Package: cloudml 0.7.1.9000

Tomasz Kalinowski

cloudml: Interface to the Google Cloud Machine Learning Platform

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

Authors:Tomasz Kalinowski [cre], Daniel Falbel [aut], Javier Luraschi [aut], JJ Allaire [aut], Kevin Ushey [aut], RStudio [cph]

cloudml_0.7.1.9000.tar.gz
cloudml_0.7.1.9000.zip(r-4.7)cloudml_0.7.1.9000.zip(r-4.6)cloudml_0.7.1.9000.zip(r-4.5)
cloudml_0.7.1.9000.tgz(r-4.6-any)cloudml_0.7.1.9000.tgz(r-4.5-any)
cloudml_0.7.1.9000.tar.gz(r-4.7-any)cloudml_0.7.1.9000.tar.gz(r-4.6-any)
cloudml_0.7.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cloudml/json (API)

# Install 'cloudml' in R:
install.packages('cloudml', repos = c('https://rstudio.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rstudio/cloudml/issues

On CRAN:

Conda:

cloudmlgpcgpukerastensorflow

8.70 score 65 stars 172 scripts 648 downloads 20 exports 28 dependencies

Last updated from:73cc8891df. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK178
linux-release-x86_64OK125
macos-release-arm64OK83
macos-oldrel-arm64OK119
windows-develOK95
windows-releaseOK64
windows-oldrelOK79
wasm-releaseOK112

Exports:cloudml_deploycloudml_predictcloudml_traingcloud_execgcloud_initgcloud_installgcloud_terminalgcloud_versiongs_copygs_data_dirgs_data_dir_localgs_local_dirgs_rsyncgsutil_execjob_canceljob_collectjob_listjob_statusjob_stream_logsjob_trials

Dependencies:base64enccliconfigglueherejsonlitelatticelifecyclemagrittrMatrixpackratpngprocessxpsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapitfrunstidyselectvctrswhiskerwithryaml

Deploying Models
Model Deployment | Exporting a SavedModel | Deploying the Model | Prediction
Rendered fromdeployment.Rmdusingknitr::rmarkdown

Last update: 2025-08-19
Started: 2017-12-19

R Interface to Google CloudML
Overview | Google Cloud Account | Installation | Training on CloudML | Submitting a Job | Collecting Results | Training with a GPU | Learning More
Rendered fromgetting_started.Rmdusingknitr::rmarkdown

Last update: 2025-08-19
Started: 2017-12-05

Google Cloud Storage
Overview | Copying Data | Reading Data | Data Source Configuration | Managing Storage | Google Storage Browser | Google Cloud SDK
Rendered fromstorage.Rmdusingknitr::rmarkdown

Last update: 2025-08-19
Started: 2017-12-18

Hyperparameter Tuning
Overview | What's a hyperparameter? | How it works | What it optimizes | How Cloud ML Engine gets your metric | The flow of hyperparameter values | Selecting hyperparameters | Preparing your script | Tuning configuration | Submitting a tuning job | Collecting trials | Optimization metrics
Rendered fromtuning.Rmdusingknitr::rmarkdown

Last update: 2025-08-19
Started: 2017-03-10

Training with CloudML
Overview | Local Development | Submitting Jobs | Collecting Job Results | Training Runs | Managing Jobs | Tuning Your Application | Training with a GPU | Training Configuration | Learning More
Rendered fromtraining.Rmdusingknitr::rmarkdown

Last update: 2025-08-19
Started: 2017-03-10