I am using databricks runtime 9.1 LTS ML and I got this error when I tried to import Scikit Learn package. I got the following error message:
TypeError                                 Traceback (most recent call last)
<command-181041> in <module>
      1 # Scikit Learn ML Library
----> 2 from sklearn.metrics import *
      3 from sklearn.preprocessing import LabelEncoder
      4 from sklearn.preprocessing import MinMaxScaler, StandardScaler, PowerTransformer
      5 from sklearn.model_selection import train_test_split, TimeSeriesSplit
 
/databricks/python_shell/dbruntime/PythonPackageImportsInstrumentation/__init__.py in import_patch(name, globals, locals, fromlist, level)
    156             # Import the desired module. If you're seeing this while debugging a failed import,
    157             # look at preceding stack frames for relevant error information.
--> 158             original_result = python_builtin_import(name, globals, locals, fromlist, level)
    159 
    160             is_root_import = thread_local._nest_level == 1
 
/usr/lib/python3.8/importlib/_bootstrap.py in _find_and_load(name, import_)
 
/usr/lib/python3.8/importlib/_bootstrap.py in _find_and_load_unlocked(name, import_)
 
/usr/lib/python3.8/importlib/_bootstrap.py in _load_unlocked(spec)
 
/usr/lib/python3.8/importlib/_bootstrap.py in _load_backward_compatible(spec)
 
/databricks/python_shell/dbruntime/PostImportHook.py in load_module(self, fullname)
    214     def load_module(self, fullname):
    215         try:
--> 216             module = self.loader.load_module(fullname)
    217             notify_module_loaded(module)
    218         except (ImportError, AttributeError):
 
/databricks/python/lib/python3.8/site-packages/sklearn/__init__.py in <module>
     62 else:
     63     from . import __check_build
---> 64     from .base import clone
     65     from .utils._show_versions import show_versions
     66 
 
/databricks/python_shell/dbruntime/PythonPackageImportsInstrumentation/__init__.py in import_patch(name, globals, locals, fromlist, level)
    156             # Import the desired module. If you're seeing this while debugging a failed import,
    157             # look at preceding stack frames for relevant error information.
--> 158             original_result = python_builtin_import(name, globals, locals, fromlist, level)
    159 
    160             is_root_import = thread_local._nest_level == 1
.....
....
....
/databricks/python/lib/python3.8/site-packages/sklearn/externals/joblib/externals/cloudpickle/__init__.py in <module>
      1 from __future__ import absolute_import
      2 
----> 3 from .cloudpickle import *
      4 
      5 __version__ = '0.8.0'
 
/databricks/python_shell/dbruntime/PythonPackageImportsInstrumentation/__init__.py in import_patch(name, globals, locals, fromlist, level)
    156             # Import the desired module. If you're seeing this while debugging a failed import,
    157             # look at preceding stack frames for relevant error information.
--> 158             original_result = python_builtin_import(name, globals, locals, fromlist, level)
    159 
    160             is_root_import = thread_local._nest_level == 1
 
/databricks/python/lib/python3.8/site-packages/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py in <module>
    150 
    151 
--> 152 _cell_set_template_code = _make_cell_set_template_code()
    153 
    154 
 
/databricks/python/lib/python3.8/site-packages/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py in _make_cell_set_template_code()
    131         )
    132     else:
--> 133         return types.CodeType(
    134             co.co_argcount,
    135             co.co_kwonlyargcount,
 
TypeError: an integer is required (got type bytes)