Function reference • sagemaker

All functions
`abalone`	Abalone Dataset
`abalone_pred`	Abalone Predictions
`batch_predict()`	Batch Predictions from Sagemaker Model
`predict(<sagemaker>)`	Make Predictions from Sagemaker Model
`predict(<xgboost.core.Booster>)`	Make Predictions Locally
`read_s3()` `write_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_xgb_container()`	Sagemaker Container
`sagemaker_deploy_endpoint()` `sagemaker_has_endpoint()` `sagemaker_delete_endpoint()`	Deploy Sagemaker Real-time Endpoint
`sagemaker_download_model()`	Downloads Model Artifact
`sagemaker_estimator()` `sagemaker_xgb_estimator()`	Sagemaker Estimator
`sagemaker_hyperparameter_tuner()`	Start a Sagemaker Hyperparamter Tuning Job
`sagemaker_install()` `sagemaker_install_xgboost()`	Installs Sagemaker Dependencies
`sagemaker_load_model()`	Loads Model Artifact
`sagemaker_ranges()` `sagemaker_integer()` `sagemaker_continuous()` `sagemaker_categorical()`	Sagemaker Parameter Ranges
`sagemaker_save_execution_role()` `sagemaker_get_execution_role()`	Sagemake Execution Role
`sagemaker_training_job_logs()`	Sagemaker Training Job Logs
`sagemaker_tuning_job_logs()`	Sagemaker Tuning Job Logs

Reference