cloudml v0.6.1

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Interface to the Google Cloud Machine Learning Platform

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

Functions in cloudml

Name Description
cloudml_predict Perform Prediction over a CloudML Model.
job_trials Current trials of a job
gsutil_exec Executes a Google Utils Command
cloudml_train Train a model using Cloud ML
job_cancel Cancel a job
gs_local_dir Alias to gs_data_dir_local() function
gs_rsync Synchronize content of two buckets/directories
job_collect Collect job output
gcloud_init Initialize the Google Cloud SDK
job_list List all jobs
job_status Current status of a job
job_stream_logs Show job log stream
gcloud_terminal Create an RStudio terminal with access to the Google Cloud SDK
cloudml_deploy Deploy SavedModel to CloudML
gcloud_version Gcloud version
gcloud_exec Executes a Google Cloud Command
gs_copy Copy files to / from Google Storage
cloudml-package Interface to the Google Cloud Machine Learning Platform
gcloud_install Install the Google Cloud SDK
gs_data_dir Google storage bucket path that syncs to local storage when not running on CloudML.
gs_data_dir_local Get a local path to the contents of Google Storage bucket
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Vignettes of cloudml

Name
images/cloudml.png
images/deploy-keras-mnist-image.png
images/google-storage-browser.png
images/google-storage-terminal.png
images/rstudio-terminal.png
images/training-run.png
deployment.Rmd
getting_started.Rmd
storage.Rmd
training.Rmd
tuning.Rmd
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Details

License Apache License 2.0
SystemRequirements Python (>= 2.7.0)
Encoding UTF-8
LazyData true
RoxygenNote 6.1.1
VignetteBuilder knitr
NeedsCompilation no
Packaged 2019-09-03 19:12:58 UTC; dfalbel
Repository CRAN
Date/Publication 2019-09-03 21:00:06 UTC

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