pykeen
v1.1.0
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 Interaction Models
Reference
Pipeline
Models
Datasets
Triples
Training
Stoppers
Loss Functions
Regularizers
Result Trackers
Evaluation
Negative Sampling
Hyper-parameter Optimization
Ablation
Lookup
Sealant
Constants
Appendix
References
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Extending PyKEEN
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Extending PyKEEN
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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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v: v1.1.0
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