Train a model using Cloud ML

Upload a TensorFlow application to Google Cloud, and use that application to train a model.

cloudml_train(file = "train.R", master_type = NULL, flags = NULL,
  region = NULL, config = NULL, collect = "ask")

Arguments

file	File to be used as entrypoint for training.
master_type	Training master node machine type. "standard" provides a basic machine configuration suitable for training simple models with small to moderate datasets. See the documentation at https://cloud.google.com/ml-engine/docs/training-overview#machine_type_table for details on available machine types.
flags	Named list with flag values (see `flags()`) or path to YAML file containing flag values.
region	The region to be used for training.
config	A list, `YAML` or `JSON` configuration file as described https://cloud.google.com/ml-engine/reference/rest/v1/projects.jobs.
collect	Collect job when training is completed (blocks waiting for the job to complete).