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v1.3.0

Getting Started

  • Installation
  • First Steps
  • Understanding the Evaluation
  • Toy Example with Translational Distance Models
  • Using Checkpoints
  • Optimizing a Model
  • Running an Ablation Study
  • Bring Your Own Data
  • Trackers
  • Novel Link Prediction
  • Performance Tricks
  • Extending PyKEEN
    • Extending the Datasets
    • Extending the Interaction Models

Reference

  • Pipeline
  • Models
  • Datasets
  • Triples
  • Training
  • Stoppers
  • Loss Functions
  • Regularizers
  • Result Trackers
  • Evaluation
  • Negative Sampling
  • Hyper-parameter Optimization
  • Ablation
  • Lookup
  • Prediction
  • Sealant
  • Constants
  • pykeen.nn
  • Utilities

Appendix

  • References
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  • Extending PyKEEN
  • Edit on GitHub

Extending PyKEENΒΆ

  • Extending the Datasets
    • Pre-split Datasets
      • Unpacked Remote Dataset
    • Unsplit Datasets
    • Updating the setup.cfg
  • Extending the Interaction Models
    • Picking a Base Class
    • Implementing score_hrt()
    • Using a Custom Model with the Pipeline
    • Adding Defaults
    • Implementing a Custom __init__()
    • Adding Custom HPO Default Ranges
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