Optuna
v1.3.0
Contents:
Installation
Tutorial
API Reference
FAQ
Optuna
Docs
»
Index
Edit on GitHub
Index
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
J
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
X
B
BasePruner (class in optuna.pruners)
BaseSampler (class in optuna.samplers)
best_estimator_ (optuna.integration.OptunaSearchCV attribute)
best_index_ (optuna.integration.OptunaSearchCV attribute)
best_params (optuna.study.Study attribute)
best_params_ (optuna.integration.OptunaSearchCV attribute)
best_score_ (optuna.integration.OptunaSearchCV attribute)
best_trial (optuna.structs.StudySummary attribute)
(optuna.study.Study attribute)
best_trial_ (optuna.integration.OptunaSearchCV attribute)
best_value (optuna.study.Study attribute)
C
CategoricalDistribution (class in optuna.distributions)
ChainerMNStudy (class in optuna.integration)
ChainerPruningExtension (class in optuna.integration)
check_distribution_compatibility() (in module optuna.distributions)
choices (optuna.distributions.CategoricalDistribution attribute)
classes_ (optuna.integration.OptunaSearchCV attribute)
CLIUsageError (class in optuna.exceptions)
CmaEsSampler (class in optuna.integration)
(class in optuna.samplers)
COMPLETE (optuna.structs.TrialState attribute)
create_study() (in module optuna.study)
D
datetime_complete (optuna.structs.FrozenTrial attribute)
datetime_start (optuna.structs.FrozenTrial attribute)
(optuna.structs.StudySummary attribute)
(optuna.trial.Trial attribute)
decision_function (optuna.integration.OptunaSearchCV attribute)
delete_study() (in module optuna.study)
direction (optuna.structs.StudySummary attribute)
(optuna.study.Study attribute)
disable_default_handler() (in module optuna.logging)
disable_propagation() (in module optuna.logging)
DiscreteUniformDistribution (class in optuna.distributions)
distribution_to_json() (in module optuna.distributions)
distributions (optuna.structs.FrozenTrial attribute)
,
[1]
(optuna.trial.Trial attribute)
DuplicatedStudyError (class in optuna.exceptions)
E
enable_default_handler() (in module optuna.logging)
enable_propagation() (in module optuna.logging)
enqueue_trial() (optuna.study.Study method)
evaluate() (optuna.importance.FanovaImportanceEvaluator method)
F
FAIL (optuna.structs.TrialState attribute)
FanovaImportanceEvaluator (class in optuna.importance)
FastAIPruningCallback (class in optuna.integration)
fit() (optuna.integration.OptunaSearchCV method)
FixedTrial (class in optuna.trial)
FrozenTrial (class in optuna.structs)
G
get_all_study_summaries() (in module optuna.study)
get_param_importances() (in module optuna.importance)
get_trials() (optuna.study.Study method)
get_verbosity() (in module optuna.logging)
GridSampler (class in optuna.samplers)
H
high (optuna.distributions.DiscreteUniformDistribution attribute)
(optuna.distributions.IntUniformDistribution attribute)
(optuna.distributions.LogUniformDistribution attribute)
(optuna.distributions.UniformDistribution attribute)
HyperbandPruner (class in optuna.pruners)
hyperopt_parameters() (optuna.samplers.TPESampler static method)
I
infer_relative_search_space() (optuna.samplers.BaseSampler method)
intermediate_values (optuna.structs.FrozenTrial attribute)
intersection_search_space() (in module optuna.samplers)
IntUniformDistribution (class in optuna.distributions)
inverse_transform (optuna.integration.OptunaSearchCV attribute)
is_available() (in module optuna.visualization)
J
json_to_distribution() (in module optuna.distributions)
K
KerasPruningCallback (class in optuna.integration)
L
LightGBMPruningCallback (class in optuna.integration)
load_study() (in module optuna.study)
LogUniformDistribution (class in optuna.distributions)
low (optuna.distributions.DiscreteUniformDistribution attribute)
(optuna.distributions.IntUniformDistribution attribute)
(optuna.distributions.LogUniformDistribution attribute)
(optuna.distributions.UniformDistribution attribute)
M
MAXIMIZE (optuna.structs.StudyDirection attribute)
MedianPruner (class in optuna.pruners)
MINIMIZE (optuna.structs.StudyDirection attribute)
MXNetPruningCallback (class in optuna.integration)
N
n_splits_ (optuna.integration.OptunaSearchCV attribute)
n_trials (optuna.structs.StudySummary attribute)
n_trials_ (optuna.integration.OptunaSearchCV attribute)
NopPruner (class in optuna.pruners)
NOT_SET (optuna.structs.StudyDirection attribute)
number (optuna.structs.FrozenTrial attribute)
(optuna.trial.Trial attribute)
