Index

A

apply() (in module akebono.settings)

ApplyPca (class in akebono.preprocessor) ApplyStandardScaler (class in akebono.preprocessor)

B

base_init_finished() (akebono.model.WrappedModel method)

D

Dataset (class in akebono.dataset) dump() (akebono.model.WrappedModel method) (akebono.preprocessor.StatefulPreprocessor method)

dump_with_operation_rule() (akebono.preprocessor.PreprocessorPipeline method)

E

evaluate() (akebono.model.WrappedModel method)

ExcludeColumns (class in akebono.preprocessor)

F

fit() (akebono.model.WrappedModel method)

G

get_dataset() (in module akebono.dataset) get_model() (in module akebono.model) get_predict_configs() (in module akebono.settings)

get_predictor_target() (akebono.dataset.Dataset method) get_preprocessor() (in module akebono.preprocessor) get_train_configs() (in module akebono.settings)

I

Identify (class in akebono.preprocessor)

L

load() (akebono.model.WrappedModel method) (akebono.preprocessor.StatefulPreprocessor method)

load_with_operation_rule() (akebono.preprocessor.PreprocessorPipeline method)

P

predict() (akebono.model.WrappedModel method) (in module akebono.operator) predict_proba() (akebono.model.WrappedModel method) PreprocessorPipeline (class in akebono.preprocessor) process() (akebono.preprocessor.ApplyPca method) (akebono.preprocessor.ApplyStandardScaler method) (akebono.preprocessor.ExcludeColumns method) (akebono.preprocessor.Identify method) (akebono.preprocessor.PreprocessorPipeline method) (akebono.preprocessor.SelectColumns method) (akebono.preprocessor.StatefulPreprocessor method) (akebono.preprocessor.StatelessPreprocessor method)

R

reset() (akebono.model.WrappedModel method) (akebono.preprocessor.ApplyPca method) (akebono.preprocessor.ApplyStandardScaler method) (akebono.preprocessor.StatefulPreprocessor method) (in module akebono.settings)

S

SelectColumns (class in akebono.preprocessor) set_model_type() (akebono.model.WrappedModel method) set_operation_mode() (akebono.preprocessor.ApplyPca method) (akebono.preprocessor.ApplyStandardScaler method) (akebono.preprocessor.StatefulPreprocessor method)

StatefulPreprocessor (class in akebono.preprocessor) StatelessPreprocessor (class in akebono.preprocessor)

T

train() (in module akebono.operator)

V

value (akebono.dataset.Dataset attribute) (akebono.model.WrappedModel attribute) (akebono.preprocessor.ApplyPca attribute) (akebono.preprocessor.ApplyStandardScaler attribute) (akebono.preprocessor.StatefulPreprocessor attribute)

W

WrappedModel (class in akebono.model)