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Ray 3.0.0.dev0
Welcome to Ray!
Ray
Overview
Getting Started
Installation
Use Cases
Example Gallery
Ecosystem
Ray Core
Ray Data
Ray Train
Ray Tune
Ray Serve
Ray RLlib
More Libraries
Ray Clusters
Monitoring and Debugging
References
Ray AIR API
Preprocessor (Ray Data + Ray Train)
Dataset Ingest (Ray Data + Ray Train)
AIR Configurations (Ray Train + Ray Tune)
ray.air.RunConfig
ray.air.ScalingConfig
ray.air.CheckpointConfig
ray.air.FailureConfig
Trainers (Ray Train)
Tuner (Ray Tune)
ML Library Integrations (Ray Train + Ray Tune)
Experiment Tracking Integrations (Ray Train + Ray Tune)
AIR Session (Ray Train + Ray Tune)
Results (Ray Train + Ray Tune)
AIR Checkpoint (All Libraries)
Predictors (Ray Data + Ray Train)
Ray Data API
Ray Train API
Ray Tune API
Ray Serve API
Ray RLlib API
Ray Workflows API
Ray Cluster Management API
Ray Core API
Usage Stats Collection
Ray Glossary
Developer Guides
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ray.air.CheckpointConfig.num_to_keep
ray.air.CheckpointConfig.num_to_keep
#
CheckpointConfig.
num_to_keep
:
Optional
[
int
]
=
None
#