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@ -6,7 +6,7 @@ title: Version 0.16
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:::
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### Trains-Agent 0.16.2
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### Trains Agent 0.16.2
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**Features**
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@ -2,7 +2,7 @@
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title: Version 0.17
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---
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## ClearML Agent 0.17.2
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### ClearML Agent 0.17.2
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**Features**
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@ -4,7 +4,7 @@ title: Version 1.1
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### ClearML Agent 1.1.2
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**Bug Fixes**
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**Bug Fix**
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- Fix the `six` conflict with the new `pathlib2` version 2.3.7 and up.
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@ -32,7 +32,7 @@ those matching these filters to be used when running containers
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### ClearML Agent 1.9.1
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**New Features and Improvements**
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**New Feature**
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* Add default pip version support for Python 3.12
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### ClearML Agent 1.9.0
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@ -23,7 +23,7 @@ title: Version 3.20
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### Enterprise Server 3.20.1
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**New Features and Improvements**
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**New Feature**
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* Add support for serving UI from a subpath
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**Bug Fixes**
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@ -2,7 +2,7 @@
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title: Version 0.17
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---
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## ClearML 0.17.5
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### ClearML 0.17.5
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**Features**
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@ -135,14 +135,14 @@ title: Version 0.17
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### ClearML 0.17.2
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**Bug Fixes**
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**Bug Fix**
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* Fix broken `clearml-task` CLI.
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### ClearML 0.17.1
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**Bug Fixes**
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**Bug Fix**
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* `clearml-task` CLI link fixed.
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@ -156,7 +156,7 @@ title: Version 0.17
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* Add `clearml-task` CLI for creating (importing) code into **ClearML** (see <a href="https://github.com/allegroai/clearml/blob/master/docs/clearml-task.md">details</a>).
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* Add `Task.create`, which supports importing a code / repository into **ClearML**, including remote execution with `clearml-agent`.
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**Bug Fixes**
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**Bug Fix**
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* PyJWT v2.0 breaks the interface.
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@ -95,13 +95,13 @@ title: Version 1.0
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### ClearML 1.0.2
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**Bug Fixes**
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**Bug Fix**
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- Fix in rare scenarios process stuck on exit, again :)
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### ClearML 1.0.1
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**Bug Fixes**
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**Bug Fix**
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- Fix in rare scenarios process stuck on exit
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@ -20,7 +20,7 @@ the Pipeline DAG at runtime (as opposed to adhering to the existing structure st
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* Raise error if dataset name is empty ([ClearML GitHub PR #1083](https://github.com/allegroai/clearml/pull/1083))
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* Add support for `spawn` start method for Python `multiprocess`. This should help circumvent issues like [this](https://github.com/python/cpython/issues/84559).
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**Bug Fixes**
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**Bug Fix**
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* Fix S3 uploads fail with `LazyEvalWrapper` type error ([ClearML GitHub issue #1081](https://github.com/allegroai/clearml/issues/1081))
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### ClearML 1.12.0
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@ -41,7 +41,7 @@ title: Version 1.14
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### ClearML 1.14.1
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**Bug Fixes**
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**Bug Fix**
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* Fix created pipelines do not appear in the UI pipelines section
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### ClearML 1.14.0
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@ -4,7 +4,7 @@ title: Version 1.2
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### ClearML 1.2.1
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**Bug Fixes**
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**Bug Fix**
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- Fix HTTP download fails constructing URL ([ClearML GitHub issue #593](https://github.com/allegroai/clearml/issues/593))
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@ -4,7 +4,7 @@ title: Version 1.4
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### ClearML 1.4.1
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**Bug Fixes**
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**Bug Fix**
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* Fix Process Pool hangs at exit ([ClearML GitHub issue #674](https://github.com/allegroai/clearml/issues/674))
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### ClearML 1.4.0
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@ -27,7 +27,7 @@ title: Version 1.7
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### ClearML 1.7.1
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**New Features and Improvements**
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**New Feature**
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* Add callback option for pipeline step retry
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**Bug Fixes**
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@ -169,7 +169,7 @@ The user group table lists all the active user groups. Each row includes a group
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1. Click **+ ADD GROUP**
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1. In the dialog, add a group name and description
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1. Add members to the group. When clicking the input box, a list of workspace members appears, from which group members
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can be selected. Filter the list by typing part of the username. To remove a member, Hover over a user's row and click
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can be selected. Filter the list by typing part of the username. To remove a member, hover over a user's row and click
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the <img src="/docs/latest/icons/ico-trash.svg" alt="Trash can" className="icon size-md" /> button
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1. Click **SAVE**
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@ -47,7 +47,8 @@ value. Click the point to go to the experiment's details page.
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## Project Description
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Every project has a `description` field. The UI provides a Markdown editor to edit this field.
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Every project has a `description` field. The UI provides a Markdown editor to edit this field. For a quick reference for
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the MarkDown syntax that can be used, see [Markdown Formatting Quick Guide](webapp_reports.md#markdown-formatting-quick-guide).
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In the Markdown document, you can write and share reports and add links to ClearML experiments
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or any network resource such as issue tracker, web repository, etc.
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