Index

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__getitem__() (tabula_rasa.TableQADataset method), [1] (tabula_rasa.training.TableQADataset method) __init__() (tabula_rasa.AdvancedQueryExecutor method) (tabula_rasa.AdvancedStatSketch method) (tabula_rasa.ProductionTableQA method) (tabula_rasa.ProductionTrainer method) (tabula_rasa.Query method) (tabula_rasa.StatisticalEncoder method) (tabula_rasa.TableQADataset method), [1] (tabula_rasa.training.ProductionTrainer method) (tabula_rasa.training.TableQADataset method)

__len__() (tabula_rasa.TableQADataset method), [1] (tabula_rasa.training.TableQADataset method)

A

AdvancedQueryExecutor (class in tabula_rasa)

AdvancedStatSketch (class in tabula_rasa) aggregation (tabula_rasa.Query attribute)

C

condition (tabula_rasa.Query attribute)

E

execute() (tabula_rasa.AdvancedQueryExecutor method)

extract() (tabula_rasa.AdvancedStatSketch method)

F

forward() (tabula_rasa.ProductionTableQA method) (tabula_rasa.StatisticalEncoder method)

G

group_by (tabula_rasa.Query attribute)

M

module tabula_rasa tabula_rasa.cli tabula_rasa.training tabula_rasa.utils

P

percentile (tabula_rasa.Query attribute) ProductionTableQA (class in tabula_rasa)

ProductionTrainer (class in tabula_rasa) (class in tabula_rasa.training)

Q

Query (class in tabula_rasa)

query_type (tabula_rasa.Query attribute)

S

StatisticalEncoder (class in tabula_rasa)

T

TableQADataset (class in tabula_rasa), [1] (class in tabula_rasa.training) tabula_rasa module tabula_rasa.cli module

tabula_rasa.training module tabula_rasa.utils module target_column (tabula_rasa.Query attribute) train() (tabula_rasa.ProductionTrainer method) (tabula_rasa.training.ProductionTrainer method)