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v1.0.5

Getting Started

  • Installation
  • First Steps
  • Understanding the Evaluation
  • Toy Example with Translational Distance Models
  • Optimizing a Model
  • Running an Ablation Study
  • Bring Your Own Data
  • Trackers
    • Using MLflow
    • Using Weights and Biases
  • Novel Link Prediction
  • Performance Tricks

Reference

  • Pipeline
  • Models
  • Datasets
  • Triples
  • Training
  • Stoppers
  • Loss Functions
  • Regularizers
  • Result Trackers
  • Evaluation
  • Negative Sampling
  • Hyper-parameter Optimization
  • Ablation
  • Lookup
  • Sealant

Appendix

  • References
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  • Trackers
  • Edit on GitHub

TrackersΒΆ

Trackers

  • Using MLflow
    • Pipeline Example
    • HPO Example
    • Reusing Experiments
  • Using Weights and Biases
    • Pipeline Example
    • HPO Example
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