spotoptim
API Reference
Sampling
screeningplan
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API Reference
Overview
SpotOptim
SpotOptim.SpotOptim
SpotOptim.SpotOptimConfig
SpotOptim.SpotOptimState
Core
core
core.data
SpotDataFromArray
SpotDataFromTorchDataset
SpotDataSet
core.experiment
ExperimentControl
Surrogate Models
surrogate
surrogate.kriging
Kriging
surrogate.simple_kriging
SimpleKriging
surrogate.mlp_surrogate
MLPSurrogate
surrogate.nystroem
Nystroem
surrogate.kernels
ConstantKernel
Kernel
Product
RBF
SpotOptimKernel
Sum
WhiteKernel
surrogate.pipeline
Pipeline
Sampling
sampling
sampling.design
fullfactorial
generate_clustered_design
generate_collinear_design
generate_grid_design
generate_qmc_lhs_design
generate_sobol_design
generate_uniform_design
sampling.effects
plot_all_partial_dependence
randorient
screening_plot
screening_print
screeningplan
sampling.lhs
rlh
sampling.mm
bestlh
jd
mm
mm_improvement
mm_corrected_improvement
mm_improvement_contour
mmlhs
mmphi
mmphi_intensive
mmphi_intensive_update
mmphi_corrected
mmphi_corrected_update
mmsort
perturb
phisort
plot_mmphi_vs_n_lhs
plot_mmphi_corrected_vs_n_lhs
plot_mmphi_vs_points
plot_mmphi_corrected_vs_points
propose_mmphi_intensive_minimizing_point
propose_mmphi_corrected_minimizing_point
subset
Optimization
optimizer
optimizer.schedule_free
AdamWScheduleFree
Hyperparameters
hyperparameters
hyperparameters.parameters
ParameterSet
hyperparameters.repr_helpers
Bounds
Parameter
Neural Networks
nn
nn.linear_regressor
LinearRegressor
nn.mlp
MLP
Plotting & Visualization
plot
plot.contour
contourf_plot
mo_generate_plot_grid
plotModel
simple_contour
plot.mo
plot_mo
plot.visualization
plot_important_hyperparameter_contour
plot_progress
plot_surrogate
plot_design_points
Utilities
utils
utils.boundaries
get_boundaries
map_to_original_scale
utils.eval
mo_cv_models
mo_eval_models
utils.file
get_experiment_filename
utils.mapping
map_lr
utils.pca
get_loading_scores
get_pca
get_pca_topk
plot_loading_scores
plot_pca1vs2
plot_pca_scree
utils.scaler
TorchStandardScaler
utils.stats
calculate_outliers
compute_coefficients_table
compute_standardized_betas
condition_index
cov_to_cor
fit_all_lm
get_all_vars_from_formula
get_combinations
get_sample_size
normalize_X
pairwise_semi_partial_correlation
partial_correlation
partial_correlation_test
plot_coeff_vs_pvals
plot_coeff_vs_pvals_by_included
preprocess_df_for_ols
semi_partial_correlation
vif
Data
data
data.base
Config
FileConfig
data.diabetes
DiabetesDataset
get_diabetes_dataloaders
Exploratory Data Analysis
eda
eda.plots
plot_ip_boxplots
plot_ip_histograms
Multi-Objective
mo
mo.mo_mm
mo_mm_desirability_function
mo_mm_desirability_optimizer
mo_xy_desirability_plot
mo.pareto
is_pareto_efficient
mo_pareto_optx_plot
mo_xy_contour
mo_xy_surface
Inspection
inspection
inspection.importance
generate_imp
generate_mdi
plot_feature_importances
plot_feature_scatter_matrix
plot_importances
inspection.predictions
plot_actual_vs_predicted
Factor Analyzer
factor_analyzer
factor_analyzer.confirmatory_factor_analyzer
ConfirmatoryFactorAnalyzer
ModelSpecification
ModelSpecificationParser
factor_analyzer.factor_analyzer
FactorAnalyzer
calculate_bartlett_sphericity
calculate_kmo
factor_analyzer.factor_analyzer_rotator
Rotator
factor_analyzer.factor_analyzer_utils
apply_impute_nan
commutation_matrix
corr
cov
covariance_to_correlation
duplication_matrix
duplication_matrix_pre_post
fill_lower_diag
get_first_idxs_from_values
get_free_parameter_idxs
get_symmetric_lower_idxs
get_symmetric_upper_idxs
impute_values
inv_chol
merge_variance_covariance
partial_correlations
smc
unique_elements
Functions
function
function.forr08a
aerofoilcd
branin
onevar
function.mo
activity_pred
conversion_pred
dtlz1
dtlz2
fonseca_fleming
fun_myer16a
kursawe
mo_conv2_max
mo_conv2_min
schaffer_n1
zdt1
zdt2
zdt3
zdt4
zdt6
function.remote
objective_remote
function.so
ackley
lennard_jones
michalewicz
noisy_sphere
robot_arm_hard
robot_arm_obstacle
rosenbrock
sphere
wingwt
function.torch_objective
TorchObjective
Tricands
tricands
tricands.tricands
tricands
tricands_fringe
tricands_interior
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sampling.effects.screeningplan
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API Reference
Sampling
screeningplan
sampling.effects.screeningplan
sampling.effects.screeningplan(k, p, xi, r)