diff --git a/CHANGELOG.md b/CHANGELOG.md
index 9294fb5a3..9ccfbb910 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,6 +13,13 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 -
 -
 -
+-
+-
+-
+-
+-
+-
+-
 ### Changed
 -
 -
@@ -22,12 +29,23 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - 
 - Mark some tests as long ([#929](https://github.com/tinkoff-ai/etna/pull/929))
 -
-### Fixed
 -
 -
+-
+-
+-
+### Fixed
+- Fix to_dict with function as parameter ([#941](https://github.com/tinkoff-ai/etna/pull/941))
+-
 - Fix native networks to work with generated future equals to horizon ([#936](https://github.com/tinkoff-ai/etna/pull/936))
 - Fix `SARIMAXModel` to work with exogenous data on `pmdarima>=2.0` ([#940](https://github.com/tinkoff-ai/etna/pull/940))
 -
+-
+-
+-
+-
+-
+-
 
 ## [1.12.0] - 2022-09-05
 ### Added
diff --git a/etna/core/mixins.py b/etna/core/mixins.py
index 90166dab0..2ddec9d7a 100644
--- a/etna/core/mixins.py
+++ b/etna/core/mixins.py
@@ -2,6 +2,7 @@
 import warnings
 from enum import Enum
 from typing import Any
+from typing import Callable
 from typing import Dict
 from typing import List
 
@@ -37,6 +38,10 @@ def _get_target_from_class(value: Any):
             return None
         return str(value.__module__) + "." + str(value.__class__.__name__)
 
+    @staticmethod
+    def _get_target_from_function(value: Callable):
+        return str(value.__module__) + "." + str(value.__qualname__)
+
     @staticmethod
     def _parse_value(value: Any) -> Any:
         if isinstance(value, BaseMixin):
@@ -55,6 +60,8 @@ def _parse_value(value: Any) -> Any:
             return tuple([BaseMixin._parse_value(elem) for elem in value])
         elif isinstance(value, Dict):
             return {key: BaseMixin._parse_value(item) for key, item in value.items()}
+        elif inspect.isfunction(value):
+            return {"_target_": BaseMixin._get_target_from_function(value)}
         else:
             answer = {}
             answer["_target_"] = BaseMixin._get_target_from_class(value)
diff --git a/tests/test_core/test_to_dict.py b/tests/test_core/test_to_dict.py
index 99f930ae8..6831bd5fd 100644
--- a/tests/test_core/test_to_dict.py
+++ b/tests/test_core/test_to_dict.py
@@ -18,6 +18,7 @@
 from etna.pipeline import Pipeline
 from etna.transforms import AddConstTransform
 from etna.transforms import ChangePointsTrendTransform
+from etna.transforms import DensityOutliersTransform
 from etna.transforms import LambdaTransform
 from etna.transforms import LogTransform
 
@@ -53,9 +54,15 @@ def ensemble_samples():
         ChangePointsTrendTransform(
             in_column="target", change_point_model=Binseg(), detrend_model=LinearRegression(), n_bkps=50
         ),
+        pytest.param(
+            DensityOutliersTransform("target", distance_coef=6),
+            marks=pytest.mark.xfail(
+                reason="partial function after initialization instead of original function, dumps return different results"
+            ),
+        ),
         pytest.param(
             LambdaTransform(in_column="target", transform_func=lambda x: x - 2, inverse_transform_func=lambda x: x + 2),
-            marks=pytest.mark.xfail(reason="some bug"),
+            marks=pytest.mark.xfail(reason="lambdas in class attributes"),
         ),
     ],
 )
@@ -66,6 +73,22 @@ def test_to_dict_transforms(target_object):
     assert pickle.dumps(transformed_object) == pickle.dumps(target_object)
 
 
+# fmt: off
+@pytest.mark.parametrize(
+    "target_object, expected",
+    [
+        (
+            DensityOutliersTransform("target", distance_coef=6),
+            {'in_column': 'target', 'window_size': 15, 'distance_coef': 6, 'n_neighbors': 3, 'distance_func': {'_target_': 'etna.analysis.outliers.density_outliers.absolute_difference_distance'}, '_target_': 'etna.transforms.outliers.point_outliers.DensityOutliersTransform'}  # noqa: E501
+        )
+    ],
+)
+def test_to_dict_transforms_with_expected(target_object, expected):
+    dict_object = target_object.to_dict()
+    assert dict_object == expected
+# fmt: on
+
+
 @pytest.mark.parametrize(
     "target_model",
     [