slug: adaption
provider: Adaption
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 1
edges:
- tag: Datasets
  spec_file: adaption-datasets-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: '''The Adaptive Data API lets you ingest, adapt, evaluate, and export model-ready training
    datasets'' and ''Run the adaptation pipeline'', ''Get dataset quality evaluation'''
  reason: The operations manage the lifecycle of training datasets that feed model development — creation,
    pipeline run, quality evaluation, export/publish. That is squarely AI/ML lifecycle and data tooling
    (BC-610.60 Artificial Intelligence Management, under Information & Data Management). Some ambiguity
    with Data Quality Management since evaluation is prominent, hence 0.7 rather than higher.