Index

_

__call__() (retrainopt.TrainingCostFunction method)

A

accumulated_staleness (retrainopt.OnlineController property)

ArrayTimelineAdapter (class in retrainopt.adapters)

B

BaseOnlinePolicy (class in retrainopt)

BinaryTimelineAdapter (class in retrainopt.adapters)

C

CandidateEvaluation (class in retrainopt)

collect_online_training_data() (in module retrainopt) current_model (retrainopt.OnlineController property)

D

decide() (retrainopt.BaseOnlinePolicy method) (retrainopt.LearnedOnlinePolicy method)

Decision (class in retrainopt) DecisionAction (class in retrainopt)

E

evaluate() (retrainopt.adapters.PrototypeModelAdapter method) (retrainopt.adapters.SklearnModelAdapter method) (retrainopt.adapters.TorchModelAdapter method) (retrainopt.ModelAdapter method)

evaluate_candidate() (retrainopt.evaluation.EvaluationEngine method) evaluate_candidate_uncached() (retrainopt.evaluation.EvaluationEngine method) evaluate_initial_model() (retrainopt.evaluation.EvaluationEngine method) EvaluationEngine (class in retrainopt.evaluation) EvaluationProvider (class in retrainopt)

F

features() (retrainopt.OnlineState method) fit() (retrainopt.adapters.PrototypeModelAdapter method) (retrainopt.adapters.SklearnModelAdapter method) (retrainopt.adapters.TorchModelAdapter method) (retrainopt.LearnedOnlinePolicy method) (retrainopt.ModelAdapter method)

from_plan() (retrainopt.BaseOnlinePolicy class method)

G

get_eval_block() (retrainopt.adapters.ArrayTimelineAdapter method) (retrainopt.adapters.TorchTimelineAdapter method) (retrainopt.TimelineDataset method)

get_train_block() (retrainopt.adapters.ArrayTimelineAdapter method) (retrainopt.adapters.TorchTimelineAdapter method) (retrainopt.TimelineDataset method)

L

last_retrain_step (retrainopt.OnlineController property)

LearnedOnlinePolicy (class in retrainopt)

M

ModelAdapter (class in retrainopt)

module retrainopt.adapters

N

next_step (retrainopt.OnlineController property) num_steps (retrainopt.adapters.ArrayTimelineAdapter property) (retrainopt.adapters.TorchTimelineAdapter property) (retrainopt.TimelineDataset property)

O

OnlineController (class in retrainopt) OnlinePolicy (class in retrainopt)

OnlineState (class in retrainopt) OnlineStepResult (class in retrainopt) OnlineTrainingData (class in retrainopt)

P

plan() (retrainopt.RetrainingPlanner method) PlannerConfig (class in retrainopt)

PlanResult (class in retrainopt) PrototypeModelAdapter (class in retrainopt.adapters)

R

reference_loss (retrainopt.OnlineController property) resolve_n_choices() (retrainopt.PlannerConfig method)

RetrainingPlanner (class in retrainopt) retrainopt.adapters module

S

sample_train_block() (retrainopt.adapters.ArrayTimelineAdapter method) (retrainopt.adapters.TorchTimelineAdapter method) (retrainopt.TimelineDataset method)

SklearnModelAdapter (class in retrainopt.adapters) step() (retrainopt.OnlineController method)

T

TimelineDataset (class in retrainopt) to_dict() (retrainopt.OnlineStepResult method) (retrainopt.PlanResult method) to_state_cost() (retrainopt.CandidateEvaluation method) TorchModelAdapter (class in retrainopt.adapters)

TorchTimelineAdapter (class in retrainopt.adapters) train_size() (retrainopt.adapters.ArrayTimelineAdapter method) (retrainopt.adapters.TorchTimelineAdapter method) (retrainopt.TimelineDataset method) TrainingCostFunction (class in retrainopt)