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gptkbp:instance_of
|
gptkb:software_framework
|
|
gptkbp:api
|
gptkb:Java
gptkb:Go
gptkb:server
|
|
gptkbp:can_be_extended_by
|
custom metrics
|
|
gptkbp:can_be_used_with
|
gptkb:Jupyter_notebooks
|
|
gptkbp:community_support
|
gptkb:theorem
|
|
gptkbp:constructed_in
|
microservices architecture
|
|
gptkbp:deployment
|
cloud environments
on-premises servers
|
|
gptkbp:developed_by
|
gptkb:Seldon
|
|
gptkbp:enables
|
canary deployments
|
|
gptkbp:has_documentation
|
available online
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Seldon platform
|
|
gptkbp:integrates_with
|
gptkb:fortification
data pipelines
|
|
gptkbp:is_available_in
|
multiple languages
|
|
gptkbp:is_available_on
|
gptkb:archive
|
|
gptkbp:is_compatible_with
|
gptkb:Graphics_Processing_Unit
gptkb:Kubeflow
gptkb:scikit-learn
gptkb:Py_Torch
M Lflow
|
|
gptkbp:is_designed_for
|
continuous delivery
|
|
gptkbp:is_documented_in
|
official website
|
|
gptkbp:is_evaluated_by
|
industry analysts
|
|
gptkbp:is_open_source
|
gptkb:theorem
|
|
gptkbp:is_optimized_for
|
cloud-native applications
|
|
gptkbp:is_part_of
|
AI infrastructure
ML Ops ecosystem
Seldon suite
|
|
gptkbp:is_promoted_by
|
data science communities
|
|
gptkbp:is_recognized_by
|
tech awards
|
|
gptkbp:is_scalable
|
gptkb:theorem
|
|
gptkbp:is_supported_by
|
cloud providers
Seldon community
|
|
gptkbp:is_used_by
|
data scientists
large enterprises
startups
machine learning engineers
Dev Ops teams
|
|
gptkbp:is_used_for
|
model deployment
model management
model serving
|
|
gptkbp:is_used_in
|
production environments
|
|
gptkbp:offers
|
model versioning
A/ B testing
|
|
gptkbp:provides
|
gptkb:operating_system
performance metrics
security features
logging capabilities
model monitoring
API for predictions
|
|
gptkbp:suitable_for
|
enterprise applications
|
|
gptkbp:supports
|
gptkb:R
gptkb:Library
real-time predictions
model retraining
batch predictions
model explainability
multi-model serving
|
|
gptkbp:bfsParent
|
gptkb:Seldon_Deploy
|
|
gptkbp:bfsLayer
|
7
|