ClearML/clearml-docs
1
0
Fork 0
mirror of https://github.com/clearml/clearml-docs synced 2025-06-26 18:17:44 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Small edits (#676)

Browse Source
This commit is contained in:
pollfly
2023-10-01 10:31:48 +03:00
committed by GitHub
parent 6b02f02b0d
commit 83fa8adcd5
40 changed files with 127 additions and 127 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
docs/guides/services/aws_autoscaler.md
View File

@@ -151,9 +151,9 @@ Make sure a `clearml-agent` is assigned to that queue.
## WebApp
### Configuration
The values configured through the wizard are stored in the task’s hyperparameters and configuration objects by using the
The values configured through the wizard are stored in the task's hyperparameters and configuration objects by using the
[`Task.connect`](../../references/sdk/task.md#connect) and [`Task.set_configuration_object`](../../references/sdk/task.md#set_configuration_object)
methods respectively. They can be viewed in the WebApp, in the task’s **CONFIGURATION** page under **HYPERPARAMETERS** and **CONFIGURATION OBJECTS > General**.
methods respectively. They can be viewed in the WebApp, in the task's **CONFIGURATION** page under **HYPERPARAMETERS** and **CONFIGURATION OBJECTS > General**.
ClearML automatically logs command line arguments defined with argparse. View them in the experiments **CONFIGURATION**
page under **HYPERPARAMETERS > General**.
@@ -161,11 +161,11 @@ page under **HYPERPARAMETERS > General**.
![Autoscaler configuration](../../img/examples_aws_autoscaler_config.png)
The task can be reused to launch another autoscaler instance: clone the task, then edit its parameters for the instance
types and budget configuration, and enqueue the task for execution (you’ll typically want to use a ClearML Agent running
types and budget configuration, and enqueue the task for execution (you'll typically want to use a ClearML Agent running
in [services mode](../../clearml_agent.md#services-mode) for such service tasks).
### Console
All other console output appears in the experiment’s **CONSOLE**.
All other console output appears in the experiment's **CONSOLE**.
![Autoscaler console](../../img/examples_aws_autoscaler_console.png)

8
docs/guides/services/cleanup_service.md
View File

@@ -6,7 +6,7 @@ The [cleanup service](https://github.com/allegroai/clearml/blob/master/examples/
demonstrates how to use the `clearml.backend_api.session.client.APIClient` class to implement a service that deletes old
archived tasks and their associated files: model checkpoints, other artifacts, and debug samples.
Modify the cleanup service’s parameters to specify which archived experiments to delete and when to delete them.
Modify the cleanup service's parameters to specify which archived experiments to delete and when to delete them.
### Running the Cleanup Service
@@ -52,14 +52,14 @@ an `APIClient` object that establishes a session with the ClearML Server, and ac
* [`Task.delete`](../../references/sdk/task.md#delete) - Delete a Task.
## Configuration
The experiment’s hyperparameters are explicitly logged to ClearML using the [`Task.connect`](../../references/sdk/task.md#connect)
method. View them in the WebApp, in the experiment’s **CONFIGURATION** page under **HYPERPARAMETERS > General**.
The experiment's hyperparameters are explicitly logged to ClearML using the [`Task.connect`](../../references/sdk/task.md#connect)
method. View them in the WebApp, in the experiment's **CONFIGURATION** page under **HYPERPARAMETERS > General**.
The task can be reused. Clone the task, edit its parameters, and enqueue the task to run in ClearML Agent [services mode](../../clearml_agent.md#services-mode).
![Cleanup service configuration](../../img/example_cleanup_configuration.png)
## Console
All console output appears in the experiment’s **CONSOLE**.
All console output appears in the experiment's **CONSOLE**.
![Cleanup service console](../../img/examples_cleanup_console.png)

6
docs/guides/services/slack_alerts.md
View File

@@ -79,17 +79,17 @@ The script supports the following additional command line options:
## Configuration
ClearML automatically logs command line options defined with argparse. They appear in the experiment’s **CONFIGURATION**
ClearML automatically logs command line options defined with argparse. They appear in the experiment's **CONFIGURATION**
page under **HYPERPARAMETERS > Args**.
![Monitoring configuration](../../img/examples_slack_config.png)
The task can be reused to launch another monitor instance: clone the task, edit its parameters, and enqueue the task for
execution (you’ll typically want to use a ClearML Agent running in [services mode](../../clearml_agent.md#services-mode)
execution (you'll typically want to use a ClearML Agent running in [services mode](../../clearml_agent.md#services-mode)
for such service tasks).
## Console
All console output appears in the experiment’s **CONSOLE** page.
All console output appears in the experiment's **CONSOLE** page.
## Additional Information about slack_alerts.py