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@ -25,7 +25,7 @@ of the optimization results in table and graph forms.
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|Name | Description| Optional |
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|`--project-name`|Name of the project in which the optimization task will be created. If the project does not exist, it is created. If unspecified, the repository name is used.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--task-name`|The name of optimization task. If unspecified, the base Python script's file name is used.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--task-name`|Name of the optimization task. If unspecified, the base Python script's file name is used.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--task-id`|ID of an existing ClearML task whose hyperparameters will be optimized. Required unless `--script` is specified.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--script`|Script to run the parameter search on. Required unless `--task-id` is specified.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--queue`|Queue to enqueue the experiments on.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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@ -2,11 +2,12 @@
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title: ClearML Modules
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---
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- **ClearML Python Package** (clearml) for integrating ClearML into your existing code-base.
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- **ClearML Server** (clearml-server) storing experiment, model, and workflow data, and supporting the Web UI experiment manager. It is also the control plane for the MLOps.
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- **ClearML Agent** (clearml-agent) The MLOps orchestration agent. Enabling experiment and workflow reproducibility, and scalability.
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- **ClearML Data** (clearml-data) data management and versioning on top of file-systems/object-storage.
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- **ClearML Session** (clearml-session) Launch remote instances of Jupyter Notebooks and VSCode.
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- [**ClearML Python Package**](../getting_started/ds/ds_first_steps.md#install-clearml) (`clearml`) for integrating ClearML into your existing code-base.
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- [**ClearML Server**](../deploying_clearml/clearml_server.md) (`clearml-server`) for storing experiment, model, and workflow data, and supporting the Web UI experiment manager. It is also the control plane for the MLOps.
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- [**ClearML Agent**](../clearml_agent.md) (`clearml-agent`), the MLOps orchestration agent. Enabling experiment and workflow reproducibility, and scalability.
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- [**ClearML Data**](../clearml_data/clearml_data.md) (`clearml-data`) data management and versioning on top of file-systems/object-storage.
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- [**ClearML Serving**](../clearml_serving/clearml_serving.md) (`clearml-serving`) for model deployment and orchestration.
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- [**ClearML Session**](../apps/clearml_session.md) (`clearml-session`) for launching remote instances of Jupyter Notebooks and VSCode.
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Solutions combined with the clearml-server control plane.
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![clearml architecture](../img/clearml_architecture.png)
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@ -61,7 +61,7 @@ new_dataset.tags = ['latest']
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We passed the `parents` argument when we created v2 of the Dataset, which inherits all the parent's version content.
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This not only helps trace back dataset changes with full genealogy, but also makes our storage more efficient,
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since it only store the changed and / or added files from the parent versions.
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since it only stores the changed and / or added files from the parent versions.
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When we access the Dataset, it automatically merges the files from all parent versions
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in a fully automatic and transparent process, as if the files were always part of the requested Dataset.
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@ -119,7 +119,7 @@ clearml-serving module --id <serving_session_id> add --preprocess /path/to/prepr
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**Bug Fixes**
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* Fix `TriggerScheduler` on Dataset change [ClearML GitHub issue #491](https://github.com/allegroai/clearml/issues/491)
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* Fix links in Jupyter Notebooks [ClearML GitHub issue #505](https://github.com/allegroai/clearml/issues/505)
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* Fix `pandas` delta datetime conversion [ClearML GitHub issue #510](https://github.com/allegroai/clearml/issues/#510)
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* Fix `pandas` delta datetime conversion [ClearML GitHub issue #510](https://github.com/allegroai/clearml/issues/510)
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* Fix `matplotlib` auto-magic detect bar graph series name [ClearML GitHub issue #518](https://github.com/allegroai/clearml/issues/518)
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* Fix path limitation on storage services (posix, object storage) when storing target artifacts by limiting length of
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project name (full path) and task name used for object path [ClearML GitHub issue #516](https://github.com/allegroai/clearml/issues/516)
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@ -26,7 +26,7 @@ title: Version 1.6
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**Bug Fixes**
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* Fix dataset download [ClearML GitHub issue #713](https://github.com/allegroai/clearml/issues/713)
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* Fix lock is not released after dataset cache is downloaded [ClearML GitHub issue #671](https://github.com/allegroai/clearml/issues/708)
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* Fix lock is not released after dataset cache is downloaded [ClearML GitHub issue #671](https://github.com/allegroai/clearml/issues/671)
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* Fix deadlock might occur when using process pool large number processes [ClearML GitHub issue #674](https://github.com/allegroai/clearml/issues/674)
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* Fix 'series' not appearing on UI when using `logger.report_table()` [ClearML GitHub issue #684](https://github.com/allegroai/clearml/issues/684)
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* Fix `Task.init()` docstring to include behavior when executing remotely [ClearML GitHub PR #737](https://github.com/allegroai/clearml/pull/737)
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