LA-MCTS
Contents:
Tutorial
Usage
Benchmark
LA-MCTS
»
Index
Index
A
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B
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C
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D
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E
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F
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G
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H
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I
|
K
|
L
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M
|
N
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P
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R
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S
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T
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U
|
V
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X
A
add_stat() (lamcts.FuncStats.Stats method)
append() (lamcts.Bag method)
B
Bag (class in lamcts)
best (lamcts.Bag property)
BO_SAMPLER (lamcts.config.SamplerEnum attribute)
BOSampler (class in lamcts.sampler)
C
call_history (lamcts.FuncStats.Stats property)
call_mark (lamcts.CheckPoint attribute)
CallHistory (in module lamcts)
CheckPoint (class in lamcts)
Classifier (class in lamcts.classifier)
ClassifierEnum (class in lamcts.config)
classify() (lamcts.classifier.Classifier method)
(lamcts.classifier.SvmClassifier method)
cleanup() (lamcts.Func method)
(lamcts.StatsFuncWrapper method)
clear() (lamcts.Bag method)
clone() (lamcts.Bag method)
CMAES_SAMPLER (lamcts.config.SamplerEnum attribute)
CmaesSampler (class in lamcts.sampler)
compare() (lamcts.Func method)
create_mcts() (lamcts.MCTS static method)
D
DEFAULT_CB_BASE (lamcts.MCTS attribute)
DEFAULT_CP (lamcts.MCTS attribute)
DEFAULT_GAMMA_TYPE (lamcts.MCTS attribute)
DEFAULT_KERNAL_TYPE (lamcts.MCTS attribute)
DEFAULT_KMEAN_SVM_CLASSIFIER_PARAM (lamcts.MCTS attribute)
DEFAULT_LEAF_SIZE (lamcts.MCTS attribute)
DEFAULT_NUM_INIT_SAMPLES (lamcts.MCTS attribute)
DEFAULT_NUM_SAMPLES_PER_SAMPLER (lamcts.MCTS attribute)
DEFAULT_SAMPLER_CONFIG (lamcts.MCTS attribute)
DEFAULT_SOLVER_TYPE (lamcts.MCTS attribute)
dims (lamcts.Bag property)
(lamcts.Func property)
E
empty_bag() (lamcts.Func method)
extend() (lamcts.Bag method)
F
feature (lamcts.Sample attribute)
features (lamcts.Bag property)
Func (class in lamcts)
FuncStats (class in lamcts)
FuncStats.Stats (class in lamcts)
fx (lamcts.CheckPoint attribute)
(lamcts.Sample attribute)
fxs (lamcts.Bag property)
G
gen_random_inputs() (lamcts.Func method)
gen_sample_bag() (lamcts.Func method)
get_mcts_params() (in module lamcts.config)
H
Horizontal (lamcts.config.SearchType attribute)
I
init_tree() (lamcts.MCTS method)
input_equal() (lamcts.Func method)
is_discrete (lamcts.Bag property)
(lamcts.Func property)
is_minimizing (lamcts.Bag property)
(lamcts.Func property)
K
KMEAN_SVM_CLASSIFIER (lamcts.config.ClassifierEnum attribute)
KmeanSvmClassifier (class in lamcts.classifier)
L
lb (lamcts.Func property)
M
MCTS (class in lamcts)
mcts_params() (lamcts.Func method)
mean (lamcts.Bag property)
N
NEVERGRAD_SAMPLER (lamcts.config.SamplerEnum attribute)
NevergradSampler (class in lamcts.sampler)
P
predict() (lamcts.classifier.Classifier method)
(lamcts.classifier.SvmClassifier method)
R
RANDOM_SAMPLER (lamcts.config.SamplerEnum attribute)
RandomSampler (class in lamcts.sampler)
REGRESSION_SVM_CLASSIFIER (lamcts.config.ClassifierEnum attribute)
RegressionSvmClassifier (class in lamcts.classifier)
remove_duplicate() (lamcts.Bag method)
S
Sample (class in lamcts)
sample() (lamcts.sampler.BOSampler method)
(lamcts.sampler.CmaesSampler method)
(lamcts.sampler.NevergradSampler method)
(lamcts.sampler.RandomSampler method)
(lamcts.sampler.Sampler method)
(lamcts.sampler.TuRBOSampler method)
Sampler (class in lamcts.sampler)
SamplerEnum (class in lamcts.config)
search() (lamcts.MCTS method)
SearchType (class in lamcts.config)
stats (lamcts.FuncStats property)
(lamcts.MCTS property)
(lamcts.StatsFuncWrapper property)
StatsFuncWrapper (class in lamcts)
SvmClassifier (class in lamcts.classifier)
T
THRESHOLD_SVM_CLASSIFIER (lamcts.config.ClassifierEnum attribute)
ThresholdSvmClassifier (class in lamcts.classifier)
time_mark (lamcts.CheckPoint attribute)
total_call_time (lamcts.FuncStats.Stats property)
total_calls (lamcts.FuncStats.Stats property)
TOTAL_RETRIES (lamcts.sampler.RandomSampler attribute)
transform_input() (lamcts.Func method)
trim() (lamcts.Bag method)
TURBO_SAMPLER (lamcts.config.SamplerEnum attribute)
TuRBOSampler (class in lamcts.sampler)
U
ub (lamcts.Func property)
V
Vertical (lamcts.config.SearchType attribute)
X
x (lamcts.CheckPoint attribute)
(lamcts.Sample attribute)
x_bounds (lamcts.Bag property)
x_confidence_bounds() (lamcts.Bag method)
xs (lamcts.Bag property)