From 5cc4f63a7fdacd49551b996bebf9927290ef7beb Mon Sep 17 00:00:00 2001
From: Daniel Friesel <daniel.friesel@uos.de>
Date: Wed, 1 Feb 2023 15:04:16 +0100
Subject: XGB: Add --export-webconf support (generate a list of CART)

---
 lib/functions.py  | 37 ++++++++++++++++++++++++++++++++++++-
 lib/parameters.py |  8 ++++++--
 2 files changed, 42 insertions(+), 3 deletions(-)

(limited to 'lib')

diff --git a/lib/functions.py b/lib/functions.py
index 6613e36..74b5509 100644
--- a/lib/functions.py
+++ b/lib/functions.py
@@ -620,7 +620,7 @@ class LMTFunction(SKLearnRegressionFunction):
 
 
 class XGBoostFunction(SKLearnRegressionFunction):
-    def to_json(self):
+    def to_json(self, feature_names=None, **kwargs):
         import json
 
         tempfile = f"/tmp/xgb{os.getpid()}.json"
@@ -631,8 +631,43 @@ class XGBoostFunction(SKLearnRegressionFunction):
         with open(tempfile, "r") as f:
             data = json.load(f)
         os.remove(tempfile)
+
+        if feature_names:
+            return list(
+                map(
+                    lambda tree: self.tree_to_webconf_json(
+                        tree, feature_names, **kwargs
+                    ),
+                    data,
+                )
+            )
         return data
 
+    def tree_to_webconf_json(self, tree, feature_names, **kwargs):
+        ret = dict()
+        if "children" in tree:
+            return {
+                "functionError": None,
+                "type": "scalarSplit",
+                "paramName": feature_names[int(tree["split"][1:])],
+                "paramDecisionValue": tree["split_condition"],
+                "value": None,
+                "valueError": None,
+                "left": self.tree_to_webconf_json(
+                    tree["children"][0], feature_names, **kwargs
+                ),
+                "right": self.tree_to_webconf_json(
+                    tree["children"][1], feature_names, **kwargs
+                ),
+            }
+        else:
+            return {
+                "functionError": None,
+                "type": "static",
+                "value": tree["leaf"],
+                "valueError": None,
+            }
+
     def get_number_of_nodes(self):
         return sum(map(self._get_number_of_nodes, self.to_json()))
 
diff --git a/lib/parameters.py b/lib/parameters.py
index 503e779..99418b6 100644
--- a/lib/parameters.py
+++ b/lib/parameters.py
@@ -591,7 +591,7 @@ class ModelAttribute:
         return f"ModelAttribute<{self.name}, {self.attr}, mean={mean}>"
 
     def to_json(self, **kwargs):
-        if type(self.model_function) == df.CARTFunction:
+        if type(self.model_function) in (df.CARTFunction, df.XGBoostFunction):
             import sklearn.tree
 
             feature_names = list(
@@ -621,7 +621,11 @@ class ModelAttribute:
             "argCount": self.arg_count,
             "modelFunction": self.model_function.to_json(**kwargs),
         }
-        if type(self.model_function) in (df.CARTFunction, df.FOLFunction):
+        if type(self.model_function) in (
+            df.CARTFunction,
+            df.FOLFunction,
+            df.XGBoostFunction,
+        ):
             feature_names = self.param_names
             feature_names += list(
                 map(
-- 
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