Pusher

E457349

Pusher is a TensorFlow Extended (TFX) component responsible for validating and deploying trained machine learning models to serving infrastructure.

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Statements (46)

Predicate Object
instanceOf TFX component
software component
configuredWith Pusher component arguments
PusherSpec
consumes model blessing artifacts
trained model artifacts
developedBy Google NERFINISHED
documentedAt https://www.tensorflow.org/tfx/guide/pusher
domain MLOps NERFINISHED
machine learning engineering
ensures only validated models are deployed
traceability of deployed models via metadata
goal make validated models available for serving
hasFeature conditional model pushing based on validation
integration with ML Metadata
support for custom push destinations
versioned model deployment
implementedIn Python NERFINISHED
inputFrom Evaluator
Trainer
outputs deployment metadata
pushed model artifacts
partOf TFX pipeline
TensorFlow Extended NERFINISHED
platform TensorFlow ecosystem NERFINISHED
requires a blessed model from Evaluator
a trained model from Trainer
responsibleFor checking model blessing status
exporting models for serving
model deployment
model validation
pushing models to serving infrastructure
supports CI/CD style model rollout
TensorFlow Serving deployment
cloud storage deployment
custom deployment targets
local filesystem deployment
usedIn ML production workflows
machine learning pipelines
usedWith Evaluator
ExampleGen NERFINISHED
ExampleValidator NERFINISHED
SchemaGen NERFINISHED
StatisticsGen NERFINISHED
Trainer
Transform

Referenced by (1)

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