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How to install SparkAutoML via python pip




SparkAutoML - For an easy implementation of spark's machine learning library, it belongs to Classifiers:

- Development Status :: 1 - Planning
- Operating System :: Unix

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



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_SparkAutoML_env

- Active the virtual environment

test_SparkAutoML_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_SparkAutoML_env

- Active the virtual environment

source test_SparkAutoML_env/bin/active


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

To install SparkAutoML on Windows(CMD):

py -m pip install SparkAutoML

To install SparkAutoML on Unix/macOs:

pip install SparkAutoML


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

Example:

pip install SparkAutoML==0.0.2


Please see the version list below table:

VersionReleased dateCommand
SparkAutoML 0.0.152022-05-07T04:57:54Windows:

py -m pip install SparkAutoML==0.0.15

Unix/macOs:

pip install SparkAutoML==0.0.15

SparkAutoML 0.0.112022-04-17T22:02:42Windows:

py -m pip install SparkAutoML==0.0.11

Unix/macOs:

pip install SparkAutoML==0.0.11

SparkAutoML 0.0.102022-04-17T20:16:53Windows:

py -m pip install SparkAutoML==0.0.10

Unix/macOs:

pip install SparkAutoML==0.0.10

SparkAutoML 0.0.92022-04-17T19:39:02Windows:

py -m pip install SparkAutoML==0.0.9

Unix/macOs:

pip install SparkAutoML==0.0.9

SparkAutoML 0.0.82022-04-17T19:30:19Windows:

py -m pip install SparkAutoML==0.0.8

Unix/macOs:

pip install SparkAutoML==0.0.8

SparkAutoML 0.0.72022-04-16T15:18:34Windows:

py -m pip install SparkAutoML==0.0.7

Unix/macOs:

pip install SparkAutoML==0.0.7

SparkAutoML 0.0.62022-04-16T03:17:03Windows:

py -m pip install SparkAutoML==0.0.6

Unix/macOs:

pip install SparkAutoML==0.0.6

SparkAutoML 0.0.32022-04-12T02:36:24Windows:

py -m pip install SparkAutoML==0.0.3

Unix/macOs:

pip install SparkAutoML==0.0.3

SparkAutoML 0.0.22022-04-12T02:01:56Windows:

py -m pip install SparkAutoML==0.0.2

Unix/macOs:

pip install SparkAutoML==0.0.2


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

Download the distribution file from SparkAutoML-0.0.15.tar.gz or the specific SparkAutoML version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_SparkAutoML_downloaded_file>

On Unix/macOs:

pip install <path_to_SparkAutoML_downloaded_file>


List distribution:


Project link: