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Terminology update (#1035)
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@@ -3,7 +3,7 @@ title: Task Environment Containers
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---
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This tutorial demonstrates using [`clearml-agent`](../../clearml_agent.md)'s [`build`](../../clearml_agent/clearml_agent_ref.md#build)
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command to build a Docker container replicating the execution environment of an existing task. ClearML Agents can make
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command to build a container replicating the execution environment of an existing task. ClearML Agents can make
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use of such containers to execute tasks without having to set up their environment every time.
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A use case for this would be manual hyperparameter optimization, where a base task can be used to create a container to
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@@ -36,7 +36,7 @@ be used when running optimization tasks.
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```
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This ID will be used in the following section.
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## Building the Docker Container
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## Building the Container
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Execute the following command to build the container. Input the ID of the task created above.
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```console
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@@ -56,7 +56,7 @@ Committing docker container to: new_docker
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sha256:460453b93ct1989fd1c6637c236e544031c4d378581433fc0b961103ce206af1
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```
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## Using the New Docker Container
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## Using the New Container
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Make use of the container you've just built by having a ClearML agent make use of it for executing a new task:
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1. In the [ClearML Web UI](../../webapp/webapp_overview.md), go to the "examples" project, "Keras with TensorBoard
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