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docs/apps/clearml_param_search.md
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@ -34,7 +34,7 @@ of the optimization results in table and graph forms.
|`--objective-metric-sign`| Optimization target, whether to maximize or minimize the value of the objective metric specified. Possible values: "min", "max", "min_global", "max_global". For more information, see [Optimization Objective](#optimization-objective). |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
|`--objective-metric-title`| Objective metric title to maximize/minimize (e.g. 'validation').|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
|`--optimization-time-limit`|The maximum time (minutes) for the optimization to run. The default is `None`, indicating no time limit.|<img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
|`--optimizer-class`|The optimizer to use. Possible values are: OptimizerOptuna (default), OptimizerBOHB, GridSearch, RandomSearch. For more information, see [Supported Optimizers](../clearml_sdk/hpo_sdk#supported-optimizers). |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
|`--optimizer-class`|The optimizer to use. Possible values are: OptimizerOptuna (default), OptimizerBOHB, GridSearch, RandomSearch. For more information, see [Supported Optimizers](../clearml_sdk/hpo_sdk.md#supported-optimizers). |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
|`--params-search`|Parameters space for optimization. See more information in [Specifying the Parameter Space](#specifying-the-parameter-space). |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
|`--params-override`|Additional parameters of the base task to override for this parameter search. Use the following JSON format for each parameter: `{"name": "param_name", "value": <new_value>}`. Windows users, see [JSON format note](#json_note).|<img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
|`--pool-period-min`|The time between two consecutive polls (minutes).|<img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|

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docs/cloud_autoscaling/autoscaling_overview.md
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@ -71,7 +71,7 @@ execute the tasks in the GPU queue.
#### Docker
Every task a cloud instance pulls will be run inside a docker container. When setting up an autoscaler app instance,
you can specify a default container to run the tasks inside. If the task has its own container configured, it will
override the autoscaler’s default docker image (see [Base Docker Image](../getting_started/clearml_agent_docker_exec.md#base-docker-container)).
override the autoscaler’s default docker image (see [Base Container](../getting_started/clearml_agent_base_docker.md#base-container)).
#### Git Configuration
If your code is saved in a private repository, you can add your Git credentials so the ClearML Agents running on your

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docs/integrations/pytorch_lightning.md
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@ -144,6 +144,6 @@ task.execute_remotely(queue_name='default', exit_process=True)
## Hyperparameter Optimization
Use ClearML's [`HyperParameterOptimizer`](../references/sdk/hpo_optimization_hyperparameteroptimizer.md) class to find
the hyperparameter values that yield the best performing models. See [Hyperparameter Optimization](../hpo.md)
the hyperparameter values that yield the best performing models. See [Hyperparameter Optimization](../getting_started/hpo.md)
for more information.