testthings
latest
Contents:
Getting Started
Optimizers
Benchmark functions
Samplers
Design space
testthings
»
Index
Edit on GitHub
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
A
Adam (class in f3dasm.optimization.gradient_based_algorithms)
add() (f3dasm.base.data.Data method)
add_input_space() (f3dasm.base.design.DesignSpace method)
add_numpy_arrays() (f3dasm.base.data.Data method)
add_output() (f3dasm.base.data.Data method)
add_output_space() (f3dasm.base.design.DesignSpace method)
algorithm (f3dasm.base.optimization.Optimizer attribute)
(f3dasm.optimization.gpyopt_implementations.BayesianOptimization attribute)
(f3dasm.optimization.gradient_based_algorithms.Adam attribute)
(f3dasm.optimization.gradient_based_algorithms.Momentum attribute)
(f3dasm.optimization.gradient_based_algorithms.RandomSearch attribute)
(f3dasm.optimization.gradient_based_algorithms.SGD attribute)
B
BayesianOptimization (class in f3dasm.optimization.gpyopt_implementations)
C
CategoricalParameter (class in f3dasm.base.space)
categories (f3dasm.base.space.CategoricalParameter attribute)
check_if_within_bounds() (f3dasm.base.function.Function method)
ConstraintInterface (class in f3dasm.base.space)
ContinuousParameter (class in f3dasm.base.space)
D
Data (class in f3dasm.base.data)
data (f3dasm.base.data.Data attribute)
(f3dasm.base.optimization.Optimizer attribute)
(f3dasm.optimization.gpyopt_implementations.BayesianOptimization attribute)
(f3dasm.optimization.gradient_based_algorithms.Adam attribute)
(f3dasm.optimization.gradient_based_algorithms.Momentum attribute)
(f3dasm.optimization.gradient_based_algorithms.RandomSearch attribute)
(f3dasm.optimization.gradient_based_algorithms.SGD attribute)
defaults (f3dasm.base.optimization.Optimizer attribute)
(f3dasm.optimization.gpyopt_implementations.BayesianOptimization attribute)
(f3dasm.optimization.gradient_based_algorithms.Adam attribute)
(f3dasm.optimization.gradient_based_algorithms.Momentum attribute)
(f3dasm.optimization.gradient_based_algorithms.RandomSearch attribute)
(f3dasm.optimization.gradient_based_algorithms.SGD attribute)
DesignSpace (class in f3dasm.base.design)
designspace (f3dasm.base.data.Data attribute)
dfdx() (f3dasm.base.function.Function method)
dimensionality (f3dasm.base.function.Function attribute)
DiscreteParameter (class in f3dasm.base.space)
doe (f3dasm.base.samplingmethod.SamplingInterface attribute)
E
extract_data() (f3dasm.base.optimization.Optimizer method)
F
f() (f3dasm.base.function.Function method)
f3dasm.base
module
f3dasm.base.data
module
f3dasm.base.design
module
f3dasm.base.function
module
f3dasm.base.optimization
module
f3dasm.base.samplingmethod
module
f3dasm.base.space
module
f3dasm.base.utils
module
f3dasm.optimization.gpyopt_implementations
module
f3dasm.optimization.gradient_based_algorithms
module
Function (class in f3dasm.base.function)
G
get_categorical_input_names() (f3dasm.base.design.DesignSpace method)
get_categorical_input_parameters() (f3dasm.base.design.DesignSpace method)
get_continuous_input_names() (f3dasm.base.design.DesignSpace method)
get_continuous_input_parameters() (f3dasm.base.design.DesignSpace method)
get_discrete_input_names() (f3dasm.base.design.DesignSpace method)
get_discrete_input_parameters() (f3dasm.base.design.DesignSpace method)
get_empty_dataframe() (f3dasm.base.design.DesignSpace method)
get_input_data() (f3dasm.base.data.Data method)
get_input_names() (f3dasm.base.design.DesignSpace method)
get_input_space() (f3dasm.base.design.DesignSpace method)
get_n_best_input_parameters_numpy() (f3dasm.base.data.Data method)
get_n_best_output_samples() (f3dasm.base.data.Data method)
get_number_of_datapoints() (f3dasm.base.data.Data method)
get_number_of_input_parameters() (f3dasm.base.design.DesignSpace method)
