fix: normalize hyper params

2025-09-21 13:10:07 +02:00
parent 83d21c640b
commit 63e23d6600
8 changed files with 26 additions and 19 deletions
@@ -17,7 +17,7 @@ class NaiveBayesModel(TraditionalModel):
        # includes unigrams for coverage and higher n for suffix/prefix cues.
        vectorizer = CountVectorizer(
            analyzer="char",
-            ngram_range=params.get("ngram_range", (1, 4)),
+            ngram_range=params.get("ngram_range", (2, 5)),
            max_features=params.get("max_features", 8000),
        )