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docs/faq.md
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docs/faq.md
@ -213,7 +213,7 @@ and [OutputModel](references/sdk/model_outputmodel.md) classes.
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<br/>
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**Models are not accessible the UI after I migrated ClearML Server to a new domain. How do I fix this?** <a id="migrate_server_models"></a>
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**Models are not accessible from the UI after I migrated ClearML Server to a new domain. How do I fix this?** <a id="migrate_server_models"></a>
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This can happen if your models were uploaded to the ClearML files server, since the value registered was their full URL
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at the time of registration (e.g. `https://files.<OLD_DOMAIN>/path/to/model`).
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@ -392,7 +392,7 @@ Conda and the [typing](https://pypi.org/project/typing/) package may have some c
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However, [since Python 3.5](https://docs.python.org/3.5/library/typing.html), the `typing` package is part of the standard library.
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To resolve the error, uninstall `typing` and rerun you script. If this does not fix the issue, create a [new ClearML issue](https://github.com/allegroai/clearml/issues/new), including the full error, and your environment details.
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To resolve the error, uninstall `typing` and rerun your script. If this does not fix the issue, create a [new ClearML issue](https://github.com/allegroai/clearml/issues/new), including the full error, and your environment details.
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<a id="delete_exp"></a>
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@ -713,7 +713,7 @@ Yes! You can run ClearML in Jupyter Notebooks using either of the following:
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**Option 2: Install ClearML in your Jupyter Notebook**
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1. In the ClearML Web UI > **Settings > Workspace** page, create credentials and copy your access key and secret key. These are required in the Step 3.
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1. In the ClearML Web UI > **Settings > Workspace** page, create credentials and copy your access key and secret key. These are required for Step 3.
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1. Install the ClearML Python Package.
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@ -733,7 +733,7 @@ Yes! You can run ClearML in Jupyter Notebooks using either of the following:
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1. You can now use ClearML.
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```python
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# create a task and start training
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task = Task.init('juptyer project', 'my notebook')
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task = Task.init('jupyter project', 'my notebook')
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```
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@ -884,7 +884,7 @@ on the "Configuring Your Own ClearML Server" page in the "Deploying ClearML" sec
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<br/>
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**Can I modify a non-responsive task settings?** <a id="watchdog"></a>
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**Can I modify non-responsive task settings?** <a id="watchdog"></a>
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The non-responsive experiment watchdog monitors experiments that were not updated for a specified time interval, and
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marks them as `aborted`. The watchdog is always active.
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@ -11,6 +11,8 @@ chosen metric over the project's iterations, as well as project GPU and worker u
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on failed Tasks via Slack integration.
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## Project Dashboard Instance Configuration
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* **Import Configuration** - Import an app instance configuration file. This will fill the configuration wizard with the
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values from the file, which can be modified before launching the app instance
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* **Monitored Project** - Name of the ClearML project to monitor
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* **Monitored Metric**
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* Monitored Metric - Title - Metric title to track
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@ -21,7 +23,9 @@ on failed Tasks via Slack integration.
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* API Token - Slack workspace access token
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* Channel Name - Slack channel to which task failure alerts will be posted
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* Fail Iteration Threshold - Minimum number of iterations to trigger Slack alerts about task failure (failed tasks that do not meet the threshold will be ignored)
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* **Export Configuration** - Export the app instance configuration as a JSON file, which you can later import to create
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a new instance with the same configuration.
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
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## Dashboard
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@ -98,7 +98,7 @@ to view:
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<br/>
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Click <img src="/docs/latest/icons/ico-max-panel.svg" alt="Expand" className="icon size-md space-sm" /> to on the content panel header to view the panel in full screen.
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Click <img src="/docs/latest/icons/ico-max-panel.svg" alt="Expand" className="icon size-md space-sm" /> on the content panel header to view the panel in full screen.
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## Dataset Actions
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The following table describes the actions that can be done from the dataset versions list.
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