get_number_of_output_parameters() (f3dasm.base.design.DesignSpace method)
get_output_data() (f3dasm.base.data.Data method)
get_output_names() (f3dasm.base.design.DesignSpace method)
get_output_space() (f3dasm.base.design.DesignSpace method)
get_samples() (f3dasm.base.samplingmethod.SamplingInterface method)
H
hyperparameters (f3dasm.base.optimization.Optimizer attribute)
(f3dasm.optimization.gpyopt_implementations.BayesianOptimization attribute)
(f3dasm.optimization.gradient_based_algorithms.Adam attribute)
(f3dasm.optimization.gradient_based_algorithms.Momentum attribute)
(f3dasm.optimization.gradient_based_algorithms.RandomSearch attribute)
(f3dasm.optimization.gradient_based_algorithms.SGD attribute)
I
init_parameters() (f3dasm.base.optimization.Optimizer method)
(f3dasm.optimization.gpyopt_implementations.BayesianOptimization method)
(f3dasm.optimization.gradient_based_algorithms.Adam method)
(f3dasm.optimization.gradient_based_algorithms.Momentum method)
(f3dasm.optimization.gradient_based_algorithms.SGD method)
input_domain (f3dasm.base.function.Function attribute)
input_space (f3dasm.base.design.DesignSpace attribute)
is_single_objective_continuous() (f3dasm.base.design.DesignSpace method)
iterate() (f3dasm.base.optimization.Optimizer method)
L
lower_bound (f3dasm.base.space.ContinuousParameter attribute)
(f3dasm.base.space.DiscreteParameter attribute)
M
make_nd_continuous_design() (in module f3dasm.base.utils)
module
f3dasm.base
f3dasm.base.data
f3dasm.base.design
f3dasm.base.function
f3dasm.base.optimization
f3dasm.base.samplingmethod
f3dasm.base.space
f3dasm.base.utils
f3dasm.optimization.gpyopt_implementations
f3dasm.optimization.gradient_based_algorithms
Momentum (class in f3dasm.optimization.gradient_based_algorithms)
N
name (f3dasm.base.space.ParameterInterface attribute)
noise (f3dasm.base.function.Function attribute)
O
Optimizer (class in f3dasm.base.optimization)
output_space (f3dasm.base.design.DesignSpace attribute)
P
ParameterInterface (class in f3dasm.base.space)
plot() (f3dasm.base.data.Data method)
(f3dasm.base.function.Function method)
plot_data() (f3dasm.base.function.Function method)
plot_pairs() (f3dasm.base.data.Data method)
R
RandomSearch (class in f3dasm.optimization.gradient_based_algorithms)
reset_data() (f3dasm.base.data.Data method)
S
sample_continuous() (f3dasm.base.samplingmethod.SamplingInterface method)
SamplingInterface (class in f3dasm.base.samplingmethod)
scale_bounds (f3dasm.base.function.Function attribute)
seed (f3dasm.base.function.Function attribute)
(f3dasm.base.optimization.Optimizer attribute)
(f3dasm.base.samplingmethod.SamplingInterface attribute)
set_algorithm() (f3dasm.base.optimization.Optimizer method)
(f3dasm.optimization.gpyopt_implementations.BayesianOptimization method)
set_data() (f3dasm.base.optimization.Optimizer method)
set_seed() (f3dasm.base.function.Function static method)
(f3dasm.base.optimization.Optimizer static method)
(f3dasm.base.samplingmethod.SamplingInterface method)
SGD (class in f3dasm.optimization.gradient_based_algorithms)
show() (f3dasm.base.data.Data method)
T
type (f3dasm.base.space.CategoricalParameter attribute)
(f3dasm.base.space.ContinuousParameter attribute)
(f3dasm.base.space.DiscreteParameter attribute)
U
update_step() (f3dasm.base.optimization.Optimizer method)
(f3dasm.optimization.gpyopt_implementations.BayesianOptimization method)
(f3dasm.optimization.gradient_based_algorithms.Adam method)
(f3dasm.optimization.gradient_based_algorithms.Momentum method)
(f3dasm.optimization.gradient_based_algorithms.RandomSearch method)
(f3dasm.optimization.gradient_based_algorithms.SGD method)
upper_bound (f3dasm.base.space.ContinuousParameter attribute)
(f3dasm.base.space.DiscreteParameter attribute)