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Small edits (#691)

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pollfly
2023-10-15 10:59:07 +03:00
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18 changed files with 27 additions and 26 deletions
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7
docs/guides/optimization/hyper-parameter-optimization/examples_hyperparam_opt.md
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@@ -23,7 +23,7 @@ The following search strategies can be used:
documentation.
* Random uniform sampling of hyperparameter strategy - [automation.RandomSearch](../../../references/sdk/hpo_optimization_randomsearch.md)
* Full grid sampling strategy of every hyperparameter combination - Grid search [automation.GridSearch](../../../references/sdk/hpo_optimization_gridsearch.md).
* Full grid sampling strategy of every hyperparameter combination - [automation.GridSearch](../../../references/sdk/hpo_optimization_gridsearch.md).
* Custom - Use a custom class and inherit from the ClearML automation base strategy class, automation.optimization.SearchStrategy.
The search strategy class that is chosen will be passed to the [automation.HyperParameterOptimizer](../../../references/sdk/hpo_optimization_hyperparameteroptimizer.md)
@@ -73,8 +73,8 @@ can be [reproduced](../../../webapp/webapp_exp_reproducing.md) and [tuned](../..
Set the Task type to `optimizer`, and create a new experiment (and Task object) each time the optimizer runs (`reuse_last_task_id=False`).
When the code runs, it creates an experiment named **Automatic Hyper-Parameter Optimization** that is associated with
the project **Hyper-Parameter Optimization**, which can be seen in the **ClearML Web UI**.
When the code runs, it creates an experiment named **Automatic Hyper-Parameter Optimization** in
the **Hyper-Parameter Optimization** project, which can be seen in the **ClearML Web UI**.
```python
# Connecting CLEARML
@@ -174,7 +174,6 @@ Specify the remaining parameters, including the time limit per Task (minutes), p
max_iteration_per_job=30,
) # done creating HyperParameterOptimizer
```
## Running as a Service