LM-Polygraph
Contents:
Basic usage
Library design
Normalization
API Reference
lm_polygraph
lm_polygraph package
Subpackages
lm_polygraph.estimators package
lm_polygraph.generation_metrics package
lm_polygraph.model_adapters package
lm_polygraph.stat_calculators package
lm_polygraph.ue_metrics package
lm_polygraph.utils package
LM-Polygraph
lm_polygraph
lm_polygraph package
lm_polygraph.estimators package
lm_polygraph.estimators.ensemble_sequence_measures module
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lm_polygraph.estimators.ensemble_sequence_measures module
class
lm_polygraph.estimators.ensemble_sequence_measures.
EPSrmi
[source]
Bases:
Estimator
class
lm_polygraph.estimators.ensemble_sequence_measures.
EPSrmiabs
[source]
Bases:
Estimator
class
lm_polygraph.estimators.ensemble_sequence_measures.
EPStu
[source]
Bases:
Estimator
class
lm_polygraph.estimators.ensemble_sequence_measures.
PESrmi
[source]
Bases:
Estimator
class
lm_polygraph.estimators.ensemble_sequence_measures.
PESrmiabs
[source]
Bases:
Estimator
class
lm_polygraph.estimators.ensemble_sequence_measures.
PEStu
[source]
Bases:
Estimator
lm_polygraph.estimators.ensemble_sequence_measures.
all_ep_estimators
(
)
[source]
lm_polygraph.estimators.ensemble_sequence_measures.
all_pe_estimators
(
)
[source]
lm_polygraph.estimators.ensemble_sequence_measures.
get_seq_level_ue
(
sequence_level_data
:
Dict
[
str
,
Tensor
]
)
→
Dict
[
str
,
ndarray
]
[source]