From fd5a80f985cccaec58c75e83831f5d2ae905c430 Mon Sep 17 00:00:00 2001 From: Oleksandr Shchur Date: Tue, 11 Feb 2025 14:53:34 +0000 Subject: [PATCH] Address PR comments --- docs/tutorials/autogluon-cloud.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/docs/tutorials/autogluon-cloud.md b/docs/tutorials/autogluon-cloud.md index 5e63123..057a049 100644 --- a/docs/tutorials/autogluon-cloud.md +++ b/docs/tutorials/autogluon-cloud.md @@ -42,10 +42,10 @@ AutoGluon-Cloud needs to interact with various AWS resources. For this purpose, ::::{tab-set} :::{tab-item} CloudFormation (AWS CLI) :sync: setup-cli -1. Download and review the CloudFormation template from the [AutoGluon-Cloud repository](https://github.com/autogluon/autogluon-cloud/tree/add-cfn-templates/cloudformation) +1. Download and review the CloudFormation template from the [AutoGluon-Cloud repository](https://github.com/autogluon/autogluon-cloud/tree/master/cloudformation) ```bash BACKEND="sagemaker" # Supported options "sagemaker", "ray_aws" - wget https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/add-cfn-templates/cloudformation/ag_cloud_$BACKEND.yaml + wget https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/master/cloudformation/ag_cloud_$BACKEND.yaml ``` ```{note} Make sure you review the IAM policy defined in the CloudFormation template, and make necessary changes according to your use case before applying it. @@ -82,9 +82,9 @@ AutoGluon-Cloud needs to interact with various AWS resources. For this purpose, ::: :::{tab-item} CloudFormation (AWS Console) :sync: setup-cfn -1. Download and review the CloudFormation template for the backend of your choice from the [AutoGluon-Cloud repository](https://github.com/autogluon/autogluon-cloud/tree/add-cfn-templates/cloudformation) - - Template for [SageMaker](https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/add-cfn-templates/cloudformation/ag_cloud_sagemaker.yaml) - - Template for [Ray (AWS)](https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/add-cfn-templates/cloudformation/ag_cloud_ray_aws.yaml) +1. Download and review the CloudFormation template for the backend of your choice from the [AutoGluon-Cloud repository](https://github.com/autogluon/autogluon-cloud/tree/master/cloudformation) + - Template for [SageMaker](https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/master/cloudformation/ag_cloud_sagemaker.yaml) + - Template for [Ray (AWS)](https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/master/cloudformation/ag_cloud_ray_aws.yaml) ```{note} Make sure you review the IAM policy defined in the CloudFormation template, and make necessary changes according to your use case before applying it. @@ -178,7 +178,7 @@ For more details on setting up IAM roles and policies, refer to this [tutorial]( ## Training Using `autogluon.cloud` to train AutoGluon backed models is simple and not too much different from training an AutoGluon predictor directly. -Currently, `autogluon.cloud` supports training/deploying `tabular`, `multimoda` and `timeseries` predictors. In the example below, we use `TabularCloudPredictor` for demonstration. You can substitute it with other `CloudPredictors` easily as they share the same APIs. +Currently, `autogluon.cloud` supports training/deploying `tabular`, `multimodal` and `timeseries` predictors. In the example below, we use `TabularCloudPredictor` for demonstration. You can substitute it with other `CloudPredictors` easily as they share the same APIs. ```python from autogluon.cloud import TabularCloudPredictor