minor edits

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revital 2024-08-29 11:56:29 +03:00
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@ -99,10 +99,8 @@ Launch The **ClearML Server** in any of the following formats:
- [Linux](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_linux_mac)
- [macOS](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_linux_mac)
- [Windows 10](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_win)
- Kubernetes
- [Kubernetes Helm](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_kubernetes_helm)
- Manual [Kubernetes installation](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_kubernetes)
- [Kubernetes Helm](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_kubernetes_helm)
## Connecting ClearML to your ClearML Server
In order to set up the **ClearML** client to work with your **ClearML Server**:
@ -120,11 +118,14 @@ In order to set up the **ClearML** client to work with your **ClearML Server**:
files_server: "http://localhost:8081"
}
**Note**: If you have set up your **ClearML Server** in a sub-domain configuration, then there is no need to specify a port number,
> [!NOTE]
>
> If you have set up your **ClearML Server** in a sub-domain configuration, then there is no need to specify a port number,
it will be inferred from the http/s scheme.
After launching the **ClearML Server** and configuring the **ClearML** client to use the **ClearML Server**,
you can [use](https://github.com/allegroai/clearml) **ClearML** in your experiments and view them in your **ClearML Server** web server,
After launching the ClearML Server and configuring the **ClearML** client to use the ClearML Server,
you can use [ClearML](https://github.com/allegroai/clearml) in your experiments and view them in your ClearML Server web server,
for example http://localhost:8080.
For more information about the ClearML client, see [**ClearML**](https://github.com/allegroai/clearml).
@ -145,7 +146,9 @@ Every task launched by ClearML-Agent Services will be registered as a new node
providing tracking and transparency capabilities.
You can also run the ClearML-Agent Services manually, see details in [ClearML-agent services mode](https://github.com/allegroai/clearml-agent#clearml-agent-services-mode-)
**Note**: It is the user's responsibility to make sure the proper tasks are pushed into the `services` queue.
> [!NOTE]
>
> It is the user's responsibility to make sure the proper tasks are pushed into the `services` queue.
Do not enqueue training / inference tasks into the `services` queue, as it will put unnecessary load on the server.
## Advanced Functionality
@ -224,7 +227,7 @@ To upgrade your existing **ClearML Server** deployment:
## Community & Support
If you have any questions, look to the ClearML [FAQ](https://clear.ml/docs/latest/docs/faq), or
If you have any questions, look at the ClearML [FAQ](https://clear.ml/docs/latest/docs/faq), or
tag your questions on [stackoverflow](https://stackoverflow.com/questions/tagged/clearml) with '**clearml**' tag.
For feature requests or bug reports, please use [GitHub issues](https://github.com/allegroai/clearml-server/issues).