clearml-server | Magical Suite of tools to streamline your ML workflow | Machine Learning library
kandi X-RAY | clearml-server Summary
kandi X-RAY | clearml-server Summary
The ClearML Server is the backend service infrastructure for ClearML. It allows multiple users to collaborate and manage their experiments. ClearML offers a free hosted service, which is maintained by ClearML and open to anyone. In order to host your own server, you will need to launch the ClearML Server and point ClearML to it.
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Top functions reviewed by kandi - BETA
- Gets task_metric events
- Context manager to translate errors
- Handle bulk errors
- Process bulk meta error
- Return a list of objects that match the query
- Get collation override for a given field
- Get all fields with instance
- Determine if a query field exists for a given order
- Get the metrics for the task
- Edit a task
- Delete fileserver URLs
- Merges a project into a single project
- Update a batch
- Move a project to another
- Get metrics for a specific metric
- Batch delete operation
- Get all projects
- Update task statistics
- Parse projection field
- Download task logs
- Run before the request
- Handle a single call
- Start all migrations
- Get task events
- Validate credentials
- Export to a zip file
clearml-server Key Features
clearml-server Examples and Code Snippets
Community Discussions
Trending Discussions on clearml-server
QUESTION
Trying to use clearml-server on own Ubuntu 18.04.5 with SSH Port Forwarding and not beeing able to see my debug samples.
My setup:
- ClearML server on hostA
- SSH Tunnel connections to access Web App from working machine via localhost:18080
- Web App:
ssh -N -L 18081:127.0.0.1:8081 user@hostA
- Fileserver:
ssh -N -L 18081:127.0.0.1:8081 user@hostA
In Web App under Task->Results->Debug Samples the Images are still refrenced by localhost:8081
Where can I set the fileserver URL to be localhost:18081 in Web App? I tried ~/clearml.conf, but this did not work ( I think it is for my python script ).
...ANSWER
Answered 2021-Jan-11 at 18:39Disclaimer: I'm a member of the ClearML team (formerly Trains)
In ClearML, debug images' URL is registered once they are uploaded to the fileserver. The WebApp doesn't actually decide on the URL for each debug image, but rather obtains it for each debug image from the server. This allows you to potentially upload debug images to a variety of storage targets, ClearML File Server simply being the most convenient, built-in option.
So, the WebApp will always look for localhost:8008
for debug images that have already been uploaded to the fileserver and contain localhost:8080
in their URL.
A possible solution is to simply add another tunnel in the form of ssh -N -L 8081:127.0.0.1:8081 user@hostA
.
For future experiments, you can choose to keep using 8081
(and keep using this new tunnel), or to change the default fileserver URL in clearml.conf
to point to port localhost:18081
, assuming you're running your experiments from the same machine where the tunnel to 18081
exists.
QUESTION
Trying to use clearml-server on own Ubuntu 18.04.5.
I use env variables to set the IP Address of my clearml-server.
...ANSWER
Answered 2021-Jan-10 at 18:24Disclaimer: I'm a ClearML (Trains) team member
Basically the docker-compose will expose only the API/Web/File server , you can further limit the exposure to your localhost only, by changing the following section in your ClearML server docker-compose.yml
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install clearml-server
You can use clearml-server like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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