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)
