diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 809da50..9b495c9 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -26,3 +26,8 @@ repos:
     rev: 20.8b1
     hooks:
       - id: black
+  - repo: https://github.com/hadialqattan/pycln
+    rev: v1.2.4 # Possible releases: https://github.com/hadialqattan/pycln/releases
+    hooks:
+      - id: pycln
+        args: [--config=pyproject.toml]
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 7f568f2..8916765 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -2,8 +2,6 @@
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
 #
-import os
-import sys
 from typing import List
 
 # Configuration file for the Sphinx documentation builder.
diff --git a/examples/movielens/movielens_1m.py b/examples/movielens/movielens_1m.py
index 7a773b8..0a04506 100644
--- a/examples/movielens/movielens_1m.py
+++ b/examples/movielens/movielens_1m.py
@@ -1,6 +1,4 @@
 import json
-import logging
-import os
 from typing import List, Tuple, Type
 
 from scipy import sparse as sps
diff --git a/irspack/dataset/downloader.py b/irspack/dataset/downloader.py
index 12bdb7a..d205ba5 100644
--- a/irspack/dataset/downloader.py
+++ b/irspack/dataset/downloader.py
@@ -1,4 +1,3 @@
-import os
 import urllib.request
 from abc import ABCMeta, abstractmethod
 from io import BytesIO
diff --git a/irspack/dataset/movielens/base.py b/irspack/dataset/movielens/base.py
index d0c2b04..e45a8fa 100644
--- a/irspack/dataset/movielens/base.py
+++ b/irspack/dataset/movielens/base.py
@@ -1,4 +1,4 @@
-from abc import ABCMeta, abstractmethod
+from abc import abstractmethod
 from io import BytesIO
 
 import pandas as pd
diff --git a/irspack/definitions.py b/irspack/definitions.py
index 06e0bbe..4dbd5df 100644
--- a/irspack/definitions.py
+++ b/irspack/definitions.py
@@ -1,4 +1,4 @@
-from typing import Any, List, Optional, Union
+from typing import Union
 
 import numpy as np
 from scipy import sparse as sps
diff --git a/irspack/optimizers/_optimizers.py b/irspack/optimizers/_optimizers.py
index 1f1ee08..c2424fc 100644
--- a/irspack/optimizers/_optimizers.py
+++ b/irspack/optimizers/_optimizers.py
@@ -1,5 +1,5 @@
 import logging
-from typing import Any, Dict, List, Optional, Type
+from typing import Any, Dict, List, Optional
 
 from irspack.definitions import InteractionMatrix
 
diff --git a/irspack/recommenders/__init__.py b/irspack/recommenders/__init__.py
index 1ad5299..747e125 100644
--- a/irspack/recommenders/__init__.py
+++ b/irspack/recommenders/__init__.py
@@ -5,7 +5,7 @@
 )
 from irspack.recommenders.base_earlystop import BaseRecommenderWithEarlyStopping
 from irspack.recommenders.dense_slim import DenseSLIMConfig, DenseSLIMRecommender
-from irspack.recommenders.edlae import EDLAERecommender
+from irspack.recommenders.edlae import EDLAEConfig, EDLAERecommender
 from irspack.recommenders.ials import IALSConfig, IALSRecommender
 from irspack.recommenders.knn import (
     AsymmetricCosineKNNConfig,
@@ -41,6 +41,8 @@
     "RP3betaRecommender",
     "DenseSLIMConfig",
     "DenseSLIMRecommender",
+    "EDLAERecommender",
+    "EDLAEConfig",
     "SLIMConfig",
     "SLIMRecommender",
     "IALSConfig",
diff --git a/irspack/recommenders/base.py b/irspack/recommenders/base.py
index df3c415..6ed26ed 100644
--- a/irspack/recommenders/base.py
+++ b/irspack/recommenders/base.py
@@ -1,5 +1,14 @@
 from abc import ABCMeta, abstractmethod
-from typing import TYPE_CHECKING, Any, Dict, Optional, Type, Union, no_type_check
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    Dict,
+    Optional,
+    Type,
+    TypeVar,
+    Union,
+    no_type_check,
+)
 
 import numpy as np
 from optuna.trial import Trial
@@ -16,6 +25,8 @@
     UserIndexArray,
 )
 
+R = TypeVar("R", bound="BaseRecommender")
+
 
 def _sparse_to_array(U: Any) -> np.ndarray:
     if sps.issparse(U):
@@ -78,15 +89,17 @@ def __init__(self, X_train_all: InteractionMatrix, **kwargs: Any) -> None:
 
     @classmethod
     def from_config(
-        cls, X_train_all: InteractionMatrix, config: RecommenderConfig
-    ) -> "BaseRecommender":
+        cls: Type[R],
+        X_train_all: InteractionMatrix,
+        config: RecommenderConfig,
+    ) -> R:
         if not isinstance(config, cls.config_class):
             raise ValueError(
                 f"Different config has been given. config must be {cls.config_class}"
             )
         return cls(X_train_all, **config.dict())
 
-    def learn(self) -> "BaseRecommender":
+    def learn(self: R) -> R:
         """Learns and returns itself.
 
