From b320108e671f18711e83fa0cef2dbdd44f912814 Mon Sep 17 00:00:00 2001 From: Redback Date: Sat, 30 Nov 2019 14:54:14 -0800 Subject: [PATCH] Added readthedocs link in README (#40) --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 71460f97..a6b21dc7 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ Amazon SageMaker Operators for Kubernetes are operators that can be used to trai ## Usage -First, you must [install the operators](). After installation is complete, create a TrainingJob YAML specification by following one of the samples, like [samples/xgboost-mnist-trainingjob.yaml](./samples/xgboost-mnist-trainingjob.yaml). Then, use `kubectl` to create and monitor the progress of your job: +First, you must [install the operators](https://sagemaker.readthedocs.io/en/stable/amazon_sagemaker_operators_for_kubernetes.html). After installation is complete, create a TrainingJob YAML specification by following one of the samples, like [samples/xgboost-mnist-trainingjob.yaml](./samples/xgboost-mnist-trainingjob.yaml). Then, use `kubectl` to create and monitor the progress of your job: ```bash $ kubectl apply -f xgboost-mnist-trainingjob.yaml @@ -37,7 +37,7 @@ xgboost-mnist-cf1e16fb10a511eaaa450a350733ba06/algo-1-1574811611 2019-11-26 15:4 The Amazon SageMaker Operators for Kubernetes enable management of SageMaker TrainingJobs, HyperParameterTuningJobs, BatchTransformJobs and HostingDeployments (Endpoints). Create and monitor them using the same `kubectl` tool as above. -To install the operators onto your Kubernetes cluster, follow our [User Guide](). +To install the operators onto your Kubernetes cluster, follow our [User Guide](https://sagemaker.readthedocs.io/en/stable/amazon_sagemaker_operators_for_kubernetes.html). ### YAML Examples