Classes and capabilities

• Index
  • Why the index is needed?
  • DatasetIndex
  • FilesIndex
• Dataset
  • Creating a dataset
  • Preloading data
  • Adding custom data
  • Splitting a dataset
  • Cross-validation
  • Iterating over a dataset
  • Custom batch class
  • API
• Batch class
  • Index
  • Data
  • Dataset
  • Action methods
  • Models and model-based actions
  • Running methods in parallel
  • Writing your own Batch
• Batch class for handling images
  • Components
  • Conversion between formats
  • Augmentation
  • Loading from files
  • Saving
  • transform_actions decorator
  • Defining custom actions
  • Assembling after parallel execution
  • Cropping to patches
• Pipeline
  • Introduction
  • Actions
  • Before and after pipelines
  • Algebra of pipelines
  • Creating pipelines
  • Running pipelines
  • Pipeline variables
  • Update
  • Pipeline locks
  • Join and merge
  • Rebatch
  • Exceptions
  • Models
  • Debugging
  • API
• Named expressions
  • Using in pipelines
  • Using outside of pipelines
  • Operations with expressions
  • B - batch component
  • V - pipeline variable
  • C - config option
  • D - dataset attribute
  • I - iterations counter
  • F - callable
  • R - random value
  • W - a wrapper
  • P - a parallel wrapper
  • PP - a parallel wrapper
• Within batch parallelism
  • Basic usage
  • Parallelized methods
  • Decorator arguments
  • Additional decorator arguments
  • Init function
  • Post function
  • Targets
  • Arguments with default values
  • Number of parallel jobs
  • Writing numba-methods
• Inter-batch parallelism
  • Blocked method
• Working with models
  • Model class
  • Model types
  • Adding a model to a pipeline
  • Configuring a model
  • Training a model
  • Predicting with a model
  • Loading a model
  • Saving a model
  • Models and template pipelines
  • Importing models
  • Parallel training
  • Ready to use models
  • Model metrics
• Torch models
  • Getting started
  • Model structure
  • How to configure a model
  • How to write a custom model
  • Ready to use models
• Research
  • Basic usage
  • Flexible way to define parameters domain
  • More details
• Model zoo
  • Torch