Index _ | C | D | E | F | I | M | O | P | R | S | U _ __init__() (rowvoi.core.CandidateState method) (rowvoi.core.FeatureSuggestion method) (rowvoi.ml.RowVoiModel method) __post_init__() (rowvoi.core.CandidateState method) C candidate_rows (rowvoi.core.CandidateState attribute), [1] CandidateState (class in rowvoi.core) col (rowvoi.core.FeatureSuggestion attribute), [1] ColName (in module rowvoi.types) cost_adjusted_score (rowvoi.core.FeatureSuggestion property) D debug (rowvoi.core.FeatureSuggestion attribute), [1] E entropy (rowvoi.core.CandidateState property) expected_voi (rowvoi.core.FeatureSuggestion attribute), [1] F FeatureSuggestion (class in rowvoi.core) filter_candidates() (rowvoi.core.CandidateState method) fit() (rowvoi.ml.RowVoiModel method) I is_unique (rowvoi.core.CandidateState property) M marginal_cost (rowvoi.core.FeatureSuggestion attribute), [1] max_posterior (rowvoi.core.CandidateState property) module rowvoi.core rowvoi.ml rowvoi.types O observed_cols (rowvoi.core.CandidateState attribute), [1] observed_values (rowvoi.core.CandidateState attribute), [1] P posterior (rowvoi.core.CandidateState attribute), [1] R residual_uncertainty (rowvoi.core.CandidateState property) RowIndex (in module rowvoi.types) rowvoi.core module rowvoi.ml module rowvoi.types module RowVoiModel (class in rowvoi.ml) run_acquisition() (rowvoi.ml.RowVoiModel method) S score (rowvoi.core.FeatureSuggestion attribute), [1] suggest_next_feature() (rowvoi.ml.RowVoiModel method) U uniform() (rowvoi.core.CandidateState class method) unique_row (rowvoi.core.CandidateState property)