trains-server

Overview

Features

Release categoryGenerally Available

Exposed ports8008/tcp, 8080/tcp, 8081/tcp

Privilege modeUnprivileged

User1000

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Description

The Allegro Trains is a full system open source ML / DL experiment manager, versioning and ML-Ops solution. It is composed of a Python SDK, server, Web UI, and execution agents. Allegro Trains enables data scientists and data engineers to effortlessly track, manage, compare, and collaborate on their experiments as well as easily manage their training workloads on remote machines. Allegro Trains is designed for effortless integration so that teams can preserve their existing methods and practices. Use it on a daily basis to boost collaboration and visibility, or use it to automatically collect your experimentation logs, outputs, and data to one centralized server.

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Specifications

Image specifications

The following information was extracted from the dockerfile and other sources.

Canonical image ID	trains-server
Summary	The Allegro Trains is a full system open source ML / DL experiment manager, versioning and ML-Ops solution. It is composed of a Python SDK, server, Web UI, and execution agents. Allegro Trains enables data scientists and data engineers to effortlessly track, manage, compare, and collaborate on their experiments as well as easily manage their training workloads on remote machines. Allegro Trains is designed for effortless integration so that teams can preserve their existing methods and practices. Use it on a daily basis to boost collaboration and visibility, or use it to automatically collect your experimentation logs, outputs, and data to one centralized server.
Description	Python 3.6 available as container is a base platform for building and running various Python 3.6 applications and frameworks. Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.
Provider	allegroai
Maintainer	SoftwareCollections.org <sclorg@redhat.com>
Repository name	trains-server
Image version	0.15.1
Architecture	amd64
Usage	s2i build https://github.com/sclorg/s2i-python-container.git --context-dir=3.6/test/setup-test-app/ rhscl/python-36-rhel7 python-sample-app
Exposed ports	"8008/tcp","8080/tcp","8081/tcp"
User	1000
Working directory	/opt/app-root/src

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Image identifiers

Manifest List Digest Recommended

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Description

Image specifications

The following information was extracted from the dockerfile and other sources.

Canonical image ID	trains-server
Summary	The Allegro Trains is a full system open source ML / DL experiment manager, versioning and ML-Ops solution. It is composed of a Python SDK, server, Web UI, and execution agents. Allegro Trains enables data scientists and data engineers to effortlessly track, manage, compare, and collaborate on their experiments as well as easily manage their training workloads on remote machines. Allegro Trains is designed for effortless integration so that teams can preserve their existing methods and practices. Use it on a daily basis to boost collaboration and visibility, or use it to automatically collect your experimentation logs, outputs, and data to one centralized server.
Description	Python 3.6 available as container is a base platform for building and running various Python 3.6 applications and frameworks. Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.
Provider	allegroai
Maintainer	SoftwareCollections.org <sclorg@redhat.com>
Repository name	trains-server
Image version	0.15.1
Architecture	amd64
Usage	s2i build https://github.com/sclorg/s2i-python-container.git --context-dir=3.6/test/setup-test-app/ rhscl/python-36-rhel7 python-sample-app
Exposed ports	"8008/tcp","8080/tcp","8081/tcp"
User	1000
Working directory	/opt/app-root/src

Registry tokens

Using Podman login

Image identifiers

Manifest List Digest Recommended

Use this digest to pull the image on any supported architecture. It automatically selects the correct image for your system.

Image Digest

Unique identifier for this specific architecture's build. Use only if you need to pin exactly to this specific platform.

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Using Podman login

Image identifiers

Manifest List Digest Recommended

Use this digest to pull the image on any supported architecture. It automatically selects the correct image for your system.

Image Digest

Unique identifier for this specific architecture's build. Use only if you need to pin exactly to this specific platform.

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trains-server

Features

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Description

Type

Stream

Size

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Category

Image specifications

Registry tokens

Using Podman login

Image identifiers

Using Podman login

Image identifiers