From dd649ffff39e44566c67b8be7248be61655838ef Mon Sep 17 00:00:00 2001 From: pollfly <75068813+pollfly@users.noreply.github.com> Date: Sun, 5 Feb 2023 13:43:44 +0200 Subject: [PATCH] Small edits (#467) --- docs/clearml_serving/clearml_serving.md | 2 +- docs/fundamentals/task.md | 2 +- docs/guides/clearml_agent/executable_exp_containers.md | 2 +- docs/guides/ide/google_colab.md | 2 +- docs/webapp/webapp_overview.md | 6 +++--- 5 files changed, 7 insertions(+), 7 deletions(-) diff --git a/docs/clearml_serving/clearml_serving.md b/docs/clearml_serving/clearml_serving.md index 2d017b4f..d3009cd2 100644 --- a/docs/clearml_serving/clearml_serving.md +++ b/docs/clearml_serving/clearml_serving.md @@ -22,7 +22,7 @@ solution. * Multi models per serving service * Multi-service support (fully separated multiple serving service running independently) * Multi cluster support - * Out-of-the-box node auto-scaling based on load/usage + * Out-of-the-box node autoscaling based on load/usage * Efficient * Multi-container resource utilization * Support for CPU & GPU nodes diff --git a/docs/fundamentals/task.md b/docs/fundamentals/task.md index 4a217c33..e0bf4d65 100644 --- a/docs/fundamentals/task.md +++ b/docs/fundamentals/task.md @@ -112,7 +112,7 @@ Available task types are: * *optimizer* - A specific type of controller for optimization tasks (e.g. [hyperparameter optimization](hpo.md)) * *service* - Long lasting or recurring service (e.g. server cleanup, auto ingress, sync services etc.) * *monitor* - A specific type of service for monitoring -* *application* - A task implementing custom applicative logic, like [auto-scaler](../guides/services/aws_autoscaler.md) +* *application* - A task implementing custom applicative logic, like [autoscaler](../guides/services/aws_autoscaler.md) or [clearml-session](../apps/clearml_session.md) * *data_processing* - Any data ingress / preprocessing (see [ClearML Data](../clearml_data/clearml_data.md)) * *qc* - Quality Control (e.g. evaluating model performance vs. blind dataset) diff --git a/docs/guides/clearml_agent/executable_exp_containers.md b/docs/guides/clearml_agent/executable_exp_containers.md index 42d8eaee..28c3b1ee 100644 --- a/docs/guides/clearml_agent/executable_exp_containers.md +++ b/docs/guides/clearml_agent/executable_exp_containers.md @@ -2,7 +2,7 @@ title: Executable Experiment Containers --- -This tutorial demonstrates using [`clearml-agent`](../../clearml_agent.md)’s [`build`](../../clearml_agent/clearml_agent__ref#build) +This tutorial demonstrates using [`clearml-agent`](../../clearml_agent.md)’s [`build`](../../clearml_agent/clearml_agent_ref.md#build) command to package an experiment into an executable container. In this example, you will build a Docker image that, when run, will automatically execute the [keras_tensorboard.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/keras/keras_tensorboard.py) script. diff --git a/docs/guides/ide/google_colab.md b/docs/guides/ide/google_colab.md index 3d9ede9c..f951c1dc 100644 --- a/docs/guides/ide/google_colab.md +++ b/docs/guides/ide/google_colab.md @@ -8,7 +8,7 @@ compute provided by google. Users can transform a Google Colab instance into an available resource in ClearML using [ClearML Agent](../../clearml_agent.md). This tutorial goes over how to create a ClearML worker node in a Google Colab notebook. Once the worker is up -and running, users can send Tasks to be executed on the Google Colab's HW. +and running, users can send Tasks to be executed on Google Colab's HW. ## Prerequisites * Be signed up for ClearML (Or have a server deployed). diff --git a/docs/webapp/webapp_overview.md b/docs/webapp/webapp_overview.md index 8c674f62..6a9b739b 100644 --- a/docs/webapp/webapp_overview.md +++ b/docs/webapp/webapp_overview.md @@ -52,7 +52,7 @@ email > click **ADD** > page redirects to the [Users & Groups](webapp_profile.md * **Logout** of ClearML ### Finding What You're Looking for -Use the search bar Magnifying glass +Use the search bar Magnifying glass to find your ClearML resources. To search using regex, click the `.*` icon on the search bar. @@ -80,10 +80,10 @@ and [datasets](datasets/webapp_dataset_page.md)) provide column filters to easil ::: ### Helpful Resources -Click the help menu button Help menu +Click the help menu button Help menu in the top right corner of the web UI screen to access the self-help resources including: * ClearML Python Package setup - Instruction to get started with the `clearml` Python package -* [ClearML on YouTube](https://www.youtube.com/c/ClearML/featured) Youtube - Instructional videos on integrating ClearML into your workflow +* [ClearML on YouTube](https://www.youtube.com/c/ClearML/featured) Youtube - Instructional videos on integrating ClearML into your workflow * Online Documentation * Pro Tips - Tips for working with ClearML efficiently * [Contact Us](https://clear.ml/contact-us) - Quick access to ClearML contact form