# GoogleCloudPlatform/cloudml-samples

Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

Repository: https://github.com/GoogleCloudPlatform/cloudml-samples
Canonical: https://ross.abutalabs.com/products/cloudml-samples
Homepage: https://cloud.google.com/ai-platform/docs/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: cloudml, cloudml-samples, keras-tensorflow, keras, gcp, samples
Archived: true
Last push: 2021-12-17T01:37:36+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3625, "days_push": 1721, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1549, forks 840 (observed 2026-08-28T04:05:01.920231+00:00)

## What it is
A collection of sample code and notebook tutorials for Google Cloud AI Platform (Cloud ML Engine) covering model training, online prediction, hyperparameter tuning, and TPU usage. The repository is deprecated and superseded by the GoogleCloudPlatform/vertex-ai-samples repo.

## Use cases
- train a scikit-learn model on Google Cloud AI Platform
- deploy a TensorFlow model for online prediction on GCP
- run hyperparameter tuning jobs on Cloud ML Engine
- learn to train models on TPUs in the cloud
- find notebook walkthroughs for AI Platform training and serving
- migrate ML training workloads to Google Cloud

## When to choose
- you need working examples of the legacy AI Platform (Cloud ML Engine) training and prediction APIs
- you want notebook tutorials for hyperparameter tuning or TPU training on GCP
- you maintain code that still targets the old cloudml tooling

## When to avoid
- you are starting a new project on Google Cloud - use the vertex-ai-samples repository instead
- you need current, supported Vertex AI SDK examples
- you want a library or tool rather than sample code

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, developer-tools
- domain: machine-learning, cloud-computing, tutorials
- platform: python, cloud
- tags: gcp, ai-platform, vertex-ai, samples, tensorflow, keras, scikit-learn, hyperparameter-tuning, tpu, deprecated, gpu

## Member repositories
- GoogleCloudPlatform/cloudml-samples (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:01.920231+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:30:21.736754+00:00, confidence not recorded.
  - readme: https://github.com/GoogleCloudPlatform/cloudml-samples (fetched 2026-08-28T04:05:01.920231+00:00, sha c822c15de5b4)
  - homepage: https://cloud.google.com/ai-platform/docs/ (fetched 2026-08-29T11:31:03.932827+00:00, sha cf48c9a0c282)
- Data as of 2026-08-30T08:39:29.467469+00:00.