API Evangelist conversational phrasing for Microsoft Azure Personalizer Client 2022-09-01-preview…

# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Microsoft Azure Personalizer Client 2022-09-01-preview…
  version: 1.0.0
extends: openapi/microsoft-azure-featureimportances20220901preview-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-09-26'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 4
- target: $.paths['/featureImportances/{featureImportanceId}'].get
  update:
    x-apievangelist-phrasing:
      intent: Get a feature importance job
      effect: read
      questions:
      - Which variables mattered most in a feature importance run I submitted?
      - What is the status of one feature importance job?
      instructions:
      - text: Get feature importance {featureImportanceId}.
        slots:
          featureImportanceId: path.featureImportanceId
      - text: Show the results of feature importance job {featureImportanceId}.
        slots:
          featureImportanceId: path.featureImportanceId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/featureImportances/{featureImportanceId}'].put
  update:
    x-apievangelist-phrasing:
      intent: Submit a feature importance job
      effect: write
      questions:
      - How do I find out which features drive my anomaly model over a time window?
      - Can I run a feature importance analysis on a specific date range?
      instructions:
      - text: Create feature importance job {featureImportanceId} named {name} from {startTime} to {endTime}.
        slots:
          featureImportanceId: path.featureImportanceId
          name: requestBody.name
          startTime: requestBody.startTime
          endTime: requestBody.endTime
      - text: Submit feature importance {featureImportanceId} for the window {startTime} to {endTime}.
        slots:
          featureImportanceId: path.featureImportanceId
          startTime: requestBody.startTime
          endTime: requestBody.endTime
      method: generated
      generated: '2026-09-26'
- target: $.paths['/featureImportances/{featureImportanceId}'].delete
  update:
    x-apievangelist-phrasing:
      intent: Delete a feature importance job
      effect: destructive
      questions:
      - How do I clean up an old feature importance result?
      - Can I delete a feature importance job by ID?
      instructions:
      - text: Delete feature importance {featureImportanceId}.
        slots:
          featureImportanceId: path.featureImportanceId
      - text: Remove feature importance job {featureImportanceId} and its results.
        slots:
          featureImportanceId: path.featureImportanceId
      method: generated
      generated: '2026-09-26'
- target: $.paths['/featureImportances'].get
  update:
    x-apievangelist-phrasing:
      intent: List feature importance jobs
      effect: read
      questions:
      - Which feature importance jobs have I run so far?
      - Can I page through feature importances with skip and top?
      instructions:
      - text: List all my feature importance jobs.
      - text: Show {top} feature importances, skipping the first {skip}.
        slots:
          top: query.top
          skip: query.skip
      method: generated
      generated: '2026-09-26'