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docs/faq.md
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@ -87,7 +87,7 @@ title: FAQ
* [How do I configure ClearML Server for subdomains and load balancers?](#subdomains) * [How do I configure ClearML Server for subdomains and load balancers?](#subdomains)
* [Can I add web login authentication to ClearML Server?](#web-auth) * [Can I add web login authentication to ClearML Server?](#web-auth)
* [Can I modify a non-responsive task settings?](#watchdog) * [Can I modify non-responsive task settings?](#watchdog)
**ClearML Server Troubleshooting** **ClearML Server Troubleshooting**
@ -432,7 +432,11 @@ client.tasks.delete(task='123456789')
**Can I change the random seed my experiment uses?** **Can I change the random seed my experiment uses?**
Yes! By default, ClearML initializes Tasks with a default seed. You change that seed by calling the [make_deterministic](https://github.com/allegroai/clearml/blob/2f5b519cd8c4df9d3db397604f5b8097c23ccc40/trains/utilities/seed.py) method. Yes! By default, ClearML initializes Tasks with an initial seed of `1337` to ensure reproducibility. To set a different
value for your task, use the [`Task.set_random_seed`](references/sdk/task.md#taskset_random_seed) class method and
provide the new seed value, **before initializing the task**.
You can disable the deterministic behavior entirely by passing `Task.set_random_seed(None)`.
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docs/release_notes/ver_1_7.md
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@ -31,4 +31,4 @@ title: Version 1.7
* Fix table reporting - when using `logger.report_table(title, series, iteration, etc)`, the `series` arg does not appear in UI [ClearML GitHub issue 684](https://github.com/allegroai/clearml/issues/684) * Fix table reporting - when using `logger.report_table(title, series, iteration, etc)`, the `series` arg does not appear in UI [ClearML GitHub issue 684](https://github.com/allegroai/clearml/issues/684)
* Fix artifacts (and models) use task's original name and not new name * Fix artifacts (and models) use task's original name and not new name
* Fix very long filenames from s3 can't be downloaded (with `get_local_copy()`) * Fix very long filenames from s3 can't be downloaded (with `get_local_copy()`)
* Fix overwrite of existing output models on pipeline task with `monitor_models` [ClearML GitHub issue #758](https://github.com/allegroai/clearml/issues/758) * Fix overwrite of existing output models on pipeline task with `monitor_models` [ClearML GitHub issue #757](https://github.com/allegroai/clearml/issues/757)