In this guide, we will explore the steps to resolve the
ModuleNotFoundError - No module named 'imblearn' error in Python. The
imbalanced-learn library, commonly known as
imblearn, is a popular Python package that provides various techniques for dealing with imbalanced datasets. If you encounter this error, it usually means that the
imblearn package is not installed or not properly recognized by your Python environment.
Table of Contents
- Step 1: Verify Python and Pip
- Step 2: Install Imbalanced-Learn
- Step 3: Verify the Installation
- Step 4: Check Your Python Environment
Before proceeding, ensure that you have the following installed on your system:
- Python 3.6 or higher
- Pip (Python package manager)
Step 1: Verify Python and Pip
First, confirm that Python and Pip are correctly installed and available in your system's PATH. Open a terminal or command prompt and run the following commands:
python --version pip --version
Step 2: Install Imbalanced-Learn
To install the
imbalanced-learn package, run the following command:
pip install imbalanced-learn
This command should successfully install
imbalanced-learn in your Python environment. If you encounter any issues, refer to the package's official installation guide.
Step 3: Verify the Installation
To confirm that
imbalanced-learn is installed correctly, open a Python interpreter and run the following commands:
import imblearn print(imblearn.__version__)
These commands should output the version number of the installed
imbalanced-learn package. If you still encounter the
ModuleNotFoundError, proceed to the next step.
Step 4: Check Your Python Environment
If you are still experiencing the
ModuleNotFoundError, verify that you are using the correct Python environment. If you have multiple Python installations or virtual environments, it's possible that
imbalanced-learn was installed in a different environment.
where pythonon Windows) to find the active Python executable's location.
- Compare the output with the location of the Python environment where
- If necessary, activate the correct Python environment or install
imbalanced-learnin the desired environment.
Q1: Can I use
imbalanced-learn with Python 2?
imbalanced-learn no longer supports Python 2. It is recommended to use Python 3.6 or higher. For more information, refer to the
imbalanced-learn installation guide.
Q2: How do I check if
imbalanced-learn is already installed in my Python environment?
You can check the installed packages in your Python environment using the following command:
imbalanced-learn in the output list.
Q3: Can I use
imbalanced-learn with other machine learning libraries, such as scikit-learn?
imbalanced-learn is compatible with scikit-learn and other popular machine learning libraries. In fact,
imbalanced-learn is built on top of scikit-learn and follows a similar API.
Q4: Can I install a specific version of
Yes, you can install a specific version of
imbalanced-learn using the following command:
pip install imbalanced-learn==<version>
<version> with the desired version number.
Q5: I still cannot resolve the
ModuleNotFoundError. What should I do?
If you have followed all the steps and still encounter the error, consider seeking help from the
imbalanced-learn GitHub repository or the Python community. Provide as much information as possible about your system and the steps you have already taken to resolve the issue.