Diagram
AttributeError: ‘RandomUnderSampler’ object has no attribute ‘fit_resample’ error occurs because you are using an “older version of imbalanced-learn”. The “fit_resample” attribute was introduced in version 0.8 of the imbalanced-learn library, but you are using an older version.
How to fix it?
To fix the AttributeError: ‘RandomUnderSampler’ object has no attribute ‘fit_resample’ error, “upgrade the imbalanced-learn package.”
pip install --upgrade imbalanced-learn
Once you have updated your version of the imbalanced-learn library, you should be able to use the “fit_resample” attribute without errors.
Here is a table of the versions of the imbalanced-learn library that support the “fit_resample” attribute:
| Version | Support for “fit_resample()” |
|---|---|
| 0.8 and higher | Yes |
| 0.7 and lower | No |
I hope this helps! Let me know if you have any other questions.
Related posts
AttributeError: ‘SMOTE’ object has no attribute ‘fit_sample’
AttributeError: ‘Simple_Imputer’ object has no attribute ‘fill_value_categorical’
AttributeError: ‘Pipeline’ object has no attribute ‘fit_resample’
Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Python language stands as a testament to his versatility and commitment to the craft.
