Support for Python 3 and TensorFlow 1.15 runtime.
Fixed jobs hanging after error (#213).
Use ai-platform instead of ml-engine when user have a recent enought Google Cloud SDK.
Added the customCommands flag in the cloudml.yml file to allow users to
pass custom OS commands before packages installation. This could be used to
install custom system dependencies.
Fixed gcloud_install() to properly execute gcloud init in RStudio
terminal under Linux (#177).
Default to the TensorFlow 1.9 runtime. Previous runtimes can be used
through runtimeVersion in config.yml.
Fixed gs_rsync() to avoid creating a local destination directory when
destination uses remote storage (#172).
Improved terminal support in Windows to launch by default correct shell.
Added support for dry_run in cloudml_train.
Fixed CRAN results for cloudml.
Fixed packrat package missing error (#168).