Merge branch 'main' of https://github.com/allegroai/clearml-docs
@ -44,7 +44,10 @@ ClearML Agent uses the provided default Docker container, which can be overridde
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You can set the docker container via the UI:
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1. Clone the experiment
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2. Set the Docker in the cloned task's **Execution** tab **> Container** section
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3. Enqueue the cloned task
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The task will be executed in the container specified in the UI.
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@ -273,7 +273,8 @@ The agent’s default container can be overridden via the UI:
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1. Clone the task
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1. Set the Docker in the cloned task's **Execution** tab > **Container** section
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1. Enqueue the cloned task
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@ -895,7 +895,8 @@ task.connect(me)
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task.connect(params_dictionary)
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```
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### Configuration Objects
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@ -918,7 +919,8 @@ config_file_yaml = task.connect_configuration(
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)
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```
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### User Properties
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A task's user properties do not impact task execution, so you can add / modify the properties at any stage. Add user
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@ -932,7 +934,8 @@ task.set_user_properties(
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)
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```
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## Scalars
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@ -59,7 +59,8 @@ Installing an Agent on machines allows it to monitor all the machine's status (G
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When managing multiple machines, this allows users to have an overview of their HW resources: the status of each machine,
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the expected workload on each machine, etc.
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You can organize your queues according to resource usage. Say you have a single-GPU machine. You can create a queue called
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@ -50,7 +50,8 @@ Artifacts appear under the **ARTIFACTS** tab of a Task. Each artifact's location
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applications are prohibited from accessing the local disk for security reasons)
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* **Network stored artifacts**: Display a download action to retrieve files from URLs (e.g., `https://`, `s3://`).
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## SDK Interface
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See the [Artifacts](../clearml_sdk/task_sdk.md#artifacts) section in the Task SDK page for an overview of how to work
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@ -31,13 +31,17 @@ The preceding diagram demonstrates the typical flow of hyperparameter optimizati
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summary of the optimization results in tabular and parallel coordinate formats, and in a scalar plot.
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<Collapsible title="Parallel coordinate and scalar plots" type="screenshot">
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</Collapsible>
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@ -124,7 +124,9 @@ The configuration panel is split into three sections according to type:
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These sections are further broken down into subsections based on how the parameters were logged (General / Args / TF_Define / Environment).
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## SDK Interface
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@ -19,7 +19,8 @@ ClearML supports four types of reports:
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- Plots - General graphs and diagrams, such as histograms, confusion matrices, line plots, and custom plotly charts.
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- Debug Samples - Images, audio, and videos. Can be reported per iteration.
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## Automatic Reporting
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@ -31,7 +32,8 @@ library warning messages.
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GPU, CPU, Memory, and Network information is also automatically captured.
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### Supported Packages
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- [TensorBoard](https://www.tensorflow.org/tensorboard)
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@ -74,7 +76,8 @@ outputs that would be used later on.
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Only the last X results of each title / series are saved to prevent overloading the server.
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See details in [`Logger.report_media`](../references/sdk/logger.md#report_media).
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### Explicit Reporting Examples
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@ -68,7 +68,8 @@ label enumeration, lineage, and general information, click the model name, which
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Models can also be accessed through their associated project's [Model Table](../webapp/webapp_model_table.md), where all
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the models associated with a project are listed.
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## SDK Interface
|
||||
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@ -39,7 +39,8 @@ modified hyperparameters
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## Task Sections
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@ -143,7 +143,8 @@ Since not all metrics are tracked that way, you can also manually report metrics
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You can log everything, from time series data and confusion matrices to HTML, Audio, and Video, to custom plotly graphs! Everything goes!
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Once everything is neatly logged and displayed, use the [comparison tool](../../webapp/webapp_exp_comparing.md) to find the best configuration!
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@ -152,7 +153,8 @@ Once everything is neatly logged and displayed, use the [comparison tool](../../
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The experiments table is a powerful tool for creating dashboards and views of your own projects, your team's projects, or the entire development.
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||||
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### Creating Leaderboards
|
||||
|
@ -120,7 +120,8 @@ GUI applications
|
||||
- Build [pipelines](../pipelines/pipelines.md) from code
|
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- Much more!
|
||||
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|
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|
||||
## Who We Are
|
||||
ClearML is supported by you :heart: and the [clear.ml](https://clear.ml) team, which helps enterprise companies build scalable MLOps/LLMOps.
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