O
optimize() (optuna.integration.ChainerMNStudy method)
(optuna.study.Study method)
optuna.distributions (module)
optuna.exceptions (module)
optuna.importance (module)
optuna.integration (module)
optuna.logging (module)
optuna.pruners (module)
optuna.samplers (module)
optuna.storages (module)
optuna.structs (module)
optuna.study (module)
optuna.trial (module)
optuna.visualization (module)
OptunaError (class in optuna.exceptions)
OptunaSearchCV (class in optuna.integration)
P
params (optuna.structs.FrozenTrial attribute)
(optuna.trial.Trial attribute)
PercentilePruner (class in optuna.pruners)
plot_contour() (in module optuna.visualization)
plot_intermediate_values() (in module optuna.visualization)
plot_optimization_history() (in module optuna.visualization)
plot_parallel_coordinate() (in module optuna.visualization)
plot_slice() (in module optuna.visualization)
predict (optuna.integration.OptunaSearchCV attribute)
predict_log_proba (optuna.integration.OptunaSearchCV attribute)
predict_proba (optuna.integration.OptunaSearchCV attribute)
prune() (optuna.pruners.BasePruner method)
PRUNED (optuna.structs.TrialState attribute)
PyTorchIgnitePruningHandler (class in optuna.integration)
PyTorchLightningPruningCallback (class in optuna.integration)
Q
q (optuna.distributions.DiscreteUniformDistribution attribute)
R
RandomSampler (class in optuna.samplers)
RDBStorage (class in optuna.storages)
refit_time_ (optuna.integration.OptunaSearchCV attribute)
report() (optuna.trial.Trial method)
RUNNING (optuna.structs.TrialState attribute)
S
sample_independent() (optuna.samplers.BaseSampler method)
sample_indices_ (optuna.integration.OptunaSearchCV attribute)
sample_relative() (optuna.samplers.BaseSampler method)
score() (optuna.integration.OptunaSearchCV method)
score_samples (optuna.integration.OptunaSearchCV attribute)
scorer_ (optuna.integration.OptunaSearchCV attribute)
set_user_attr (optuna.integration.OptunaSearchCV attribute)
set_user_attr() (optuna.study.Study method)
(optuna.trial.Trial method)
set_verbosity() (in module optuna.logging)
should_prune() (optuna.trial.Trial method)
single() (optuna.distributions.CategoricalDistribution method)
(optuna.distributions.DiscreteUniformDistribution method)
(optuna.distributions.IntUniformDistribution method)
(optuna.distributions.LogUniformDistribution method)
(optuna.distributions.UniformDistribution method)
SkoptSampler (class in optuna.integration)
state (optuna.structs.FrozenTrial attribute)
step (optuna.distributions.IntUniformDistribution attribute)
StorageInternalError (class in optuna.exceptions)
Study (class in optuna.study)
study_ (optuna.integration.OptunaSearchCV attribute)
study_id (optuna.structs.StudySummary attribute)
(optuna.study.Study attribute)
(optuna.trial.Trial attribute)
study_name (optuna.structs.StudySummary attribute)
StudyDirection (class in optuna.structs)
StudySummary (class in optuna.structs)
SuccessiveHalvingPruner (class in optuna.pruners)
suggest_categorical() (optuna.trial.Trial method)
suggest_discrete_uniform() (optuna.trial.Trial method)
suggest_float() (optuna.trial.Trial method)
suggest_int() (optuna.trial.Trial method)
suggest_loguniform() (optuna.trial.Trial method)
suggest_uniform() (optuna.trial.Trial method)
system_attrs (optuna.structs.StudySummary attribute)
T
TensorFlowPruningHook (class in optuna.integration)
TFKerasPruningCallback (class in optuna.integration)
ThresholdPruner (class in optuna.pruners)
TPESampler (class in optuna.samplers)
train() (in module optuna.integration.lightgbm)
transform (optuna.integration.OptunaSearchCV attribute)
Trial (class in optuna.trial)
TrialPruned (class in optuna.exceptions)
trials (optuna.study.Study attribute)
trials_ (optuna.integration.OptunaSearchCV attribute)
trials_dataframe (optuna.integration.OptunaSearchCV attribute)
trials_dataframe() (optuna.study.Study method)
TrialState (class in optuna.structs)
U
UniformDistribution (class in optuna.distributions)
user_attrs (optuna.structs.FrozenTrial attribute)
(optuna.structs.StudySummary attribute)
(optuna.study.Study attribute)
(optuna.trial.Trial attribute)
user_attrs_ (optuna.integration.OptunaSearchCV attribute)
V
value (optuna.structs.FrozenTrial attribute)
X
XGBoostPruningCallback (class in optuna.integration)
Read the Docs
v: v1.3.0
Versions
latest
stable
v1.5.0
v1.4.0
v1.3.0
v1.2.0
v1.1.0
v1.0.0
Downloads
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.