From 464382fc05293fdbcaf05b41d330df5d644456d4 Mon Sep 17 00:00:00 2001
From: revital <revital@allegro.ai>
Date: Wed, 26 Feb 2025 07:52:47 +0200
Subject: [PATCH] Fix links

---
 docs/apps/clearml_param_search.md              | 2 +-
 docs/cloud_autoscaling/autoscaling_overview.md | 2 +-
 docs/integrations/pytorch_lightning.md         | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/apps/clearml_param_search.md b/docs/apps/clearml_param_search.md
index bda91c8f..094fb443 100644
--- a/docs/apps/clearml_param_search.md
+++ b/docs/apps/clearml_param_search.md
@@ -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" />|
diff --git a/docs/cloud_autoscaling/autoscaling_overview.md b/docs/cloud_autoscaling/autoscaling_overview.md
index 7d6bb864..1a7f0908 100644
--- a/docs/cloud_autoscaling/autoscaling_overview.md
+++ b/docs/cloud_autoscaling/autoscaling_overview.md
@@ -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
diff --git a/docs/integrations/pytorch_lightning.md b/docs/integrations/pytorch_lightning.md
index 68432d5b..a2b97c39 100644
--- a/docs/integrations/pytorch_lightning.md
+++ b/docs/integrations/pytorch_lightning.md
@@ -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.