Environment Preset
Check the environment preset information used in your project.

Yennefer는 프로젝트에 필요한 컨테이너를 제공합니다.
A CPU-only container with Python 3.8, 2.7, and R kernels. In addition, we also provide environments for machine learning frameworks such as Python 3.8 version Pytorch and tensorflow2.
It provides a stable version of R, R3.6, and provides a variety of visualization and data processing packages, including ggplot2, and dplyr.
It provides the latest version of R, R 4.2, and offers a variety of visualization and data processing packages, including ggplot2, and dplyr.
A CPU-only environment preset with a Python 3.8 kernel. Collaborate with two or more users in real time, including real-time collaboration (RTC) capabilities in Jupyterlab. CAUTION: This is an experimental feature that may cause data changes, so be sure to back up your data when using this feature.
A CPU-only container containing MATLAB, a programming and numerical analysis platform used for data analysis, algorithm development, and model generation. You can perform simple tasks using the CPU.

A GPU-only container with Python 3.8, 2.7, and R kernels. In addition, we also provide environments for machine learning frameworks such as Python 3.8 version Pytorch and tensorflow2.
An environment preset that includes MATLAB, a programming and numerical analysis platform used for data analysis, algorithm development, and model generation. Toolboxes for GPU are used and deep learning is installed for professional work.
Last modified 5mo ago