-
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 thecloudml.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 executegcloud init
in RStudio terminal under Linux (#177). -
Default to the TensorFlow 1.9 runtime. Previous runtimes can be used through
runtimeVersion
inconfig.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
incloudml_train
. -
Fixed CRAN results for cloudml.
-
Fixed packrat package missing error (#168).
- First release to CRAN.