cloudml_deploy: Deploy SavedModel to CloudML

In cloudml: Interface to the Google Cloud Machine Learning Platform

Description

Deploys a SavedModel to CloudML model for online predictions.

Usage

cloudml_deploy(export_dir_base, name, version = paste0(name, "_1"),
  region = NULL, config = NULL)

Arguments

export_dir_base	A string containing a directory containing an exported SavedModels. Consider using tensorflow::export_savedmodel() to export this SavedModel.
name	The name for this model (required)
version	The version for this model. Versions start with a letter and contain only letters, numbers and underscores. Defaults to name_1
region	The region to be used to deploy this model.
config	A list, YAML or JSON configuration file as described https://cloud.google.com/ml-engine/reference/rest/v1/projects.jobs.

See Also

cloudml_predict()

Other CloudML functions: cloudml_predict, cloudml_train

cloudml documentation built on Sept. 4, 2019, 1:04 a.m.