sentence-transformers/docs/package_reference/sparse_encoder/evaluation.md

# Evaluation

`sentence_transformers.sparse_encoder.evaluation` defines different classes, that can be used to evaluate the SparseEncoder model during training.

## SparseInformationRetrievalEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseInformationRetrievalEvaluator
```

## SparseNanoBEIREvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseNanoBEIREvaluator
``` 

## SparseEmbeddingSimilarityEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseEmbeddingSimilarityEvaluator
```

## SparseBinaryClassificationEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseBinaryClassificationEvaluator
```

## SparseTripletEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseTripletEvaluator
```

## SparseRerankingEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseRerankingEvaluator
```

## SparseTranslationEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseTranslationEvaluator
```

## SparseMSEEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.SparseMSEEvaluator
```

## ReciprocalRankFusionEvaluator
```{eval-rst}
.. autoclass:: sentence_transformers.sparse_encoder.evaluation.ReciprocalRankFusionEvaluator