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).