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pollfly
2023-09-21 13:52:36 +03:00
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docs/integrations/optuna.md
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@@ -10,7 +10,7 @@ The [HyperParameterOptimizer](../references/sdk/hpo_optimization_hyperparametero
hyperparameter optimization modules. Its modular design enables using different optimizers, including existing software
frameworks, like Optuna, enabling simple,
accurate, and fast hyperparameter optimization. The Optuna ([`automation.optuna.OptimizerOptuna`](../references/sdk/hpo_optuna_optuna_optimizeroptuna.md)),
optimizer allows you to simultaneously optimize many hyperparameters efficiently by relying on early stopping (pruning)
optimizer lets you simultaneously optimize many hyperparameters efficiently by relying on early stopping (pruning)
and smart resource allocation.
To use optuna in ClearML's hyperparameter optimization, you must first install it. When you instantiate `HyperParameterOptimizer`,

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docs/integrations/yolov5.md
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@@ -121,7 +121,7 @@ clearml-data sync --project YOLOv5 --name coco128 --folder .
This command syncs the folder's content with ClearML, packaging all of the folder's contents into a ClearML dataset.
Alternatively, you could run these commands one after the other to create a dataset:
Alternatively, you can run these commands one after the other to create a dataset:
```commandline
# Optionally add --parent <parent_dataset_id> if you want to base