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Combiner

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Home
Getting Started
Anatomy of a Training
Core Concepts
Guide
Guide
- Essentials
  Essentials
  - Entry
  - Datasets
  - Transforms
    Transforms
    
    Overview
    
    DataTransform
    
    EntryTransform
  - IO Binding
  - Models
    Models
    
    Overview
    
    Model
  - Metrics
    Metrics
    
    Using Metrics
    
    Writing a Metric
    
    Classification Metrics
    
    External Metrics
  - Code or Config?
  - Configuration
  - Writing Scripts
- Running real experiments
  Running real experiments
- Advanced & scaling
  Advanced & scaling
Reference
Reference
API
API
- Config
- Registry
- Deprecation
- Models
  Models
  - Basic
  - SISR
    SISR
    
    DSen2
    
    FSRCNN
  - MISR
    MISR
    
    MagNAt
    
    RAMS
    
    TRMISR
- Transforms
- Data
  Data
  - Core Structures
  - Graph Entry
  - Collation
  - Loader
  - Multispectral
    Multispectral
    
    Overview
    
    Descriptors
    
    Utilities
- Datasets
  Datasets
- Metrics
  Metrics
  - Metrics
  - Metric (base class)
  - Scores
  - Combiner Combiner
    Table of contents
    
    combiner
  - Loss Scheduler
  - Regression
  - Classification
  - Image
  - Wrappers
  - Regularization
  - Adversarial
  - Adapters
- Training
  Training
- Neural Networks
  Neural Networks
  - Graph
    Graph
    
    Overview
    
    Convolution
    
    Interpolation
- Utilities
  Utilities
  - IO

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combiner

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SR-Forge

Combiner¶

Several metrics evaluated together: the criterion a trainer uses.

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