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authorDaniel Friesel <daniel.friesel@uos.de>2022-01-18 16:35:00 +0100
committerDaniel Friesel <daniel.friesel@uos.de>2022-01-18 16:35:00 +0100
commit9955d6a859616fcc80fb7eea0134c375bcb1330f (patch)
tree99d1cd70d8b8fb24d670fd8c96a624b7ec72f3b3
parent04619e4c28d5c6b919d841b57d8341ddcbbbfceb (diff)
optionally export xgboost model
-rw-r--r--lib/parameters.py3
1 files changed, 3 insertions, 0 deletions
diff --git a/lib/parameters.py b/lib/parameters.py
index 3157c91..50fefbe 100644
--- a/lib/parameters.py
+++ b/lib/parameters.py
@@ -965,6 +965,9 @@ class ModelAttribute:
self.model_function = df.SKLearnRegressionFunction(
np.mean(data), xgb, category_to_index, ignore_index
)
+ output_filename = os.getenv("DFATOOL_XGB_DUMP_MODEL", None)
+ if output_filename:
+ xgb.dump_model(output_filename, dump_format="json", with_stats=True)
return
if loss_ignore_scalar and not with_function_leaves: