lightautoml-gpu

v0.2.15

Fast and customizable framework for automatic ML model creation (AutoML) For more information about how to use this package see README

Latest version published 1 year ago

License: Apache-2.0

PyPI

GitHub

Package Health Score

54 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Sustainable

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39

Popularity

Small

GitHub Stars: 893
Forks: 92
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package lightautoml-gpu, we found that it has been starred 893 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 3, 2023
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Inactive

archived

Commit Frequency

No Recent Commits

Open Issues: 4
Open PR: 2
Last Release: 1 year ago
Last Commit: 3 years ago

Further analysis of the maintenance status of lightautoml-gpu based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for lightautoml-gpu is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the lightautoml-gpu repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like lightautoml-gpu is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.6.1,<4.0.0

Age: 1 year
Latest Release: 1 year ago
Dependencies: 30 Direct
Versions: 1
Maintainers: 1
Wheels: OS Independent

Readme

Developing LightAutoML on GPU

To develop LightAutoML on GPUs using RAPIDS some prerequisites need to be met:

NVIDIA GPU: Pascal or higher
CUDA 11.0 (drivers v460.32+) or higher need to be installed
Python version 3.8 or higher
OS: Ubuntu 16.04/18.04/20.04 or CentOS 7/8 with gcc/++ 9.0+

Installation

Anaconda or Miniconda is necessary to install RAPIDS and work with environments.

Once you install Anaconda/Miniconda, you need to set up your own environment. For example:

conda create -n lama_venv python=3.8
conda activate lama_venv

To install RAPIDS for Python 3.8 and CUDA 11.0 use the following command:

conda install -c rapidsai -c nvidia -c conda-forge rapids=22.10 cudatoolkit=11.0
pip install dask-ml

To clone the project on your own local machine:

git clone https://github.com/ekonyagin/LightAutoML-1.git
cd LightAutoML-1

Install LightAutoML in develop mode and other necessary libraries:

pip install .
pip install catboost
pip install py-boost

After you change the library code, you need to re-install the library: go to LightAutoML directory and call pip install ./ -U

Please note, if you use NVIDIA GPU Ampere architecture (i.e. Tesla A100 or RTX3000 series), you may need to uninstall pytorch and install it manually due to compatibility issues. To do so, run following commands:

pip uninstall torch torchvision
pip install torch==1.7.1+cu110 torchvision==0.8.2+cu110 -f https://download.pytorch.org/whl/torch_stable.html

Once the RAPIDS is installed, the environment is fully ready. You can activate it using the source command and test and implement your own code.

FAQs

What is lightautoml-gpu?

Fast and customizable framework for automatic ML model creation (AutoML). Visit Snyk Advisor to see a full health score report for lightautoml-gpu, including popularity, security, maintenance & community analysis.

Is lightautoml-gpu popular?

The python package lightautoml-gpu receives a total of 24 weekly downloads. As such, lightautoml-gpu popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is lightautoml-gpu well maintained?

We found indications that lightautoml-gpu is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is lightautoml-gpu safe to use?

The python package lightautoml-gpu was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 7 November-2024, at 15:56 (UTC).

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lightautoml-gpu

Fast and customizable framework for automatic ML model creation (AutoML) For more information about how to use this package see README

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Readme

Developing LightAutoML on GPU

Installation

lightautoml-gpu dependencies

FAQs

What is lightautoml-gpu?

Is lightautoml-gpu popular?

Is lightautoml-gpu well maintained?

Is lightautoml-gpu safe to use?

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Readme

Developing LightAutoML on GPU

Installation

lightautoml-gpu dependencies

FAQs

What is lightautoml-gpu?

Is lightautoml-gpu popular?

Is lightautoml-gpu well maintained?

Is lightautoml-gpu safe to use?

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Source Code

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