|
gptkbp:instance_of
|
gptkb:machine_learning
|
|
gptkbp:api
|
gptkb:API
REST API
Python API
g RPC API
|
|
gptkbp:community_support
|
Active Community
|
|
gptkbp:components
|
TFX Components
|
|
gptkbp:design
|
gptkb:True
|
|
gptkbp:developed_by
|
gptkb:Google
|
|
gptkbp:has_documentation
|
Official Documentation
|
|
gptkbp:has_features
|
Data Validation
Feature Engineering
Model Validation
Pipeline Management
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Tensor Flow Extended
|
|
gptkbp:integrates_with
|
gptkb:Tensor_Flow
gptkb:Kubeflow
gptkb:weapons
|
|
gptkbp:is_adopted_by
|
Academia
Enterprises
Government Agencies
Startups
|
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow_2.x
|
|
gptkbp:is_designed_for
|
Production ML Workflows
|
|
gptkbp:is_documented_in
|
gptkb:Official_Website
gptkb:Git_Hub
Research Papers
Community Forums
|
|
gptkbp:is_open_source
|
gptkb:True
|
|
gptkbp:is_part_of
|
gptkb:cloud_computing
gptkb:Tensor_Flow_Ecosystem
gptkb:Data_Science
Big Data Analytics
AI Development
ML Workflow
|
|
gptkbp:is_scalable
|
gptkb:True
|
|
gptkbp:is_supported_by
|
gptkb:AWS
gptkb:Google_Cloud_Platform
gptkb:Azure
|
|
gptkbp:is_used_by
|
Data Scientists
Machine Learning Engineers
|
|
gptkbp:is_used_in
|
On-Premise Solutions
Edge Devices
Cloud ML Services
|
|
gptkbp:language
|
gptkb:Python
|
|
gptkbp:provides
|
Data Preprocessing
Monitoring
Metadata Management
Model Training
Model Deployment
Pipeline Orchestration
|
|
gptkbp:release_date
|
gptkb:2019
|
|
gptkbp:supports
|
Batch Processing
Transformations
Data Validation
Streaming Data
Model Analysis
Serving Models
|
|
gptkbp:tutorials
|
Online Tutorials
|
|
gptkbp:used_for
|
End-to-End Machine Learning Pipelines
|
|
gptkbp:bfsParent
|
gptkb:Tensor_Flow
|
|
gptkbp:bfsLayer
|
4
|