 >= 0.0500999987)\n \t\t\tAND (f22 >= 103.25)\n \t\t\tAND (f21 >= 20.3549995)\n \t\tTHEN -0.174933031\n \t\tEND AS column_1, \n \t\tCASE\n \t\t\tWHEN ((f27 < 0.142349988) OR (f27 IS NULL))\n \t\t\tAND ((f20 < 17.6149998) OR (f20 IS NULL))\n \t\t\tAND ((f13 < 35.2600021) OR (f13 IS NULL))\n \t\tTHEN 0.159918889\n \t\t\tWHEN ((f27 < 0.142349988) OR (f27 IS NULL))\n \t\t\tAND ((f20 < 17.6149998) OR (f20 IS NULL))\n \t\t\tAND (f13 >= 35.2600021)\n \t\tTHEN 0.0472318567\n \t\t\tWHEN ((f27 < 0.142349988) OR (f27 IS NULL))\n \t\t\tAND (f20 >= 17.6149998)\n \t\t\tAND ((f29 < 0.0649200007) OR (f29 IS NULL))\n \t\tTHEN -0.0155247366\n \t\t\tWHEN ((f27 < 0.142349988) OR (f27 IS NULL))\n \t\t\tAND (f20 >= 17.6149998)\n \t\t\tAND (f29 >= 0.0649200007)\n \t\tTHEN -0.119407289\n \t\t\tWHEN (f27 >= 0.142349988)\n \t\t\tAND ((f23 < 729.549988) OR (f23 IS NULL))\n \t\t\tAND ((f4 < 0.1083) OR (f4 IS NULL))\n \t\tTHEN 0.120342232\n \t\t\tWHEN (f27 >= 0.142349988)\n \t\t\tAND ((f23 < 729.549988) OR (f23 IS NULL))\n \t\t\tAND (f4 >= 0.1083)\n \t\tTHEN -0.108723581\n \t\t\tWHEN (f27 >= 0.142349988)\n \t\t\tAND (f23 >= 729.549988)\n \t\t\tAND ((f10 < 0.241250008) OR (f10 IS NULL))\n \t\tTHEN -0.0287595335\n \t\t\tWHEN (f27 >= 0.142349988)\n \t\t\tAND (f23 >= 729.549988)\n \t\t\tAND (f10 >= 0.241250008)\n \t\tTHEN -0.163232192\n \t\tEND AS column_2, \n \t\tCASE\n \t\t\tWHEN ((f7 < 0.0489199981) OR (f7 IS NULL))\n \t\t\tAND ((f20 < 16.8250008) OR (f20 IS NULL))\n \t\t\tAND ((f10 < 0.528550029) OR (f10 IS NULL))\n \t\tTHEN 0.151598975\n \t\t\tWHEN ((f7 < 0.0489199981) OR (f7 IS NULL))\n \t\t\tAND ((f20 < 16.8250008) OR (f20 IS NULL))\n \t\t\tAND (f10 >= 0.528550029)\n \t\tTHEN 0.0131686451\n \t\t\tWHEN ((f7 < 0.0489199981) OR (f7 IS NULL))\n \t\t\tAND (f20 >= 16.8250008)\n \t\t\tAND ((f1 < 18.9599991) OR (f1 IS NULL))\n \t\tTHEN 0.101920418\n \t\t\tWHEN ((f7 < 0.0489199981) OR (f7 IS NULL))\n \t\t\tAND (f20 >= 16.8250008)\n \t\t\tAND (f1 >= 18.9599991)\n \t\tTHEN -0.113945559\n \t\t\tWHEN (f7 >= 0.0489199981)\n \t\t\tAND ((f23 < 785.799988) OR (f23 IS NULL))\n \t\t\tAND ((f21 < 23.7399998) OR (f21 IS NULL))\n \t\tTHEN 0.131930456\n \t\t\tWHEN (f7 >= 0.0489199981)\n \t\t\tAND ((f23 < 785.799988) OR (f23 IS NULL))\n \t\t\tAND (f21 >= 23.7399998)\n \t\tTHEN -0.0824727714\n \t\t\tWHEN (f7 >= 0.0489199981)\n \t\t\tAND (f23 >= 785.799988)\n \t\t\tAND ((f12 < 2.02349997) OR (f12 IS NULL))\n \t\tTHEN -0.0275684185\n \t\t\tWHEN (f7 >= 0.0489199981)\n \t\t\tAND (f23 >= 785.799988)\n \t\t\tAND (f12 >= 2.02349997)\n \t\tTHEN -0.155280709\n \t\tEND AS column_3, \n \t\tCASE\n \t\t\tWHEN ((f27 < 0.145449996) OR (f27 IS NULL))\n \t\t\tAND ((f22 < 107.599998) OR (f22 IS NULL))\n \t\t\tAND ((f13 < 46.7900009) OR (f13 IS NULL))\n \t\tTHEN 0.142997682\n \t\t\tWHEN ((f27 < 0.145449996) OR (f27 IS NULL))\n \t\t\tAND ((f22 < 107.599998) OR (f22 IS NULL))\n \t\t\tAND (f13 >= 46.7900009)\n \t\tTHEN 0.00895034242\n \t\t\tWHEN ((f27 < 0.145449996) OR (f27 IS NULL))\n \t\t\tAND (f22 >= 107.599998)\n \t\t\tAND ((f21 < 20.0849991) OR (f21 IS NULL))\n \t\tTHEN 0.12236432\n \t\t\tWHEN ((f27 < 0.145449996) OR (f27 IS NULL))\n \t\t\tAND (f22 >= 107.599998)\n \t\t\tAND (f21 >= 20.0849991)\n \t\tTHEN -0.0948726162\n \t\t\tWHEN (f27 >= 0.145449996)\n \t\t\tAND ((f23 < 710.200012) OR (f23 IS NULL))\n \t\t\tAND ((f21 < 25.0550003) OR (f21 IS NULL))\n \t\tTHEN 0.0869635344\n \t\t\tWHEN (f27 >= 0.145449996)\n \t\t\tAND ((f23 < 710.200012) OR (f23 IS NULL))\n \t\t\tAND (f21 >= 25.0550003)\n \t\tTHEN -0.0576682575\n \t\t\tWHEN (f27 >= 0.145449996)\n \t\t\tAND (f23 >= 710.200012)\n \t\t\tAND ((f6 < 0.0892650038) OR (f6 IS NULL))\n \t\tTHEN -0.0451009385\n \t\t\tWHEN (f27 >= 0.145449996)\n \t\t\tAND (f23 >= 710.200012)\n \t\t\tAND (f6 >= 0.0892650038)\n \t\tTHEN -0.147640571\n \t\tEND AS column_4\n \tFROM breast_cancer\n \tWHERE source = 'test'\n )\n \n SELECT\n 1 / ( 1 + EXP ( - (\n column_0\n \t+ column_1\n \t+ column_2\n \t+ column_3\n \t+ column_4 ) ) ) AS score\n FROM booster_output\n\n\n</div>\n\n</div>\n<div class=\"codecell\" markdown=\"1\">\n<div class=\"input_area\" markdown=\"1\">\n\n```python\nTada!\n```\n\n</div>\n\n</div>\n",
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