IBM Watson Knowledge Studio
Annotation workspace for building a domain type system and training a model for Discovery or NLU.
- Provider
- ibm
- Kind
- ML platform
- Category
- Compute
- Official docs
- https://cloud.ibm.com/docs/watson-knowledge-studio
- Also known as
- WKS
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| computeInstances | integer | — | no | — | inherited |
| experimentTracking | boolean | — | no | true | inherited |
| gpuEnabled | boolean | — | no | — | inherited |
| managed | boolean | — | no | false | ▸ true |
| modelRegistry | boolean | — | no | true | ▸ true |
| modelType | enum | machine-learning | rule-based | no | — | inherited |
| publicAccess | boolean | — | no | — | inherited |
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-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
nodes:
- { id: "knowledge-studio", component: "ibm-knowledge-studio" }Platform for AIalibaba-paiAWS Clean Rooms MLaws-clean-rooms-mlAmazon SageMaker AIaws-sagemakerAmazon SageMaker Canvasaws-sagemaker-canvasAmazon SageMaker Feature Storeaws-sagemaker-feature-storeManaged MLflow on Amazon SageMaker AIaws-sagemaker-mlflowAmazon SageMaker Unified Studioaws-sagemaker-unified-studioMicrosoft Foundryazure-ai-foundryAzure Machine Learningazure-machine-learningAbacus.AIabacus-aiAlteryxalteryxArgillaargillaC3 AI Platformc3-aiClearMLclearmlCometcomet-mlCVATcvatDataikudataikuDataRobotdatarobotDatasaurdatasaurDetermined AIdeterminedDomino Data Labdomino-data-labDVCdvcEncordencordFeastfeastFlyteflyteH2O.aih2oKilikiliKNIMEknimeKubeflowkubeflowLabel Studiolabel-studioLabelboxlabelboxMetaflowmetaflowGeneric ML platformml-platformMLflowmlflowneptune.aineptune-aiNVIDIA DGX Cloudnvidia-dgx-cloudPachydermpachydermPolyaxonpolyaxonProdigyprodigyRapidMiner AI Hubrapidminer
and 21 more → ML platform page# yaml-language-server: $schema=../../schema/component.schema.json # IBM Watson Knowledge Studio: a workspace where subject-matter experts annotate documents to # build a type system and train a domain machine-learning model, which is then deployed to Watson # Discovery or Natural Language Understanding ("IBM Watson Knowledge Studio"). It trains; the # deployed model serves elsewhere. schemaVersion: "1" type: "component" id: "ibm-knowledge-studio" kind: "ml-platform" provider: "ibm" docs: "https://cloud.ibm.com/docs/watson-knowledge-studio" aliases: ["WKS"] defaults: managed: true modelRegistry: true properties: modelType: type: "enum" values: ["machine-learning", "rule-based"]