Index

A

AbsoluteError (class in jaxsr.additive) (class in jaxsr.additive.losses) acquisition (jaxsr.acquisition.AcquisitionResult attribute), [1] AcquisitionFunction (class in jaxsr.acquisition) AcquisitionResult (class in jaxsr.acquisition) ActiveLearner (class in jaxsr.acquisition) AdaptiveSampler (class in jaxsr.sampling) add_block() (jaxsr.basis.BasisLibrary method) add_bounds() (jaxsr.constraints.Constraints method) add_categorical_indicators() (jaxsr.basis.BasisLibrary method) add_categorical_interactions() (jaxsr.basis.BasisLibrary method) add_compositions() (jaxsr.basis.BasisLibrary method) add_concave() (jaxsr.constraints.Constraints method) add_constant() (jaxsr.basis.BasisLibrary method) add_convex() (jaxsr.constraints.Constraints method) add_custom() (jaxsr.basis.BasisLibrary method) (jaxsr.constraints.Constraints method) add_interactions() (jaxsr.basis.BasisLibrary method) add_known_coefficient() (jaxsr.constraints.Constraints method) add_linear() (jaxsr.basis.BasisLibrary method) add_linear_constraint() (jaxsr.constraints.Constraints method) add_monotonic() (jaxsr.constraints.Constraints method) add_parametric() (jaxsr.basis.BasisLibrary method)

add_physics_constraint() (jaxsr.constraints.Constraints method) add_polynomial_interactions() (jaxsr.basis.BasisLibrary method) add_polynomials() (jaxsr.basis.BasisLibrary method) add_power_laws() (jaxsr.basis.BasisLibrary method) add_rational_forms() (jaxsr.basis.BasisLibrary method) add_ratios() (jaxsr.basis.BasisLibrary method) add_sign_constraint() (jaxsr.constraints.Constraints method) add_transcendental() (jaxsr.basis.BasisLibrary method) additive_predict() (in module jaxsr.additive) (in module jaxsr.additive.ensemble) AdditiveSymbolicModel (class in jaxsr.additive) (class in jaxsr.additive.ensemble) aic (jaxsr.selection.ClassificationResult attribute) (jaxsr.selection.SelectionResult attribute) aicc (jaxsr.selection.ClassificationResult attribute) (jaxsr.selection.SelectionResult attribute) anova() (in module jaxsr.uncertainty) (jaxsr.rsm.ResponseSurface method) AnovaResult (class in jaxsr.uncertainty) AnovaRow (class in jaxsr.uncertainty) antideriv (jaxsr.superposition.ShiftTerm attribute) AOptimal (class in jaxsr.acquisition) apply_hard_constraints() (jaxsr.constraints.ConstraintEvaluator method)

B

B_matrix (jaxsr.rsm.CanonicalAnalysis attribute) b_vector (jaxsr.rsm.CanonicalAnalysis attribute) BackfittingSymbolicRegressor (class in jaxsr.additive) (class in jaxsr.additive.backfitting) basis_index (jaxsr.basis.ParametricBasisInfo attribute) BasisFunction (class in jaxsr.basis) BasisLibrary (class in jaxsr.basis) BatchStrategy (class in jaxsr.acquisition) BayesianModelAverage (class in jaxsr.uncertainty) best (jaxsr.selection.ClassificationPath property) (jaxsr.selection.SelectionPath property) best_index (jaxsr.selection.ClassificationPath attribute) (jaxsr.selection.SelectionPath attribute) best_X (jaxsr.acquisition.ActiveLearner property) best_y (jaxsr.acquisition.ActiveLearner property) bic (jaxsr.selection.ClassificationResult attribute) (jaxsr.selection.SelectionResult attribute)

block (jaxsr.basis.BasisFunction attribute) blocks (jaxsr.basis.BasisLibrary property) BMAUncertainty (class in jaxsr.acquisition) bootstrap_additive() (in module jaxsr.additive) (in module jaxsr.additive.uncertainty) bootstrap_classification_coefficients() (in module jaxsr.uncertainty) bootstrap_coefficients() (in module jaxsr.uncertainty) bootstrap_model_selection() (in module jaxsr.uncertainty) bootstrap_predict() (in module jaxsr.uncertainty) bootstrap_predict_additive() (in module jaxsr.additive) (in module jaxsr.additive.uncertainty) BOUND (jaxsr.constraints.ConstraintType attribute) box_behnken() (jaxsr.rsm.ResponseSurface method) box_behnken_design() (in module jaxsr.rsm) build_constraint_scorer() (in module jaxsr.constraints) build_default() (jaxsr.basis.BasisLibrary method)

