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Getting Started

  • Installation
  • First Steps
  • Tracking Results during Training
  • Saving Checkpoints during Training
  • A Toy Example with Translational Distance Models
  • Understanding the Evaluation
  • Optimizing a Model’s Hyper-parameters
  • Novel Link Prediction
  • Running an Ablation Study
  • Performance Tricks

Bring Your Own

  • Bring Your Own Data
  • Bring Your Own Interaction

Extending PyKEEN

  • Extending the Datasets
  • Extending the Models
  • Extending the Interaction Models (Old-Style)

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
pykeen
  • »
  • Python Module Index

Python Module Index

a | c | d | e | l | m | n | p | r | s | t | u
 
a
pykeen.ablation
 
c
pykeen.constants
 
d
- pykeen.datasets
    pykeen.datasets.base
 
e
- pykeen.evaluation
    pykeen.evaluation.rank_based_evaluator
    pykeen.evaluation.sklearn
 
l
pykeen.losses
 
m
- pykeen.models
    pykeen.models.multimodal
    pykeen.models.predict
    pykeen.models.resolve
    pykeen.models.unimodal
 
n
- pykeen.nn
    pykeen.nn.emb
    pykeen.nn.functional
    pykeen.nn.init
    pykeen.nn.modules
    pykeen.nn.sim
 
p
pykeen
- pykeen.pipeline
    pykeen.pipeline.api
 
r
pykeen.regularizers
 
s
pykeen.sampling
pykeen.stoppers
 
t
pykeen.trackers
- pykeen.triples
    pykeen.triples.deteriorate
    pykeen.triples.leakage
    pykeen.triples.remix
    pykeen.triples.utils
pykeen.typing
 
u
pykeen.utils

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