Python Module Index

l


	l
	`lm_polygraph`
	`lm_polygraph.app`
	`lm_polygraph.app.parsers`
	`lm_polygraph.app.test_service`
	`lm_polygraph.estimators`
	`lm_polygraph.estimators.claim_conditioned_probability`
	`lm_polygraph.estimators.common`
	`lm_polygraph.estimators.conditional_pointwise_mutual_information`
	`lm_polygraph.estimators.deg_mat`
	`lm_polygraph.estimators.eccentricity`
	`lm_polygraph.estimators.eig_val_laplacian`
	`lm_polygraph.estimators.ensemble_sequence_measures`
	`lm_polygraph.estimators.ensemble_token_measures`
	`lm_polygraph.estimators.estimator`
	`lm_polygraph.estimators.fisher_rao`
	`lm_polygraph.estimators.lexical_similarity`
	`lm_polygraph.estimators.mahalanobis_distance`
	`lm_polygraph.estimators.max_probability`
	`lm_polygraph.estimators.monte_carlo_normalized_sequence_entropy`
	`lm_polygraph.estimators.monte_carlo_sequence_entropy`
	`lm_polygraph.estimators.num_sem_sets`
	`lm_polygraph.estimators.p_true`
	`lm_polygraph.estimators.p_true_sampling`
	`lm_polygraph.estimators.perplexity`
	`lm_polygraph.estimators.pointwise_mutual_information`
	`lm_polygraph.estimators.ppl_md`
	`lm_polygraph.estimators.rde`
	`lm_polygraph.estimators.relative_mahalanobis_distance`
	`lm_polygraph.estimators.renyi_neg`
	`lm_polygraph.estimators.sar`
	`lm_polygraph.estimators.semantic_entropy`
	`lm_polygraph.estimators.semantic_entropy_token`
	`lm_polygraph.estimators.sentence_sar`
	`lm_polygraph.estimators.token_entropy`
	`lm_polygraph.estimators.token_sar`
	`lm_polygraph.generation_metrics`
	`lm_polygraph.generation_metrics.accuracy`
	`lm_polygraph.generation_metrics.aggregated_metric`
	`lm_polygraph.generation_metrics.alignscore`
	`lm_polygraph.generation_metrics.alignscore_utils`
	`lm_polygraph.generation_metrics.bart_score`
	`lm_polygraph.generation_metrics.bert_score`
	`lm_polygraph.generation_metrics.bleu`
	`lm_polygraph.generation_metrics.comet`
	`lm_polygraph.generation_metrics.generation_metric`
	`lm_polygraph.generation_metrics.model_score`
	`lm_polygraph.generation_metrics.openai_fact_check`
	`lm_polygraph.generation_metrics.rouge`
	`lm_polygraph.generation_metrics.sbert`
	`lm_polygraph.stat_calculators`
	`lm_polygraph.stat_calculators.bart_score`
	`lm_polygraph.stat_calculators.cross_encoder_similarity`
	`lm_polygraph.stat_calculators.embeddings`
	`lm_polygraph.stat_calculators.ensemble_token_data`
	`lm_polygraph.stat_calculators.entropy`
	`lm_polygraph.stat_calculators.extract_claims`
	`lm_polygraph.stat_calculators.greedy_alternatives_nli`
	`lm_polygraph.stat_calculators.greedy_lm_probs`
	`lm_polygraph.stat_calculators.greedy_probs`
	`lm_polygraph.stat_calculators.model_score`
	`lm_polygraph.stat_calculators.prompt`
	`lm_polygraph.stat_calculators.sample`
	`lm_polygraph.stat_calculators.semantic_matrix`
	`lm_polygraph.stat_calculators.stat_calculator`
	`lm_polygraph.ue_metrics`
	`lm_polygraph.ue_metrics.kendalltau`
	`lm_polygraph.ue_metrics.pr_auc`
	`lm_polygraph.ue_metrics.pred_rej_area`
	`lm_polygraph.ue_metrics.rev_pairs_prop`
	`lm_polygraph.ue_metrics.risk_cov_curve`
	`lm_polygraph.ue_metrics.roc_auc`
	`lm_polygraph.ue_metrics.spearmanr`
	`lm_polygraph.ue_metrics.ue_metric`
	`lm_polygraph.utils`
	`lm_polygraph.utils.cir_model`
	`lm_polygraph.utils.common`
	`lm_polygraph.utils.dataset`
	`lm_polygraph.utils.deberta`
	`lm_polygraph.utils.ensemble_utils`
	`lm_polygraph.utils.ensemble_utils.dropout`
	`lm_polygraph.utils.ensemble_utils.ensemble_beam`
	`lm_polygraph.utils.ensemble_utils.ensemble_generator`
	`lm_polygraph.utils.ensemble_utils.ensemble_greedy`
	`lm_polygraph.utils.ensemble_utils.ensemble_sample`
	`lm_polygraph.utils.generation_parameters`
	`lm_polygraph.utils.manager`
	`lm_polygraph.utils.model`
	`lm_polygraph.utils.normalize`
	`lm_polygraph.utils.ood_detection`
	`lm_polygraph.utils.openai_chat`
	`lm_polygraph.utils.processor`
	`lm_polygraph.utils.register_stat_calculators`
	`lm_polygraph.utils.token_restoration`