← Back to home
Comparison · Analytics

cloudml vs poissonreg

A side-by-side editorial comparison of cloudml and poissonreg — release velocity, themes, recent moves, and the top alternatives to consider.

cloudml vs poissonreg: at a glance

Featurecloudmlpoissonreg
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmachine-learning, google-cloud, tensorflow, model-trainingtidymodels, count-regression, glmnet, r-language
Last editorial update42m ago1h ago
WebsiteVisit →Visit →

What is cloudml?

Six years since the last functional change, and Google renamed the service it wraps in the release before that

cloudml lets R users train keras, tfestimators and tensorflow models on Google's managed machine learning service, tune hyperparameters there, and deploy the results. Its last release with functional content was 0.6.1 in September 2019, which adapted to Google renaming the service from ml-engine to ai-platform. The only entry since is a 2025 documentation update made to satisfy CRAN.

Read the full cloudml trajectory →

What is poissonreg?

poissonreg gave its models away to parsnip and kept the glue — now it just keeps glmnet honest.

poissonreg is a tidymodels extension that wires Poisson and zero-inflated count regression into the parsnip interface. Its defining event was giving up ownership: the model definition functions moved into parsnip itself, leaving this package as engine bindings and prediction plumbing. The current dev release is entirely correctness and hygiene work — glmnet predictions now default to mean counts rather than the linear predictor, and single-observation prediction works at last.

Read the full poissonreg trajectory →

cloudml vs poissonreg: editorial side-by-side

C
cloudml
ANALYTICS
0.0

Six years since the last functional change, and Google renamed the service it wraps in the release before that

◆ Current state

cloudml lets R users train keras, tfestimators and tensorflow models on Google's managed machine learning service, tune hyperparameters there, and deploy the results. Its last release with functional content was 0.6.1 in September 2019, which adapted to Google renaming the service from ml-engine to ai-platform. The only entry since is a 2025 documentation update made to satisfy CRAN.

◆ Where it's heading

The visible arc is short and stops abruptly. Releases through 2018 tracked the TensorFlow runtime version and patched packaging problems; 0.6.1 added a customCommands hook so users could run OS-level setup before package installation, and adjusted to the service's new name. Then nothing for six years. A 2025 release containing only documentation changes is the standard signal of a package being kept on CRAN rather than being developed.

◆ Prediction

There is nothing in this feed to support a prediction of functional work. The most likely next event is another CRAN-driven documentation patch, or archival.

P
poissonreg
ANALYTICS
0.0

poissonreg gave its models away to parsnip and kept the glue — now it just keeps glmnet honest.

◆ Current state

poissonreg is a tidymodels extension that wires Poisson and zero-inflated count regression into the parsnip interface. Its defining event was giving up ownership: the model definition functions moved into parsnip itself, leaving this package as engine bindings and prediction plumbing. The current dev release is entirely correctness and hygiene work — glmnet predictions now default to mean counts rather than the linear predictor, and single-observation prediction works at last.

◆ Where it's heading

Release cadence has collapsed from yearly to a four-year gap between 1.0.1 and the current development version, and the content has shifted from features to deduplication against parsnip — copied helper functions replaced by the upstream originals, obsolete generic registrations removed, tests migrated to the shared extension-package pattern. This is what a stabilized tidymodels satellite looks like: the interface lives upstream, and the package's job is to not drift from it.

◆ Prediction

The dev version's accumulated fixes point to a CRAN release of 1.0.2 as the next move, with content limited to the glmnet prediction corrections rather than any new engine or model type.

Alternatives to cloudml and poissonreg

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either cloudml or poissonreg.

See all cloudml alternatives → · See all poissonreg alternatives →

Recent activity from cloudml and poissonreg

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 3mo agopoissonregglmnet predictions now default to mean counts
  2. 0y agocloudmlDocumentation updated for CRAN
  3. 3y agopoissonregDocumentation regenerated for valid HTML5
  4. 4y agopoissonregCase weight support tracks parsnip 1.0.0
  5. 4y agopoissonregModel definitions move out of poissonreg into parsnip
  6. 4y agopoissonregglm becomes the default engine; tidy() for hurdle models
  7. 5y agopoissonregFirst release, with a glmnet column-order safeguard
  8. 6y agocloudmlai-platform command adopted; custom pre-install commands added
  9. 7y agocloudmlDefault runtime moves to TensorFlow 1.9
  10. 8y agocloudmlPatch for CRAN results and a packrat error
  11. 8y agocloudmlCloud training, GPU jobs, tuning and deployment from R

Frequently asked questions

What is the difference between cloudml and poissonreg?

They serve adjacent needs but don't currently overlap on shipped themes. cloudml and poissonreg are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is cloudml better than poissonreg?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. cloudml and poissonreg are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to cloudml?

Top cloudml alternatives in Analytics are ranked by recent ship velocity. Browse the "cloudml alternatives" section above for the current picks, or visit /alternatives/cloudml for the full list with editorial commentary on each.

What are the best alternatives to poissonreg?

Top poissonreg alternatives in Analytics are ranked by recent ship velocity. Browse the "poissonreg alternatives" section above for the current picks, or visit /alternatives/poissonreg for the full list with editorial commentary on each.