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How to install emeraldml via python pip




emeraldml - Accelerating machine learning during the exploratory phase, it belongs to Classifiers:

- License :: OSI Approved
- License :: OSI Approved :: MIT License
- Operating System :: OS Independent
- Programming Language :: Python :: 3

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



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_emeraldml_env

- Active the virtual environment

test_emeraldml_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_emeraldml_env

- Active the virtual environment

source test_emeraldml_env/bin/active


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

To install emeraldml on Windows(CMD):

py -m pip install emeraldml

To install emeraldml on Unix/macOs:

pip install emeraldml


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

Example:

pip install emeraldml==0.0.1


Please see the version list below table:

VersionReleased dateCommand
emeraldml 0.0.12021-09-26T20:49:38Windows:

py -m pip install emeraldml==0.0.1

Unix/macOs:

pip install emeraldml==0.0.1


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

Download the distribution file from emeraldml-0.0.1.tar.gz or the specific emeraldml version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_emeraldml_downloaded_file>

On Unix/macOs:

pip install <path_to_emeraldml_downloaded_file>


List distribution:

- emeraldml-0.0.1-py3-none-any.whl (python version >=3.7)
- emeraldml-0.0.1.tar.gz (python version >=3.7)


Project link:

- Homepage