Pointwise learning
In pointwise learning, each training instance is a single (query, document) pair labelled with a relevance score. The model is trained to predict this score directly (e.g. via regression or classification).
Sampler
- XPM Configxpmir.letor.samplers.PointwiseModelBasedSampler(*, dataset, retriever, relevant_ratio)[source]
Bases:
ModelBasedSampler,Sampler[PointwiseItem]- dataset: datamaestro_ir.data.Adhoc
The IR adhoc dataset
- retriever: xpmir.rankers.retriever.Retriever
A retriever to sample negative documents