- Intended Audience :: Education
- Operating System :: Microsoft
- Operating System :: Microsoft :: Windows
- Operating System :: Microsoft :: Windows :: Windows 10
When you know about this project and you want to new install PolynomialRegression to support your project or you get trouble as ModuleNotFoundError: No module named "PolynomialRegression" or ImportError: cannot import name "PolynomialRegression" in your project, let follow this tutorial to install PolynomialRegression
In Windows (CMD):
py -m pip --version
In Unix/macOS:
python3 -m pip --version
Ensure pip, setuptools, and wheel are up to date:
In Windows (CMD):
py -m pip install --upgrade pip setuptools wheel
In Unix/macOS:
python3 -m pip install --upgrade pip setuptools wheel
Optional - If you want to install
In Windows (CMD):
- Install virtualenv - if you installed it, please ignore
py -m pip install --user virtualenv
- Create a virtual environment
py -m venv test_PolynomialRegression_env
- Active the virtual environment
test_PolynomialRegression_env\Scripts\active
In Unix/macOS:
- Install virtualenv - if you installed it, please ignore
pip3 install virtualenv
- Create a virtual environment
python3 -m venv test_PolynomialRegression_env
- Active the virtual environment
source test_PolynomialRegression_env/bin/active
To install PolynomialRegression on Windows(CMD):
py -m pip install PolynomialRegression
To install PolynomialRegression on Unix/macOs:
pip install PolynomialRegression
Example:
pip install PolynomialRegression==0.0.1
Please see the version list below table:
Version | Released date | Command |
---|---|---|
PolynomialRegression 0.0.1 | 2021-12-16T16:52:42 | Windows: Unix/macOs:
|
Download the distribution file from PolynomialRegression-0.0.1.tar.gz or the specific PolynomialRegression version in the below list of distribution
After that, install by command:
On Windows(CMD):
py -m pip install <path_to_PolynomialRegression_downloaded_file>
On Unix/macOs:
pip install <path_to_PolynomialRegression_downloaded_file>
List distribution:
Project link: