apsis
Using apsis for Hyperparameter Optimization
First steps
Bayesian Optimization with apsis - Advanced Tutorial
Installing Apsis
Prerequisites
Installation using PIP
Manual Installation
Design
Overview
Parameter storage
Parameter Definitions
API Documentation
apsis package
Evaluation
Overview
Branin-Hoo Benchmark
Evaluation on Multidimensional Artificial Noise Function
Evaluation on Neural Network on MNIST
apsis
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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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I
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M
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N
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O
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P
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R
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S
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T
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V
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W
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X
A
add_finished() (apsis.models.experiment.Experiment method)
add_pausing() (apsis.models.experiment.Experiment method)
add_pending() (apsis.models.experiment.Experiment method)
add_working() (apsis.models.experiment.Experiment method)
apsis (module)
apsis.assistants (module)
apsis.models (module)
apsis.models.candidate (module)
apsis.models.experiment (module)
apsis.models.parameter_definition (module)
apsis.optimizers (module)
apsis.optimizers.bayesian (module)
apsis.optimizers.optimizer (module)
apsis.optimizers.random_search (module)
apsis.utilities (module)
apsis.utilities.file_utils (module)
apsis.utilities.randomization (module)
asymptotic_border (apsis.models.parameter_definition.AsymptoticNumericParamDef attribute)
AsymptoticNumericParamDef (class in apsis.models.parameter_definition)
B
best_candidate (apsis.models.experiment.Experiment attribute)
better_cand() (apsis.models.experiment.Experiment method)
border (apsis.models.parameter_definition.AsymptoticNumericParamDef attribute)
C
Candidate (class in apsis.models.candidate)
candidates_finished (apsis.models.experiment.Experiment attribute)
candidates_pending (apsis.models.experiment.Experiment attribute)
candidates_working (apsis.models.experiment.Experiment attribute)
check_random_state() (in module apsis.utilities.randomization)
clone() (apsis.models.experiment.Experiment method)
ComparableParamDef (class in apsis.models.parameter_definition)
compare_values() (apsis.models.parameter_definition.ComparableParamDef method)
(apsis.models.parameter_definition.NumericParamDef method)
(apsis.models.parameter_definition.OrdinalParamDef method)
cost (apsis.models.candidate.Candidate attribute)
D
distance() (apsis.models.parameter_definition.NumericParamDef method)
(apsis.models.parameter_definition.OrdinalParamDef method)
(apsis.models.parameter_definition.ParamDef method)
(apsis.models.parameter_definition.PositionParamDef method)
E
ensure_directory_exists() (in module apsis.utilities.file_utils)
Experiment (class in apsis.models.experiment)
F
FixedValueParamDef (class in apsis.models.parameter_definition)
from_dict() (in module apsis.models.candidate)
G
get_next_candidates() (apsis.optimizers.optimizer.Optimizer method)
(apsis.optimizers.random_search.RandomSearch method)
I
is_in_parameter_domain() (apsis.models.parameter_definition.MinMaxNumericParamDef method)
(apsis.models.parameter_definition.NominalParamDef method)
(apsis.models.parameter_definition.NumericParamDef method)
(apsis.models.parameter_definition.ParamDef method)
M
minimization_problem (apsis.models.experiment.Experiment attribute)
MinMaxNumericParamDef (class in apsis.models.parameter_definition)
N
name (apsis.models.experiment.Experiment attribute)
NominalParamDef (class in apsis.models.parameter_definition)
NumericParamDef (class in apsis.models.parameter_definition)
O
Optimizer (class in apsis.optimizers.optimizer)
OrdinalParamDef (class in apsis.models.parameter_definition)
P
ParamDef (class in apsis.models.parameter_definition)
parameter_definitions (apsis.models.experiment.Experiment attribute)
params (apsis.models.candidate.Candidate attribute)
PositionParamDef (class in apsis.models.parameter_definition)
positions (apsis.models.parameter_definition.PositionParamDef attribute)
R
random_state (apsis.optimizers.random_search.RandomSearch attribute)
RandomSearch (class in apsis.optimizers.random_search)
result (apsis.models.candidate.Candidate attribute)
S
SUPPORTED_PARAM_TYPES (apsis.optimizers.optimizer.Optimizer attribute)
(apsis.optimizers.random_search.RandomSearch attribute)
T
to_csv_entry() (apsis.models.candidate.Candidate method)
to_csv_results() (apsis.models.experiment.Experiment method)
to_dict() (apsis.models.candidate.Candidate method)
V
values (apsis.models.parameter_definition.NominalParamDef attribute)
W
warp_in() (apsis.models.parameter_definition.AsymptoticNumericParamDef method)
(apsis.models.parameter_definition.MinMaxNumericParamDef method)
(apsis.models.parameter_definition.NumericParamDef method)
(apsis.models.parameter_definition.PositionParamDef method)
warp_out() (apsis.models.parameter_definition.AsymptoticNumericParamDef method)
(apsis.models.parameter_definition.MinMaxNumericParamDef method)
(apsis.models.parameter_definition.NumericParamDef method)
(apsis.models.parameter_definition.PositionParamDef method)
warp_pt_in() (apsis.models.experiment.Experiment method)
warp_pt_out() (apsis.models.experiment.Experiment method)
warping_in (apsis.models.parameter_definition.NumericParamDef attribute)
warping_out (apsis.models.parameter_definition.NumericParamDef attribute)
worker_information (apsis.models.candidate.Candidate attribute)
X
x_max (apsis.models.parameter_definition.MinMaxNumericParamDef attribute)
x_min (apsis.models.parameter_definition.MinMaxNumericParamDef attribute)
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