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
Using MLflow
Using Neptune.ai
Using Weights and Biases
Novel Link Prediction
Performance Tricks
Extending PyKEEN
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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Trackers
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Trackers
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Trackers
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Using MLflow
Pipeline Example
HPO Example
Reusing Experiments
Adding Tags
Using Neptune.ai
Preparation
Pipeline Example
Reusing Experiments
Adding Tags
Using Weights and Biases
Pipeline Example
HPO Example
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v: v1.1.0
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