TFX
E457341
TFX is an end-to-end production machine learning platform built on TensorFlow that supports scalable data processing, model training, validation, and deployment.
All labels observed (1)
| Label | Occurrences |
|---|---|
| TFX canonical | 1 |
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
TensorFlow ecosystem component
ⓘ
machine learning platform ⓘ software framework ⓘ |
| builtOn | TensorFlow NERFINISHED ⓘ |
| developedBy | Google NERFINISHED ⓘ |
| enables |
continuous evaluation
ⓘ
continuous training ⓘ model monitoring workflows ⓘ reproducible ML pipelines ⓘ |
| includesComponent |
BulkInferrer
NERFINISHED
ⓘ
Evaluator ⓘ ExampleGen NERFINISHED ⓘ ExampleValidator NERFINISHED ⓘ Importer ⓘ InfraValidator NERFINISHED ⓘ Pusher NERFINISHED ⓘ Resolver ⓘ SchemaGen NERFINISHED ⓘ StatisticsGen NERFINISHED ⓘ Trainer ⓘ Transform ⓘ Tuner ⓘ |
| includesLibrary |
ML Metadata
NERFINISHED
ⓘ
TensorFlow Data Validation NERFINISHED ⓘ TensorFlow Model Analysis NERFINISHED ⓘ TensorFlow Transform NERFINISHED ⓘ |
| integratesWith |
Kubeflow
NERFINISHED
ⓘ
TensorFlow Lite NERFINISHED ⓘ TensorFlow Serving NERFINISHED ⓘ |
| license | Apache License 2.0 ⓘ |
| provides |
data validation tools
ⓘ
metadata tracking ⓘ model analysis tools ⓘ model serving integration ⓘ pipeline orchestration APIs ⓘ standard ML pipeline components ⓘ |
| supports |
end-to-end machine learning pipelines
ⓘ
model deployment ⓘ model training ⓘ model validation ⓘ orchestration with Apache Airflow ⓘ orchestration with Apache Beam ⓘ orchestration with Kubeflow Pipelines ⓘ production machine learning workflows ⓘ scalable data processing ⓘ |
| targetEnvironment |
cloud
ⓘ
on-premises ⓘ production ⓘ |
| targetUser |
data scientists
ⓘ
machine learning engineers ⓘ |
| uses | TensorFlow Extended components NERFINISHED ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.