modulenotfounderror: no module named 'sklearn.ensemble.gradient

modulenotfounderror: no module named ‘sklearn.ensemble.gradient_boosting‘ error is because of incorrect syntax (from sklearn.ensemble import GradientBoostingClassifier) . Sometimes it is also because of the incompatibility of sklearn module. In This article, we will understand the root cause and the easiest way to fix this error (no module named ‘sklearn.ensemble.gradient_boosting’). So let’s start.

modulenotfounderror: no module named ‘sklearn.ensemble.gradient_boosting’ ( Root Cause and Fix)-

As I mentioned you the one reason is syntax. Another is package internal code change. Therefore, let’s address them.

Solution 1: ( Syntax Problem )-

Actually, the wrong syntax is –

import sklearn.ensemble.gradient_boosting

The correct syntax is –

import sklearn.ensemble.GradientBoostingClassifier

If that is causing an error in your code you can correct the same. If it is not a direct import, I mean any of the libraries is internally calling this package. Please refer to the second solution.

Solution 2: ( Incompatibility issue )-

If you are not directly importing this GradientBoosting package. It is difficult to trace the place of the error. But do not worry, One quick solution is upgrading this scikit-learn package. Here is the syntax for the same.

pip install scikit-learn

It will upgrade and install the scikit-learn to the latest stable version. Please close all the command prompt and re-run the complete code. If the error still persists, please go for this stable version for this.

pip install -U scikit-learn==0.21.3

Actually, there are multiple libraries that internally invoke this library. For example face_detector package. it internally involves the above package ( Gradient Boosting ) and code. This is just an example in the similar way it can be multiple.

Conclusion –

Most importantly, there are multiple identical modulenotfounderrors like the above. For example, No module name ‘sklearn.ensemble.forest’. The solution for this error is almost identical to the above error. Firstly, If you understand the foundation for this error You can fix a similar error without any further reference. Hope you are clear with the solution.

Thanks

Data Science Learner Team