[nlp_shap.absence_policies]
delete = nlp_shap.masking.policies:DeletePolicy
neutral = nlp_shap.masking.policies:NeutralPolicy
pad = nlp_shap.masking.policies:PadPolicy

[nlp_shap.backends]
lmstudio = nlp_shap.backends.lmstudio:LmStudioBackend
mock = nlp_shap.backends.mock:MockBackend

[nlp_shap.estimands]
banzhaf = nlp_shap.estimation.estimands.banzhaf:BanzhafAggregator
shapley = nlp_shap.estimation.estimands.shapley:ShapleyAggregator

[nlp_shap.estimators]
complementary = nlp_shap.estimation.complementary:ComplementaryEstimator
exact = nlp_shap.estimation.exact:ExactEstimator
mc = nlp_shap.estimation.monte_carlo:MonteCarloEstimator
neyman_cc = nlp_shap.estimation.neyman:NeymanEstimator

[nlp_shap.normalizers]
abs_sum = nlp_shap.estimation.normalizers:AbsSumNormalizer
identity = nlp_shap.estimation.normalizers:IdentityNormalizer
min_max = nlp_shap.estimation.normalizers:MinMaxNormalizer
power_shift = nlp_shap.estimation.normalizers:PowerShiftNormalizer

[nlp_shap.partitions]
tokens = nlp_shap.masking.partitions:TokenPartitioner

[nlp_shap.value_fns]
embedding_cosine = nlp_shap.value.embedding:CosineEmbeddingValue
embedding_euclidean = nlp_shap.value.embedding:EuclideanEmbeddingValue
logprob = nlp_shap.value.logprob:LogprobValue
tfidf_cosine = nlp_shap.value.tfidf:TfIdfCosineValue