C

calibration_curve() (in module jaxsr.uncertainty) canonical() (jaxsr.rsm.ResponseSurface method) canonical_analysis() (in module jaxsr.rsm) canonical_name() (jaxsr.basis.BasisLibrary method) canonical_names (jaxsr.basis.BasisLibrary property) CanonicalAnalysis (class in jaxsr.rsm) categorical_indices (jaxsr.basis.BasisLibrary property) ccd() (jaxsr.rsm.ResponseSurface method) central_composite_design() (in module jaxsr.rsm) channel (jaxsr.superposition.MasterCurve attribute) channels_ (jaxsr.superposition.SuperpositionRegressor attribute) check_satisfaction() (jaxsr.constraints.ConstraintEvaluator method) classes_ (jaxsr.classifier.SymbolicClassifier attribute) (jaxsr.classifier.SymbolicClassifier property) classification_coefficient_intervals() (in module jaxsr.uncertainty) ClassificationPath (class in jaxsr.selection) ClassificationResult (class in jaxsr.selection) coefficient_intervals() (in module jaxsr.uncertainty) (jaxsr.classifier.SymbolicClassifier method) (jaxsr.regressor.SymbolicRegressor method) coefficients (jaxsr.additive.AdditiveSymbolicModel attribute) (jaxsr.additive.ensemble.AdditiveSymbolicModel attribute) (jaxsr.selection.ClassificationResult attribute) (jaxsr.selection.SelectionResult attribute) coefficients_ (jaxsr.additive.backfitting.BackfittingSymbolicRegressor attribute) (jaxsr.additive.BackfittingSymbolicRegressor attribute) (jaxsr.additive.stagewise.StagewiseSymbolicRegressor attribute) (jaxsr.additive.StagewiseSymbolicRegressor attribute) (jaxsr.classifier.SymbolicClassifier attribute) (jaxsr.classifier.SymbolicClassifier property) (jaxsr.regressor.SymbolicRegressor attribute) (jaxsr.regressor.SymbolicRegressor property) collapse_rmse() (in module jaxsr.superposition) compare_models() (in module jaxsr.metrics) complexities (jaxsr.basis.BasisLibrary property) complexity (jaxsr.basis.BasisFunction attribute) (jaxsr.selection.ClassificationResult attribute) (jaxsr.selection.SelectionResult attribute) (jaxsr.superposition.ShiftTerm attribute) complexity_ (jaxsr.regressor.SymbolicRegressor attribute) (jaxsr.regressor.SymbolicRegressor property) Composite (class in jaxsr.acquisition) compute_accuracy() (in module jaxsr.metrics) compute_adjusted_r2() (in module jaxsr.metrics) compute_aic() (in module jaxsr.metrics) compute_aicc() (in module jaxsr.metrics) compute_all_classification_metrics() (in module jaxsr.metrics) compute_all_metrics() (in module jaxsr.metrics) compute_auc_roc() (in module jaxsr.metrics) compute_bic() (in module jaxsr.metrics)

