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PyTerrier 0.13.0
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PyTerrier 0.13.0

Guides

  • Installing and Configuring
  • Importing Datasets
  • Terrier Indexing
  • Terrier Retrieval
  • Running Experiments
  • Query Rewriting & Expansion
  • Learning to Rank

Explanations & Illustrations

  • PyTerrier Data Model
  • PyTerrier Transformers
  • Operators on Transformers
  • Examples of Retrieval Pipelines
  • Working with Document Texts
  • Neural Rankers and Rerankers
  • Accessing Terrier’s Index API
  • Parallelisation
  • Tuning Transformer Pipelines
  • Experiments on TREC Robust 2004

Other Modules

  • pyterrier.io - Reading/writing files
  • pyterrier.apply - Custom Transformers
  • pyterrier.new - Creating new dataframes
  • pyterrier.debug - Transformers for Debugging

Extensions

  • Adaptive Retrieval
  • Alpha Features
    • Artifacts
    • Dataframe Builder
    • Rank Biased Overlap (RBO)
    • Inspection
    • Alpha Input/Output Components
    • Transform Function Decorators
    • Other Alpha Utils
    • Input Validation
  • Anserini
    • Extras
    • API Documentation
  • API Services
    • Pinecone
    • Semantic Scholar
  • AutoQrels
  • Caching
    • Caching Scorer / Re-Ranker Results
    • Caching Indexing Pipeline Results
    • Caching Retriever Results
    • Extra Caching Utilities
  • ChatNoir
  • CIFF
  • ColBERT
  • DeepCT
  • DeepImpact
  • Dense Retrieval
    • Overview
    • Encoding
    • Indexing & Retrieval
    • Pseudo-Relevance Feedback
    • Diversity
  • Doc2Query
  • Document Quality
  • GenRank
  • OpenNIR
  • PISA
  • Sentence Transformers
  • SPLADE
  • T5

Indices and tables

  • Index
  • Bibliography
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API Services¶

pyterrier-services provides PyTerrier transformers for various API services.

Install pyterrier-services with pip¶
pip install pyterrier-services
  • Pinecone
  • Semantic Scholar
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