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AWS Clean Rooms ML

awsML platformaws-clean-rooms-ml

Lookalike and custom model training inside a Clean Rooms collaboration without sharing data.

Provider
aws
Kind
ML platform
Category
Compute
Official docs
https://docs.aws.amazon.com/clean-rooms/latest/userguide/machine-learning.html
Properties · 4 set by this component
propertytypevaluesrequiredkind defaultthis component
automaticRetraining · component propertyboolean—nofalseinherited
computeInstancesinteger—no—inherited
experimentTrackingboolean—notrue▸ false
gpuEnabledboolean—no—inherited
managedboolean—nofalse▸ true
modelRegistryboolean—notrue▸ false
modelType · component propertyenumlookalike | customnolookalikeinherited
publicAccessboolean—no—▸ false
shareRelevanceMetrics · component propertyboolean—nofalseinherited
Rules that apply · 1

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

Stateful node without zone redundancyerror
stateful-node-without-zone-redundancy

A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.

  • — all of these hold:
  • — the node's `stateless` is false
  • — the node sits inside exactly 1 availability-zone group
  • — this does not hold:
  • — the node sits inside at least one cell group
Use it in a design
nodes:
  - { id: "clean-rooms-ml", component: "aws-clean-rooms-ml" }
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and 21 more → ML platform page
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# AWS Clean Rooms ML: managed modelling inside a Clean Rooms collaboration, using an AWS authored lookalike model
# or a member's dockerized custom algorithm from Amazon ECR; "the training data provider's data is never shared
# with the seed data provider" and outputs go only to the configured results receiver ("AWS Clean Rooms ML").
# A lookalike model "isn't automatically retrained"; sharing relevance metrics is a configuration choice.
schemaVersion: "1"
type: "component"
id: "aws-clean-rooms-ml"
kind: "ml-platform"
provider: "aws"
docs: "https://docs.aws.amazon.com/clean-rooms/latest/userguide/machine-learning.html"
defaults:
  managed: true
  modelRegistry: false
  experimentTracking: false
  publicAccess: false
properties:
  modelType:
    type: "enum"
    values: ["lookalike", "custom"]
    default: "lookalike"
  automaticRetraining:
    type: "boolean"
    default: false
  shareRelevanceMetrics:
    type: "boolean"
    default: false

The same page as markdown, for an agent: /catalogue/components/aws-clean-rooms-ml.md