compute_classification_ic() (in module jaxsr.metrics) compute_coeff_covariance() (in module jaxsr.uncertainty) compute_confusion_matrix() (in module jaxsr.metrics) compute_cv_score() (in module jaxsr.metrics) compute_f1_score() (in module jaxsr.metrics) compute_hard_penalty() (jaxsr.constraints.ConstraintEvaluator method) compute_hqc() (in module jaxsr.metrics) compute_information_criterion() (in module jaxsr.metrics) compute_log_loss() (in module jaxsr.metrics) compute_loo_mse() (in module jaxsr.metrics) compute_mae() (in module jaxsr.metrics) compute_mape() (in module jaxsr.metrics) compute_matthews_corrcoef() (in module jaxsr.metrics) compute_max_error() (in module jaxsr.metrics) compute_mdl() (in module jaxsr.metrics) compute_mse() (in module jaxsr.metrics) compute_pareto_front() (in module jaxsr.selection) compute_pareto_front_classification() (in module jaxsr.selection) compute_pareto_front_multi() (in module jaxsr.selection) compute_penalty() (jaxsr.constraints.ConstraintEvaluator method) compute_precision() (in module jaxsr.metrics) compute_press() (in module jaxsr.metrics) compute_r2() (in module jaxsr.metrics) compute_recall() (in module jaxsr.metrics) compute_rmse() (in module jaxsr.metrics) compute_unbiased_variance() (in module jaxsr.uncertainty) CONCAVE (jaxsr.constraints.ConstraintType attribute) conditions_ (jaxsr.superposition.SuperpositionRegressor attribute) confidence_band() (jaxsr.regressor.SymbolicRegressor method) ConfidenceBandWidth (class in jaxsr.acquisition) conformal_classification_split() (in module jaxsr.uncertainty) conformal_predict_jackknife_plus() (in module jaxsr.uncertainty) conformal_predict_split() (in module jaxsr.uncertainty) Constraint (class in jaxsr.constraints) constraint_type (jaxsr.constraints.Constraint attribute) ConstraintEvaluator (class in jaxsr.constraints) Constraints (class in jaxsr.constraints) ConstraintType (class in jaxsr.constraints) continuous_indices (jaxsr.basis.BasisLibrary property) converged (jaxsr.selection.ClassificationResult attribute) converged() (jaxsr.acquisition.ActiveLearner method) CONVEX (jaxsr.constraints.ConstraintType attribute) coordinate_descent_elastic_net() (in module jaxsr.selection) coordinate_descent_lasso() (in module jaxsr.selection) coords_ (jaxsr.derivatives.SurfaceDerivatives attribute) copy() (jaxsr.basis.BasisLibrary method) covariance_matrix_ (jaxsr.regressor.SymbolicRegressor property) covers() (jaxsr.superposition.MasterCurve method) cross_validate() (in module jaxsr.metrics) cross_validate_classification() (in module jaxsr.metrics) CUSTOM (jaxsr.constraints.ConstraintType attribute)

D

D_OPTIMAL (jaxsr.acquisition.BatchStrategy attribute) d_optimal_select() (in module jaxsr.sampling) decision_function() (jaxsr.classifier.SymbolicClassifier method) decode() (in module jaxsr.rsm) (jaxsr.rsm.ResponseSurface method)

deriv (jaxsr.superposition.ShiftTerm attribute) derivatives() (jaxsr.derivatives.SurfaceDerivatives method) describe() (jaxsr.additive.AdditiveSymbolicModel method) (jaxsr.additive.ensemble.AdditiveSymbolicModel method) df (jaxsr.uncertainty.AnovaRow attribute) DOptimal (class in jaxsr.acquisition)

E

effective_activation_energy() (jaxsr.superposition.SuperpositionRegressor method) effective_dof_ (jaxsr.derivatives.SurfaceDerivatives attribute) effective_sample_size_ (jaxsr.regressor.SymbolicRegressor property) eigenvalues (jaxsr.rsm.CanonicalAnalysis attribute) eigenvectors (jaxsr.rsm.CanonicalAnalysis attribute) encode() (in module jaxsr.rsm) (jaxsr.rsm.ResponseSurface method) ensemble_predict() (in module jaxsr.uncertainty) EnsembleDisagreement (class in jaxsr.acquisition) ERROR (jaxsr.sampling.SamplingStrategy attribute) estimate_partial_derivatives() (in module jaxsr.derivatives) estimators_ (jaxsr.regressor.MultiOutputSymbolicRegressor attribute) (jaxsr.regressor.MultiOutputSymbolicRegressor property) evaluate() (jaxsr.basis.BasisFunction method) (jaxsr.basis.BasisLibrary method) evaluate_subset() (jaxsr.basis.BasisLibrary method) exhaustive_classification() (in module jaxsr.selection) exhaustive_search() (in module jaxsr.selection) expand_sisso_style() (jaxsr.basis.BasisLibrary method)

