Man pages for tmastny/sagemaker
R Interface for the AWS Sagemaker API
| abalone | Abalone Dataset |
| abalone_pred | Abalone Predictions |
| batch_predict | Batch Predictions from Sagemaker Model |
| pipe | Pipe operator |
| predict.sagemaker | Make Predictions from Sagemaker Model |
| predict.xgboost.core.Booster | Make Predictions Locally |
| read_s3 | Read/write 'csv's from S3 |
| s3 | Creates S3 Object Paths |
| s3_bucket | Sagemaker Default S3 Bucket |
| s3_split | Train/Validation Split in S3 |
| sagemaker_attach_tuner | Attach an Existing Sagemaker Tuning Job |
| sagemaker_container | Sagemaker Container |
| sagemaker_deploy_endpoint | Deploy Sagemaker Real-time Endpoint |
| sagemaker_download_model | Downloads Model Artifact |
| sagemaker_estimator | Sagemaker Estimator |
| sagemaker_hyperparameter_tuner | Start a Sagemaker Hyperparamter Tuning Job |
| sagemaker_install | Installs Sagemaker Dependencies |
| sagemaker_load_model | Loads Model Artifact |
| sagemaker_ranges | Sagemaker Parameter Ranges |
| sagemaker_save_execution_role | Sagemake Execution Role |
| sagemaker_training_job_logs | Sagemaker Training Job Logs |
| sagemaker_tuning_job_logs | Sagemaker Tuning Job Logs |
