slug: bigml provider: BigML 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: 11 edges: - tag: Supervised Learning spec_file: bigml-supervised-learning-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.93 evidence: POST /logisticregression 'Create a Logistic Regression Model'; POST /deepnet 'Create a Deepnet' reason: Creation and management of supervised ML models (logistic/linear regression, deepnets) — unambiguously AI/ML model lifecycle management. - tag: Anomaly Detection spec_file: bigml-anomaly-detection-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.92 evidence: POST /anomaly createAnomaly 'Create an Anomaly Detector'; POST /anomalyscore 'Create an Anomaly Score' reason: Operations create and manage unsupervised ML anomaly-detection models and score records — ML model lifecycle, not financial-crime alerting. Maps to Artificial Intelligence Management. - tag: Clustering spec_file: bigml-clustering-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.92 evidence: POST /cluster createCluster 'Create a Cluster'; POST /centroid 'Create a Centroid (assign cluster)' reason: Unsupervised ML model creation and inference; clearly AI/ML model lifecycle management. - tag: Ensembles spec_file: bigml-ensembles-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.92 evidence: POST /ensemble createEnsemble 'Create an Ensemble' reason: Creation and management of ensemble ML models — AI/ML model lifecycle. - tag: Models spec_file: bigml-models-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.92 evidence: 'POST /model createModel ''Create a Model''; schemas: Model, ResourceStatus' reason: CRUD over machine-learning models on an ML platform — AI/ML model lifecycle management. - tag: Evaluations spec_file: bigml-evaluations-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.88 evidence: POST /evaluation createEvaluation 'Create an Evaluation' reason: Model performance evaluation on the ML platform — a core MLOps/model-lifecycle activity, not general quality management. - tag: Predictions spec_file: bigml-predictions-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.88 evidence: POST /prediction createPrediction 'Create a Prediction' reason: ML model inference operations; part of AI/ML model lifecycle and MLOps rather than any forecasting business process. - tag: Batch Operations spec_file: bigml-batch-operations-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.85 evidence: POST /batchprediction createBatchPrediction 'Create a Batch Prediction'; POST /batchanomalyscore 'Create a Batch Anomaly Score' reason: Despite the generic 'Batch Operations' tag, the operations are bulk ML inference (predictions, centroids, anomaly scores) — part of the AI/ML model lifecycle and MLOps. - tag: Unsupervised Learning spec_file: bigml-unsupervised-learning-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.85 evidence: POST /topicmodel createTopicModel Create a Topic Model; POST /pca createPCA Create a PCA Model reason: CRUD over topic models, association discovery and PCA models is ML model lifecycle management, squarely Artificial Intelligence Management. - tag: Time Series spec_file: bigml-time-series-api-openapi.yml capability_id: BC-610.60 capability_id_l1: BC-610 capability_name: Artificial Intelligence Management confidence: 0.82 evidence: POST /timeseries createTimeSeries Create a Time Series; POST /forecast createForecast Create a Forecast reason: Operations create, train and manage time-series forecasting models and generate forecasts — machine-learning model lifecycle on an ML platform, i.e. AI/ML management rather than any finance or planning capability. - tag: Datasets spec_file: bigml-datasets-api-openapi.yml capability_id: BC-610 capability_id_l1: BC-610 capability_name: Information & Data Management confidence: 0.7 evidence: POST /dataset createDataset 'Create a Dataset' reason: Dataset lifecycle management within an ML platform; clearly information & data management but ambiguous between data architecture and AI model-lifecycle sub-capabilities.