ExpectedImprovement (class in jaxsr.acquisition) expression (jaxsr.superposition.ShiftTerm attribute) expression() (jaxsr.selection.ClassificationResult method) (jaxsr.selection.SelectionResult method) expression_ (jaxsr.additive.recursive.RecursiveSymbolicRegressor property) (jaxsr.additive.RecursiveSymbolicRegressor property) (jaxsr.classifier.SymbolicClassifier attribute) (jaxsr.classifier.SymbolicClassifier property) (jaxsr.regressor.SymbolicRegressor attribute) (jaxsr.regressor.SymbolicRegressor property) expressions (jaxsr.additive.AdditiveSymbolicModel property) (jaxsr.additive.ensemble.AdditiveSymbolicModel property) (jaxsr.uncertainty.BayesianModelAverage property) expressions_ (jaxsr.additive.backfitting.BackfittingSymbolicRegressor attribute) (jaxsr.additive.BackfittingSymbolicRegressor attribute) (jaxsr.additive.stagewise.StagewiseSymbolicRegressor attribute) (jaxsr.additive.StagewiseSymbolicRegressor attribute) (jaxsr.regressor.MultiOutputSymbolicRegressor attribute) (jaxsr.regressor.MultiOutputSymbolicRegressor property)

F

f_value (jaxsr.uncertainty.AnovaRow attribute) factorial() (jaxsr.rsm.ResponseSurface method) factorial_design() (in module jaxsr.rsm) feature_indices (jaxsr.basis.BasisFunction attribute) feature_names (jaxsr.additive.AdditiveSymbolicModel attribute) (jaxsr.additive.ensemble.AdditiveSymbolicModel attribute) filter_by_block() (jaxsr.basis.BasisLibrary method) filter_by_complexity() (jaxsr.basis.BasisLibrary method) filter_by_features() (jaxsr.basis.BasisLibrary method) fit() (jaxsr.additive.backfitting.BackfittingSymbolicRegressor method) (jaxsr.additive.BackfittingSymbolicRegressor method) (jaxsr.additive.recursive.RecursiveSymbolicRegressor method) (jaxsr.additive.RecursiveSymbolicRegressor method) (jaxsr.additive.stagewise.StagewiseSymbolicRegressor method) (jaxsr.additive.StagewiseSymbolicRegressor method) (jaxsr.classifier.SymbolicClassifier method) (jaxsr.derivatives.SurfaceDerivatives method) (jaxsr.regressor.MultiOutputSymbolicRegressor method) (jaxsr.regressor.SymbolicRegressor method) (jaxsr.rsm.ResponseSurface method) (jaxsr.superposition.SuperpositionRegressor method)

fit_classification_subset() (in module jaxsr.selection) fit_constrained_ols() (in module jaxsr.constraints) fit_irls() (in module jaxsr.selection) fit_logistic_lasso() (in module jaxsr.selection) fit_ols() (in module jaxsr.selection) fit_ridge() (in module jaxsr.selection) fit_subset() (in module jaxsr.selection) fit_symbolic() (in module jaxsr.regressor) fit_symbolic_classification() (in module jaxsr.classifier) FIXED (jaxsr.constraints.ConstraintType attribute) flags (jaxsr.superposition.ValidityReport attribute) format_comparison_table() (in module jaxsr.metrics) fractional_factorial() (jaxsr.rsm.ResponseSurface method) fractional_factorial_design() (in module jaxsr.rsm) from_dict() (jaxsr.basis.BasisLibrary class method) (jaxsr.constraints.Constraint class method) (jaxsr.constraints.Constraints class method) func (jaxsr.basis.BasisFunction attribute) (jaxsr.basis.ParametricBasisInfo attribute) func_config (jaxsr.basis.BasisFunction attribute) func_type (jaxsr.basis.BasisFunction attribute) functions (jaxsr.acquisition.Composite attribute)

G

get_fixed_indices() (jaxsr.constraints.ConstraintEvaluator method) get_loss() (in module jaxsr.additive) (in module jaxsr.additive.losses) GRADIENT (jaxsr.sampling.SamplingStrategy attribute) GREEDY (jaxsr.acquisition.BatchStrategy attribute)

greedy_backward_classification() (in module jaxsr.selection) greedy_backward_elimination() (in module jaxsr.selection) greedy_forward_classification() (in module jaxsr.selection) greedy_forward_selection() (in module jaxsr.selection) grid_sample() (in module jaxsr.sampling) group_indices() (in module jaxsr.metrics)

H

halton_sample() (in module jaxsr.sampling) hard (jaxsr.constraints.Constraint attribute) has_parametric (jaxsr.basis.BasisLibrary property) history_ (jaxsr.additive.recursive.RecursiveSymbolicRegressor attribute) (jaxsr.additive.RecursiveSymbolicRegressor attribute) history_X (jaxsr.acquisition.ActiveLearner attribute)

history_y (jaxsr.acquisition.ActiveLearner attribute) holdout (jaxsr.superposition.ValidityReport attribute) holdout_collapse_median (jaxsr.superposition.ValidityReport attribute) holdout_ratio_median (jaxsr.superposition.ValidityReport attribute) HuberLoss (class in jaxsr.additive) (class in jaxsr.additive.losses)

