Statements (100)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:cloud_service
|
| gptkbp:hasFeature |
gptkb:Python_SDK
gptkb:REST_API gptkb:graphical_user_interface gptkb:model gptkb:security gptkb:transformation gptkb:Java_SDK gptkb:data_visualization gptkb:explainable_AI gptkb:Jupyter_Notebooks gptkb:SLA gptkb:R_SDK data preprocessing feature engineering logging workflow automation data encryption data labeling monitoring versioning role-based access control alerting data validation model monitoring data export GPU support audit logging data ingestion private endpoints data versioning notebook scheduling data pipeline managed infrastructure model explainability model management notebook collaboration notebook versioning automatic scaling data import multi-region support IAM integration TPU support VPC support batch prediction billing integration custom metrics data splitting end-to-end ML workflow integration with CI/CD model export online prediction data annotation model import notebook instances pipeline orchestration C++ SDK pipeline templates notebook support API client libraries autoML support custom code support custom prediction routines data shuffling drift detection interactive development model pipeline notebook backup notebook lifecycle management notebook restore notebook security pre-built algorithms prediction jobs prediction pipeline scheduled prediction scheduled training training jobs training pipeline |
| https://www.w3.org/2000/01/rdf-schema#label |
AI Platform
|
| gptkbp:integratesWith |
gptkb:Google_Cloud_Storage
gptkb:BigQuery gptkb:Cloud_Functions gptkb:Cloud_Pub/Sub gptkb:Vertex_AI |
| gptkbp:provides |
gptkb:Google_Cloud
|
| gptkbp:supports |
gptkb:machine_learning
gptkb:TensorFlow gptkb:XGBoost gptkb:PyTorch gptkb:scikit-learn deep learning hyperparameter tuning model deployment distributed training model training custom containers model prediction pre-built containers |
| gptkbp:bfsParent |
gptkb:Vertex_AI
|
| gptkbp:bfsLayer |
5
|