cloudml_deploy

A string containing a directory containing an
exported SavedModels. Consider using <code><a rd-options="tensorflow:export_savedmodel" href="/link/tensorflow%3A%3Aexport_savedmodel()?package=cloudml&version=0.6.1&to=tensorflow%3Aexport_savedmodel" data-mini-rdoc="tensorflow:export_savedmodel::tensorflow::export_savedmodel()">tensorflow::export_savedmodel()</a></code>
to export this SavedModel.

export_dir_base

The name for this model (required)

name

The version for this model. Versions start with a letter and
contain only letters, numbers and underscores. Defaults to name_1

version

The region to be used to deploy this model.

region

A list, <code>YAML</code> or <code>JSON</code> configuration file as described
<a href="https://cloud.google.com/ml-engine/reference/rest/v1/projects.jobs">https://cloud.google.com/ml-engine/reference/rest/v1/projects.jobs</a>.

config

Deploys a SavedModel to CloudML model for online predictions.

Interface to the Google Cloud Machine Learning Platform
<https://cloud.google.com/ml-engine>, which provides cloud tools for training machine
learning models.

Daniel Falbel

cloudml

Interface to the Google Cloud Machine Learning Platform

Javier Luraschi

JJ Allaire

Kevin Ushey

 RStudio

cloudml_deploy function

A string containing a directory containing an
exported SavedModels. Consider using <code><a rd-options='tensorflow:export_savedmodel' href='tensorflow::export_savedmodel()'>tensorflow::export_savedmodel()</a></code>
to export this SavedModel.

A list, <code>YAML</code> or <code>JSON</code> configuration file as described
<a href='https://cloud.google.com/ml-engine/reference/rest/v1/projects.jobs'>https://cloud.google.com/ml-engine/reference/rest/v1/projects.jobs</a>.

cloudml_deploy: Deploy SavedModel to CloudML

Description

Usage

Arguments

See Also