I

in_sample_collapse (jaxsr.superposition.ValidityReport attribute) initial_params (jaxsr.basis.ParametricBasisInfo attribute) initial_prediction() (jaxsr.additive.AbsoluteError method) (jaxsr.additive.HuberLoss method) (jaxsr.additive.Loss method) (jaxsr.additive.losses.AbsoluteError method) (jaxsr.additive.losses.HuberLoss method) (jaxsr.additive.losses.Loss method) (jaxsr.additive.losses.QuantileLoss method) (jaxsr.additive.losses.SquaredError method) (jaxsr.additive.QuantileLoss method) (jaxsr.additive.SquaredError method)

intercept (jaxsr.additive.AdditiveSymbolicModel attribute) (jaxsr.additive.ensemble.AdditiveSymbolicModel attribute) intercept_ (jaxsr.additive.backfitting.BackfittingSymbolicRegressor attribute) (jaxsr.additive.BackfittingSymbolicRegressor attribute) (jaxsr.additive.stagewise.StagewiseSymbolicRegressor attribute) (jaxsr.additive.StagewiseSymbolicRegressor attribute) is_parametric (jaxsr.superposition.ShiftTerm property) iteration (jaxsr.acquisition.ActiveLearner attribute)

J

jaxsr.acquisition module jaxsr.additive module jaxsr.additive.backfitting module jaxsr.additive.base module jaxsr.additive.coefficient_refit module jaxsr.additive.ensemble module jaxsr.additive.losses module jaxsr.additive.recursive module jaxsr.additive.stagewise module jaxsr.additive.uncertainty module jaxsr.basis module

jaxsr.classifier module jaxsr.constraints module jaxsr.derivatives module jaxsr.metrics module jaxsr.plotting module jaxsr.regressor module jaxsr.rsm module jaxsr.sampling module jaxsr.selection module jaxsr.superposition module jaxsr.uncertainty module

K

KRIGING_BELIEVER (jaxsr.acquisition.BatchStrategy attribute)

L

lasso_path_classification() (in module jaxsr.selection) lasso_path_selection() (in module jaxsr.selection) latin_hypercube_sample() (in module jaxsr.sampling) LCB (class in jaxsr.acquisition) learning_rates (jaxsr.additive.AdditiveSymbolicModel attribute) (jaxsr.additive.ensemble.AdditiveSymbolicModel attribute) learning_rates_ (jaxsr.additive.stagewise.StagewiseSymbolicRegressor attribute) (jaxsr.additive.StagewiseSymbolicRegressor attribute) LEVERAGE (jaxsr.sampling.SamplingStrategy attribute) library_size_ (jaxsr.additive.recursive.RecursiveSymbolicRegressor attribute) (jaxsr.additive.RecursiveSymbolicRegressor attribute) LINEAR (jaxsr.constraints.ConstraintType attribute) load() (jaxsr.basis.BasisLibrary class method) (jaxsr.classifier.SymbolicClassifier class method) (jaxsr.regressor.MultiOutputSymbolicRegressor class method) (jaxsr.regressor.SymbolicRegressor class method)

log_scale (jaxsr.basis.ParametricBasisInfo attribute) (jaxsr.superposition.ShiftTerm attribute) Loss (class in jaxsr.additive) (class in jaxsr.additive.losses) loss() (jaxsr.additive.AbsoluteError method) (jaxsr.additive.HuberLoss method) (jaxsr.additive.Loss method) (jaxsr.additive.losses.AbsoluteError method) (jaxsr.additive.losses.HuberLoss method) (jaxsr.additive.losses.Loss method) (jaxsr.additive.losses.QuantileLoss method) (jaxsr.additive.losses.SquaredError method) (jaxsr.additive.QuantileLoss method) (jaxsr.additive.SquaredError method) loss_from_config() (in module jaxsr.additive) (in module jaxsr.additive.losses)