         Returns:
@@ -245,7 +258,7 @@ def get_score_block(self, begin: int, end: int) -> DenseScoreArray:
         return _sparse_to_array(self.U[begin:end].dot(self._X_csc))
 
 
-class BaseRecommenderWithUserEmbedding(BaseRecommender):
+class BaseRecommenderWithUserEmbedding:
     """Defines a recommender with user embedding (e.g., matrix factorization.).
     These class can be a base CF estimator for CB2CF (with user profile -> user embedding NN).
     """
@@ -276,7 +289,7 @@ def get_score_from_user_embedding(
         raise NotImplementedError("get_score_from_item_embedding must be implemtented.")
 
 
-class BaseRecommenderWithItemEmbedding(BaseRecommender):
+class BaseRecommenderWithItemEmbedding:
     """Defines a recommender with item embedding (e.g., matrix factorization.).
     These class can be a base CF estimator for CB2CF (with item profile -> item embedding NN).
     """
diff --git a/irspack/recommenders/edlae.py b/irspack/recommenders/edlae.py
index b30738a..7cee0f2 100644
--- a/irspack/recommenders/edlae.py
+++ b/irspack/recommenders/edlae.py
@@ -1,7 +1,7 @@
 import gc
 
 import numpy as np
-from scipy import linalg, sparse
+from scipy import linalg
 
 from ..definitions import InteractionMatrix
 from .base import BaseSimilarityRecommender, RecommenderConfig
diff --git a/irspack/recommenders/truncsvd.py b/irspack/recommenders/truncsvd.py
index c5be827..58850a4 100644
--- a/irspack/recommenders/truncsvd.py
+++ b/irspack/recommenders/truncsvd.py
@@ -1,7 +1,6 @@
 import warnings
 from typing import Optional
 
-from numpy import random
 from sklearn.decomposition import TruncatedSVD
 
 from ..definitions import (
@@ -11,6 +10,7 @@
     UserIndexArray,
 )
 from .base import (
+    BaseRecommender,
     BaseRecommenderWithItemEmbedding,
     BaseRecommenderWithUserEmbedding,
     RecommenderConfig,
@@ -23,6 +23,7 @@ class TruncatedSVDConfig(RecommenderConfig):
 
 
 class TruncatedSVDRecommender(
+    BaseRecommender,
     BaseRecommenderWithUserEmbedding,
     BaseRecommenderWithItemEmbedding,
 ):
diff --git a/irspack/split/userwise.py b/irspack/split/userwise.py
index 7b10dea..591475e 100644
--- a/irspack/split/userwise.py
+++ b/irspack/split/userwise.py
@@ -2,7 +2,6 @@
 
 import numpy as np
 import pandas as pd
-from numpy.lib.arraysetops import unique
 from scipy import sparse as sps
 
 from irspack.definitions import InteractionMatrix, OptionalRandomState
diff --git a/pyproject.toml b/pyproject.toml
index 6796ae2..2d85b90 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,3 +13,6 @@ include_trailing_comma = true
 line_length = 88
 multi_line_output = 3
 use_parentheses = true
+
+[tool.pycln]
+all = true
diff --git a/tests/autopilot/mock_classes.py b/tests/autopilot/mock_classes.py
index ea13f83..9fd1472 100644
--- a/tests/autopilot/mock_classes.py
+++ b/tests/autopilot/mock_classes.py
@@ -1,6 +1,6 @@
 import pickle
 import time
-from typing import IO, Any, Dict, List, Optional
+from typing import IO, Any, Dict, List
 
 import numpy as np
 import scipy.sparse as sps
diff --git a/tests/utils/test_utils.py b/tests/utils/test_utils.py
index 3cca303..8741e6a 100644
--- a/tests/utils/test_utils.py
+++ b/tests/utils/test_utils.py
@@ -1,5 +1,3 @@
-import warnings
-
 import numpy as np
 import pytest
 import scipy.sparse as sps