Convert numpy float to Python float in feat score. (#7047)

python-package/xgboost/core.py

@@ -2235,7 +2235,7 @@ class Booster(object):
         scores_arr = ctypes2numpy(scores, length.value, np.float32)
         results = {}
         for feat, score in zip(features_arr, scores_arr):
-            results[feat] = score
+            results[feat] = float(score)
         return results
 
     def trees_to_dataframe(self, fmap=''):

tests/python/test_basic.py

@@ -171,6 +171,11 @@ class TestBasic:
         with pytest.raises(ValueError):
             booster.get_fscore()
 
+        booster.feature_names = None
+        # Use JSON to make sure the output has native Python type
+        scores = json.loads(json.dumps(booster.get_fscore()))
+        np.testing.assert_allclose(scores["f0"], 6.0)
+
     def test_load_file_invalid(self):
         with pytest.raises(xgb.core.XGBoostError):
             xgb.Booster(model_file='incorrect_path')