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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
Ray Data API
Input/Output
Dataset API
DataIterator API
ExecutionOptions API
GroupedData API
DataContext API
RandomAccessDataset (experimental)
Utility
API Guide for Users from Other Data Libraries
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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.pdf
Ray Data API
Ray Data API
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Input/Output
Synthetic Data
Python Objects
Parquet
CSV
JSON
Text
Images
Binary
TFRecords
Pandas
NumPy
Arrow
MongoDB
SQL Databases
Dask
Spark
Modin
Mars
Torch
Hugging Face
TensorFlow
WebDataset
Datasource API
Partitioning API
MetadataProvider API
BlockWritePathProvider API
Dataset API
Constructor
Basic Transformations
Sorting, Shuffling, Repartitioning
Splitting and Merging Datasets
Grouped and Global Aggregations
Consuming Data
I/O and Conversion
Inspecting Metadata
Execution
Serialization
Internals
DataIterator API
ray.data.DataIterator.iter_batches
ray.data.DataIterator.iter_torch_batches
ray.data.DataIterator.to_tf
ray.data.DataIterator.stats
ExecutionOptions API
Constructor
Resource Options
GroupedData API
Constructor
Computations / Descriptive Stats
Function Application
Aggregate Function
DataContext API
Constructor
Get DataContext
RandomAccessDataset (experimental)
Constructor
Functions
Utility
ray.data.set_progress_bars
API Guide for Users from Other Data Libraries
For Pandas Users
For PyArrow Users
For PyTorch Dataset & DataLoader Users