open issue

Index

_

_checkpoints (tf_al.wrapper.Model attribute) _config (tf_al.wrapper.Model attribute)

_mode (tf_al.wrapper.Model attribute) _model (tf_al.wrapper.Model attribute) _model_type (tf_al.wrapper.Model attribute)

A

ActiveLearningLoop (class in tf_al) add_dataset_meta() (tf_al.ExperimentSuitMetrics method)

add_experiment_meta() (tf_al.ExperimentSuitMetrics method) annotate() (tf_al.Oracle method) (tf_al.Pool method)

B

batch_prediction() (tf_al.wrapper.Model method)

C

check_float_range() (tf_al.Dataset method) check_int_in_range() (tf_al.Dataset method) collect() (tf_al.Metrics method)

collect_meta_params() (tf_al.ActiveLearningLoop method) compile() (tf_al.wrapper.McDropout method) (tf_al.wrapper.Model method)

D

Dataset (class in tf_al)

disable_batch_norm() (tf_al.wrapper.Model method) disable_tf_logs() (in module tf_al.utils.tf)

E

evaluate() (tf_al.wrapper.McDropout method) (tf_al.wrapper.Model method)

expectation() (tf_al.wrapper.McDropout method) ExperimentSuit (class in tf_al) ExperimentSuitMetrics (class in tf_al)

F

fit() (tf_al.wrapper.Model method)

G

get_dataset_info() (tf_al.ExperimentSuitMetrics method) get_experiment_meta() (tf_al.ExperimentSuitMetrics method) get_indices() (tf_al.Pool method) get_inputs_by() (tf_al.Pool method) get_labeled_data() (tf_al.Pool method) get_labeled_indices() (tf_al.Pool method) get_length_labeled() (tf_al.Pool method)

get_length_unlabeled() (tf_al.Pool method) get_model_name() (tf_al.wrapper.Model method) get_query_fn() (tf_al.wrapper.McDropout method) (tf_al.wrapper.Model method) get_split_ratio() (tf_al.Dataset method) get_targets_by() (tf_al.Pool method) get_unlabeled_data() (tf_al.Pool method) get_unlabeled_indices() (tf_al.Pool method)

H

has_labeled() (tf_al.Pool method)

has_next() (tf_al.ActiveLearningLoop method) has_unlabeled() (tf_al.Pool method)

I

init() (tf_al.Oracle method) (tf_al.Pool method)

is_done() (tf_al.ActiveLearningLoop method) is_pseudo() (tf_al.Oracle method) (tf_al.Pool method)

M

McDropout (class in tf_al.wrapper) Metrics (class in tf_al) Model (class in tf_al.wrapper)

module tf_al.utils.logger tf_al.utils.tf

O

optimize() (tf_al.wrapper.Model method)

Oracle (class in tf_al) overwrite() (tf_al.ExperimentSuitMetrics method)

P

percentage_of() (tf_al.Dataset method)

Pool (class in tf_al) predict() (tf_al.wrapper.Model method)

R

read() (tf_al.ExperimentSuitMetrics method) (tf_al.Metrics method)

read_meta() (tf_al.ExperimentSuitMetrics method) reset() (tf_al.wrapper.Model method) run() (tf_al.ActiveLearningLoop method)

S

set_tf_log_level() (in module tf_al.utils.tf) setup_growth() (in module tf_al.utils.tf) setup_logger() (in module tf_al.utils.logger)

start() (tf_al.ExperimentSuit method) std() (tf_al.wrapper.McDropout method) step() (tf_al.ActiveLearningLoop method)

T

tf_al.utils.logger module

tf_al.utils.tf module

U

unlock() (tf_al.ExperimentSuitMetrics method)

unlock_all() (tf_al.ExperimentSuitMetrics method)

V

variance() (tf_al.wrapper.McDropout method)

W

write() (tf_al.Metrics method)

write_line() (tf_al.ExperimentSuitMetrics method) write_meta() (tf_al.ExperimentSuitMetrics method)