Index

_

__call__() (s3e.SemanticStateEstimator method)

A

a (s3e.calibration.platt.PlattParameters attribute) answer (s3e.Prediction property) AnswerOption (class in s3e) AnswerSpace (class in s3e) apply() (s3e.Calibrator method) (s3e.PlattCalibrator method)

apply_platt_scaling() (in module s3e.calibration.platt) argmax_in_interest (s3e.VLMOutput attribute) ask() (s3e.QueryEngine method) ask_each() (s3e.QueryEngine method) average() (s3e.PredictionSet class method)

B

b (s3e.calibration.platt.PlattParameters attribute)

BinaryAnswers (class in s3e) bool_constant_to_fnode() (in module s3e.pddl)

C

calibration_meta() (s3e.SemanticStateEstimator method) CalibrationExample (class in s3e) CalibrationSample (class in s3e) CalibrationSet (class in s3e) Calibrator (class in s3e) CategoricalAnswers (class in s3e)

closing_text() (s3e.backends.utils.thinking.ThinkingTokens method) collect() (s3e.CalibrationSet class method) compute_domain_fingerprint() (in module s3e.pddl) confident() (s3e.Prediction method) convert_state_dict_to_up_compatible() (in module s3e.pddl) create_up_problem() (in module s3e.pddl)

D

distribution() (s3e.Prediction method)

E

estimate() (s3e.SemanticStateEstimator method)

estimate_averaged() (s3e.SemanticStateEstimator method)

F

find_thinking_switch() (in module s3e.backends.utils.thinking) fit() (s3e.PlattCalibrator class method) fit_platt_parameters() (in module s3e.calibration.platt) from_dict() (s3e.AnswerSpace class method) (s3e.CalibrationSample class method) (s3e.CalibrationSet class method) (s3e.Prediction class method) (s3e.PredictionSet class method)

from_pddl() (s3e.SemanticStateEstimator class method)

G

get_all_grounded_predicates_for_objects() (in module s3e.pddl) get_lifted_predicate_key() (in module s3e.pddl) get_object_names_dict() (in module s3e.pddl) get_pddl_strings() (in module s3e.pddl)

ground_predicate_str_to_fnode() (in module s3e.pddl) ground_predicates() (in module s3e.pddl) group_keys() (s3e.PlattCalibrator method) grouped_log_odds() (in module s3e.calibration.platt)

H

has_answer (s3e.Prediction property)

HuggingFaceVLM (class in s3e)

I

IdentityTranslator (class in s3e)

images (s3e.CalibrationExample attribute) interest_tokens (s3e.AnswerSpace property)

K

KNOWN_THINKING_DELIMITERS (in module s3e.backends.utils.thinking)

KNOWN_THINKING_SWITCHES (in module s3e.backends.utils.thinking)

L

labels (s3e.AnswerSpace property) leading_whitespace_tokens() (in module s3e.backends.utils.thinking) LLMTranslator (class in s3e)

load() (s3e.CalibrationSet class method) (s3e.Calibrator class method) (s3e.PlattCalibrator class method) load_cache() (in module s3e.translation.cache)

M

make() (s3e.AnswerOption class method) make_cache_key() (in module s3e.translation.cache) matched (s3e.Prediction property)

module s3e.pddl s3e.translation.cache

N

negative_count (s3e.calibration.platt.PlattParameters attribute)

null_dominated (s3e.Prediction property)

O

OpenAIVLM (class in s3e)

opens_block() (s3e.backends.utils.thinking.ThinkingTokens method)

P

parse_domain_problem() (in module s3e.pddl) PlattCalibrator (class in s3e) PlattParameters (class in s3e.calibration.platt) positive_count (s3e.calibration.platt.PlattParameters attribute) Prediction (class in s3e)

PredictionSet (class in s3e) PrewrittenTranslator (class in s3e) probabilities() (s3e.PredictionSet method) probability (s3e.Prediction property) problem (s3e.CalibrationExample attribute)

Q

query() (s3e.HuggingFaceVLM method) (s3e.OpenAIVLM method) (s3e.VLLMBackend method) (s3e.VLMBackend method)

query_batch() (s3e.HuggingFaceVLM method) (s3e.VLLMBackend method) (s3e.VLMBackend method) QueryEngine (class in s3e) QueryTranslator (class in s3e)

R

reasoning (s3e.VLMOutput attribute)

resolve_backend() (in module s3e) resolve_thinking_tokens() (in module s3e.backends.utils.thinking)

S

s3e.pddl module s3e.translation.cache module sample_count (s3e.calibration.platt.PlattParameters attribute) save() (s3e.CalibrationSet method) (s3e.Calibrator method) (s3e.PlattCalibrator method)

save_cache() (in module s3e.translation.cache) score (s3e.Prediction property) score() (s3e.AnswerSpace method) SemanticStateEstimator (class in s3e) set_predicates() (s3e.SemanticStateEstimator method) set_problem() (s3e.SemanticStateEstimator method) split() (s3e.backends.utils.thinking.ThinkingTokens method) state_dict (s3e.CalibrationExample attribute) state_dict_to_up_state() (in module s3e.pddl)

T

template_kwargs() (s3e.backends.utils.thinking.ThinkingSwitch method) TemplateTranslator (class in s3e) text (s3e.VLMOutput attribute) thinking_template_kwargs() (in module s3e.backends.utils.thinking) ThinkingSwitch (class in s3e.backends.utils.thinking) ThinkingTokens (class in s3e.backends.utils.thinking) to_dict() (s3e.AnswerSpace method) (s3e.BinaryAnswers method) (s3e.CalibrationSample method) (s3e.CalibrationSet method) (s3e.Prediction method) (s3e.PredictionSet method)

to_state() (s3e.PredictionSet method) to_up_state() (s3e.SemanticStateEstimator method) token_probs (s3e.VLMOutput attribute) translate() (s3e.IdentityTranslator method) (s3e.LLMTranslator method) (s3e.PrewrittenTranslator method) (s3e.QueryTranslator method) (s3e.TemplateTranslator method)

U

UnmatchedAnswerWarning (class in s3e) unsupported_interest_tokens() (s3e.HuggingFaceVLM method) (s3e.VLLMBackend method) (s3e.VLMBackend method)

V

validate_thinking_options() (in module s3e.backends.utils.thinking) VLLMBackend (class in s3e)

VLMBackend (class in s3e) VLMOutput (class in s3e)

W

warn_if_thinking_unavailable() (in module s3e.backends.utils.thinking)

where() (s3e.PredictionSet method) with_probability() (s3e.Prediction method)