Function Reference

Training Functions for model training.
`cloudml_train()`	Train a model using Cloud ML
Prediction Functions for deploying models and generating predictions.
`cloudml_deploy()`	Deploy SavedModel to CloudML
`cloudml_predict()`	Perform Prediction over a CloudML Model.
Managing Jobs Functions for managing remote Cloud ML Jobs.
`job_status()`	Current status of a job
`job_collect()`	Collect job output
`job_stream_logs()`	Show job log stream
`job_trials()`	Current trials of a job
`job_cancel()`	Cancel a job
`job_list()`	List all jobs
Google Storage Functions for interacting with Google Storage.
`gs_copy()`	Copy files to / from Google Storage
`gs_rsync()`	Synchronize content of two buckets/directories
`gs_data_dir()`	Google storage bucket path that syncs to local storage when not running on CloudML.
`gs_data_dir_local()`	Get a local path to the contents of Google Storage bucket
Google Cloud SDK Functions for interacting with Google Cloud SDK.
`gcloud_install()`	Install the Google Cloud SDK
`gcloud_init()`	Initialize the Google Cloud SDK
`gcloud_terminal()`	Create an RStudio terminal with access to the Google Cloud SDK

Training