fix: LRL1 results now reproducible (#1546)

Author: immu4989

flaml/automl/model.py

@@ -2032,6 +2032,9 @@ def config2params(self, config: dict) -> dict:
 
     def __init__(self, task="binary", **config):
         super().__init__(task, **config)
+        random_seed = self.params.pop("random_seed", config.get("random_seed", 10242048))
+        if "random_state" not in self.params:
+            self.params["random_state"] = random_seed
         assert self._task.is_classification(), "LogisticRegression for classification task only"
         self.estimator_class = LogisticRegression
 

test/automl/test_classification.py

@@ -432,7 +432,7 @@ def test_sparse_matrix_lr(self):
         "histgb",
         "kneighbor",
         "lgbm",
-        # "lrl1",
+        "lrl1",
         "lrl2",
         "rf",
         "sgd",
@@ -495,7 +495,7 @@ def test_reproducibility_of_classification_models(estimator: str):
         "histgb",
         "kneighbor",
         "lgbm",
-        # "lrl1",
+        "lrl1",
         "lrl2",
         "svc",
         "rf",