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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)
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.train.predictor.Predictor
ray.train.predictor.Predictor.from_checkpoint
ray.train.predictor.Predictor.from_pandas_udf
ray.train.predictor.Predictor.get_preprocessor
ray.train.predictor.Predictor.set_preprocessor
ray.train.predictor.Predictor.predict
ray.train.predictor.Predictor.preferred_batch_format
ray.train.predictor.DataBatchType
ray.train.batch_predictor.BatchPredictor
ray.train.batch_predictor.BatchPredictor.from_checkpoint
ray.train.batch_predictor.BatchPredictor.from_pandas_udf
ray.train.batch_predictor.BatchPredictor.predict
ray.train.batch_predictor.BatchPredictor.predict_pipelined
ray.train.xgboost.XGBoostPredictor
ray.train.lightgbm.LightGBMPredictor
ray.train.tensorflow.TensorflowPredictor
ray.train.torch.TorchPredictor
ray.train.huggingface.TransformersPredictor
ray.train.sklearn.SklearnPredictor
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.train.tensorflow.TensorflowPredictor.preferred_batch_format
ray.train.tensorflow.TensorflowPredictor.preferred_batch_format
#
classmethod
TensorflowPredictor.
preferred_batch_format
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)
→
ray.air.util.data_batch_conversion.BatchFormat
#
DeveloperAPI:
This API may change across minor Ray releases.