AWS SageMaker Experiments

GPTKB entity

Properties (67)
Predicate Object
gptkbp:instanceOf gptkb:Cloud_Computing_Service
gptkbp:allows custom metrics tracking
versioning of models
gptkbp:enables model optimization
comparison of model performance
tracking of metrics
experiment reproducibility
gptkbp:facilitates reproducibility of experiments
gptkbp:hasAccessTo gptkb:AWS_CLI
https://www.w3.org/2000/01/rdf-schema#label AWS SageMaker Experiments
gptkbp:integratesWith AWS SageMaker
gptkbp:integration CI/CD pipelines
third-party tools
gptkbp:isAccessibleBy REST_API
gptkbp:isAvailableIn enterprise users
multiple_AWS_regions
gptkbp:isCompatibleWith Docker containers
Jupyter notebooks
Python SDK
gptkbp:isCounteredBy gptkb:Amazon_CloudWatch
gptkb:AWS_Management_Console
AWS_SDKs
gptkbp:isDocumentedIn AWS documentation
AWS_whitepapers
gptkbp:isIntegratedWith gptkb:AWS_Glue
gptkbp:isOptimizedFor large-scale experiments
gptkbp:isPartOf data science projects
machine learning workflow
AWS SageMaker suite
AI development lifecycle
cloud-based machine learning solutions
AWS_ecosystem
gptkbp:isSuitableFor large datasets
gptkbp:isSupportedBy AWS_support_team
gptkbp:isUsedBy data scientists
gptkbp:isUsedFor gptkb:AWS_Lambda
data preprocessing
model evaluation
various data sources
model deployment
model training
hyperparameter optimization
track training jobs
manage experiment metadata
track model performance over time
gptkbp:isUtilizedFor machine learning engineers
gptkbp:offers API for programmatic access
gptkbp:provides user-friendly interface
visualization tools
collaborative features
experiment tracking
experiment lineage tracking
experiment metrics
experiment summaries
experiment comparison features
experiment results analysis
gptkbp:security gptkb:AWS_IAM
gptkbp:supports collaboration among teams
hyperparameter tuning
data versioning
distributed training
real-time inference
experiment sharing
multiple experiment runs
experiment tagging
experiment documentation
gptkbp:uses metadata for experiments