Amazon Sage Maker Experiments
GPTKB entity
Statements (63)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Sage
|
| gptkbp:allows |
comparison of model performance
|
| gptkbp:api |
experiment management
|
| gptkbp:assets |
data analysis
|
| gptkbp:automated |
gptkb:AWS_Lambda
|
| gptkbp:can_be_combined_with |
other AWS services
|
| gptkbp:can_be_used_for |
tracking metrics
|
| gptkbp:can_be_used_to |
analyze experiment outcomes
manage experiment parameters |
| gptkbp:can_create |
reports on experiments
|
| gptkbp:can_provide |
experiment reproducibility
insights into model performance |
| gptkbp:enables |
reproducibility of machine learning experiments
versioning of models |
| gptkbp:enhances |
model accuracy
|
| gptkbp:facilitates |
data exploration
collaboration among data scientists A/ B testing |
| https://www.w3.org/2000/01/rdf-schema#label |
Amazon Sage Maker Experiments
|
| gptkbp:integrates_with |
gptkb:Sage
|
| gptkbp:is_accessible_by |
gptkb:AWS_Management_Console
REST APIs data scientists |
| gptkbp:is_available_in |
multiple AWS regions
|
| gptkbp:is_beneficial_for |
research and development
|
| gptkbp:is_compatible_with |
various ML frameworks
Python SDK |
| gptkbp:is_designed_for |
data-driven decision making
|
| gptkbp:is_designed_to |
improve productivity
|
| gptkbp:is_documented_in |
AWS documentation
|
| gptkbp:is_integrated_with |
gptkb:AWS_Cloud_Formation
gptkb:Jupyter_notebooks CI/ CD pipelines |
| gptkbp:is_managed_by |
gptkb:AWS_CLI
|
| gptkbp:is_optimized_for |
large-scale machine learning
|
| gptkbp:is_part_of |
AWS ecosystem
AWS AI services machine learning workflow AWS machine learning stack cloud-based ML solutions |
| gptkbp:is_scalable |
enterprise applications
|
| gptkbp:is_supported_by |
AWS support
AWS community |
| gptkbp:is_used_for |
model evaluation
experiment design |
| gptkbp:is_used_in |
data science projects
|
| gptkbp:is_used_to |
log experiment results
manage experiment workflows track experiment parameters |
| gptkbp:is_utilized_for |
model optimization
track model versions |
| gptkbp:is_utilized_in |
production environments
|
| gptkbp:offers |
visualization of experiment results
|
| gptkbp:provides |
experiment tracking
|
| gptkbp:storage |
metadata about experiments
|
| gptkbp:support |
team collaboration
iterative development |
| gptkbp:supports |
hyperparameter tuning
custom metrics experiment lineage |
| gptkbp:track |
training jobs
|
| gptkbp:bfsParent |
gptkb:AWS
|
| gptkbp:bfsLayer |
4
|