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Restructure docs for platform components and use case clarity (#1048)

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Noam Wasersprung
2025-02-23 17:33:55 +02:00
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parent 535e08efa8
commit 567af28632
128 changed files with 4370 additions and 1404 deletions
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docs/integrations/pytorch_lightning.md
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@@ -3,10 +3,10 @@ title: PyTorch Lightning
---
:::tip
If you are not already using ClearML, see [Getting Started](../getting_started/ds/ds_first_steps.md) for setup
instructions.
If you are not already using ClearML, see [ClearML Setup instructions](../clearml_sdk/clearml_sdk_setup).
:::
[PyTorch Lightning](https://github.com/Lightning-AI/lightning) is a framework that simplifies the process of training and deploying PyTorch models. ClearML seamlessly
integrates with PyTorch Lightning, automatically logging PyTorch models, parameters supplied by [LightningCLI](https://lightning.ai/docs/pytorch/stable/cli/lightning_cli.html),
and more.
@@ -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](../fundamentals/hpo.md)
the hyperparameter values that yield the best performing models. See [Hyperparameter Optimization](../hpo.md)
for more information.