slug: google-tensorflow
provider: Google TensorFlow
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: 2
edges:
- tag: Model Status
  spec_file: google-tensorflow-model-status-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: '"Get model status", "Get model metadata"; "model versioning and lifecycle management"'
  reason: Status and metadata of served ML models supports AI/ML model lifecycle and MLOps operations,
    which is Artificial Intelligence Management.
- tag: Prediction
  spec_file: google-tensorflow-prediction-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /v1/models/{model_name}:predict, :classify, :regress — "running inference on trained
    TensorFlow models"
  reason: Serving inference from trained ML models is part of the AI/ML model lifecycle and MLOps capability
    under Information & Data Management.