From 30792ce0630d8f0768379d8e7e0b8556fbfa9894 Mon Sep 17 00:00:00 2001
From: Daniel Friesel <daniel.friesel@uos.de>
Date: Thu, 6 Jan 2022 08:10:40 +0100
Subject: add preliminary xgboost support

---
 lib/parameters.py | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)

(limited to 'lib/parameters.py')

diff --git a/lib/parameters.py b/lib/parameters.py
index 38e36b2..ca28cbb 100644
--- a/lib/parameters.py
+++ b/lib/parameters.py
@@ -876,6 +876,7 @@ class ModelAttribute:
         with_function_leaves=False,
         with_nonbinary_nodes=True,
         with_sklearn_cart=False,
+        with_xgboost=False,
         loss_ignore_scalar=False,
         threshold=100,
     ):
@@ -908,6 +909,25 @@ class ModelAttribute:
             )
             return
 
+        if with_xgboost:
+            from xgboost import XGBRegressor
+
+            # TODO retrieve parameters from env
+            xgb = XGBRegressor(
+                n_estimators=100,
+                max_depth=10,
+                eta=0.2,
+                subsample=0.7,
+                gamma=0.01,
+                alpha=0.0006,
+            )
+            fit_parameters, ignore_index = param_to_ndarray(parameters, with_nan=False)
+            xgb.fit(fit_parameters, data)
+            self.model_function = df.SKLearnRegressionFunction(
+                np.mean(data), xgb, ignore_index
+            )
+            return
+
         if loss_ignore_scalar and not with_function_leaves:
             logger.warning(
                 "build_dtree called with loss_ignore_scalar=True, with_function_leaves=False. This does not make sense."
-- 
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