Properties (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Machine Learning Tool
|
| gptkbp:developedBy |
gptkb:Amazon_Web_Services
|
| gptkbp:enables |
Fairness assessment
|
| gptkbp:hasAccessTo |
gptkb:AWS_Management_Console
gptkb:AWS_CLI AWS_SDKs |
| https://www.w3.org/2000/01/rdf-schema#label |
Amazon SageMaker Clarify
|
| gptkbp:integratesWith |
Amazon SageMaker
|
| gptkbp:isAvailableIn |
Startups
Small businesses Multiple AWS regions Enterprise use |
| gptkbp:isCompatibleWith |
Python
R Jupyter notebooks |
| gptkbp:isCriticizedFor |
Yes
|
| gptkbp:isDesignedFor |
Data scientists
Machine learning engineers |
| gptkbp:isOptimizedFor |
Cloud environments
On-premises environments |
| gptkbp:isPartOf |
Amazon SageMaker suite
AWS_AI_services AWS_analytics_services AWS_data_services AI/ML_governance_solutions |
| gptkbp:isSuitableFor |
Yes
|
| gptkbp:isUsedFor |
Risk management
Regulatory compliance Model auditing |
| gptkbp:isUsedIn |
Financial services
Healthcare Retail |
| gptkbp:mayHave |
Training datasets
Inference datasets Reports on model explainability Reports on model fairness |
| gptkbp:offers |
Automated bias detection
Model explainability reports |
| gptkbp:provides |
Visualization tools
Bias detection Model performance metrics Data bias metrics Explainability for machine learning models |
| gptkbp:security |
Yes
|
| gptkbp:supports |
Batch processing
Data preprocessing Custom metrics Real-time processing Model evaluation Multi-user collaboration |
| gptkbp:uses |
Feature importance analysis
SHAP values |