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How to install mmlf via python pip




mmlf - The Maja Machine Learning Framework, it belongs to Classifiers:

- Environment :: X11 Applications
- Environment :: X11 Applications :: Qt
- Intended Audience :: Education
- License :: OSI Approved :: GNU General Public License (GPL)
- Topic :: Scientific/Engineering :: Artificial Intelligence

When you know about this project and you want to new install mmlf to support your project or you get trouble as ModuleNotFoundError: No module named "mmlf" or ImportError: cannot import name "mmlf" in your project, let follow this tutorial to install mmlf



Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

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 virtual environment:

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_mmlf_env

- Active the virtual environment

test_mmlf_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_mmlf_env

- Active the virtual environment

source test_mmlf_env/bin/active


Step 2: OK, now, let flow below content to start the installation mmlf

To install mmlf on Windows(CMD):

py -m pip install mmlf

To install mmlf on Unix/macOs:

pip install mmlf


Step 3: If you want to install a specific mmlf version, add ==<mmlf version> to the end command line

Example:

pip install mmlf==1.0


Please see the version list below table:

VersionReleased dateCommand
mmlf 1.02011-05-10T10:02:11Windows:

py -m pip install mmlf==1.0

Unix/macOs:

pip install mmlf==1.0


Step 4: Otherwise, you can install mmlf from local archives:

Download the distribution file from mmlf-1.0.zip or the specific mmlf version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_mmlf_downloaded_file>

On Unix/macOs:

pip install <path_to_mmlf_downloaded_file>


List distribution:

- mmlf-1.0.zip


Project link:

- Homepage
- Download