Understanding the Error
The Issue
The error “ImportError: dlopen failed: “../sklearn/…/__check_build.so is” is 64-bit instead of 32-bit” occurs when trying to run a Kivy application. This signals an incompatibility between the architecture of your Python installation and the architecture of the Scikit-learn library (or any other library exhibiting the same error).
Cause
This arises from the following mismatch:
- Your Python Installation: You are using a 32-bit version of Python.
- The Library (e.g., Scikit-learn): The library you are trying to import (Scikit-learn in this case) was compiled for a 64-bit system.
Resolutions
1. Install the Correct Python Version
The most straightforward solution is to use a 64-bit version of Python if your operating system supports it. This should align your Python environment with the libraries you intend to use.
2. Reinstall Libraries in Matching Architecture
If you need to retain a 32-bit Python installation, you should ensure that the libraries you install (Scikit-learn, NumPy, etc.) are also compiled for a 32-bit environment. Reinstall them using the appropriate package manager or wheels designed for 32-bit systems.
3. Cross-Compiling Libraries (Advanced)
For advanced users, you might attempt cross-compiling libraries for a 32-bit environment even if you’re running a 64-bit system. This is a complex process that requires careful configuration and may not always be successful. It’s generally recommended to choose the first two solutions whenever possible.
Illustrative Example
Using `pip` for Installation
The following demonstrates how to install Scikit-learn for a 32-bit Python environment:
pip install scikit-learn --target=/site-packages
Output Example
In this case, if the libraries are correctly installed, you shouldn’t see the error on your next program execution. If you still get the error, double-check the versions and architecture of the libraries you are using.