M

master_curve_ (jaxsr.superposition.SuperpositionRegressor attribute) MasterCurve (class in jaxsr.superposition) mean_sq (jaxsr.uncertainty.AnovaRow attribute) metadata (jaxsr.acquisition.AcquisitionResult attribute), [1] metrics_ (jaxsr.classifier.SymbolicClassifier attribute) (jaxsr.classifier.SymbolicClassifier property) (jaxsr.regressor.SymbolicRegressor attribute) (jaxsr.regressor.SymbolicRegressor property) model_ (jaxsr.additive.backfitting.BackfittingSymbolicRegressor attribute) (jaxsr.additive.BackfittingSymbolicRegressor attribute) (jaxsr.additive.recursive.RecursiveSymbolicRegressor attribute) (jaxsr.additive.RecursiveSymbolicRegressor attribute) (jaxsr.additive.stagewise.StagewiseSymbolicRegressor attribute) (jaxsr.additive.StagewiseSymbolicRegressor attribute) ModelComparison (class in jaxsr.metrics) ModelDiscrimination (class in jaxsr.acquisition) ModelMax (class in jaxsr.acquisition) ModelMin (class in jaxsr.acquisition) models (jaxsr.metrics.ModelComparison attribute) module jaxsr.acquisition jaxsr.additive jaxsr.additive.backfitting jaxsr.additive.base jaxsr.additive.coefficient_refit jaxsr.additive.ensemble jaxsr.additive.losses jaxsr.additive.recursive jaxsr.additive.stagewise jaxsr.additive.uncertainty jaxsr.basis jaxsr.classifier jaxsr.constraints jaxsr.derivatives jaxsr.metrics jaxsr.plotting jaxsr.regressor jaxsr.rsm jaxsr.sampling jaxsr.selection jaxsr.superposition jaxsr.uncertainty

MONOTONIC (jaxsr.constraints.ConstraintType attribute) mse (jaxsr.selection.SelectionResult attribute) MultiOutputSymbolicRegressor (class in jaxsr.regressor)

N

n_features_in_ (jaxsr.derivatives.SurfaceDerivatives attribute) n_iter (jaxsr.selection.ClassificationResult attribute) n_observations (jaxsr.acquisition.ActiveLearner property) n_outputs_ (jaxsr.regressor.MultiOutputSymbolicRegressor attribute) (jaxsr.regressor.MultiOutputSymbolicRegressor property) n_points (jaxsr.superposition.MasterCurve attribute) n_samples (jaxsr.selection.ClassificationResult attribute) (jaxsr.selection.SelectionResult attribute) n_terms (jaxsr.additive.AdditiveSymbolicModel property) (jaxsr.additive.ensemble.AdditiveSymbolicModel property) (jaxsr.selection.ClassificationResult property) (jaxsr.selection.SelectionResult property) n_terms_ (jaxsr.additive.backfitting.BackfittingSymbolicRegressor attribute) (jaxsr.additive.BackfittingSymbolicRegressor attribute) (jaxsr.additive.stagewise.StagewiseSymbolicRegressor attribute) (jaxsr.additive.StagewiseSymbolicRegressor attribute) name (jaxsr.acquisition.AcquisitionFunction property) (jaxsr.acquisition.Composite property) (jaxsr.additive.AbsoluteError attribute) (jaxsr.additive.HuberLoss attribute) (jaxsr.additive.Loss attribute) (jaxsr.additive.losses.AbsoluteError attribute) (jaxsr.additive.losses.HuberLoss attribute) (jaxsr.additive.losses.Loss attribute) (jaxsr.additive.losses.QuantileLoss attribute) (jaxsr.additive.losses.SquaredError attribute) (jaxsr.additive.QuantileLoss attribute) (jaxsr.additive.SquaredError attribute) (jaxsr.basis.BasisFunction attribute) (jaxsr.basis.ParametricBasisInfo attribute) (jaxsr.superposition.ShiftTerm attribute)

names (jaxsr.basis.BasisLibrary property) (jaxsr.metrics.ModelComparison attribute) nature (jaxsr.rsm.CanonicalAnalysis attribute) neg_log_likelihood (jaxsr.selection.ClassificationResult attribute) negative_gradient() (jaxsr.additive.AbsoluteError method) (jaxsr.additive.HuberLoss method) (jaxsr.additive.Loss method) (jaxsr.additive.losses.AbsoluteError method) (jaxsr.additive.losses.HuberLoss method) (jaxsr.additive.losses.Loss method) (jaxsr.additive.losses.QuantileLoss method) (jaxsr.additive.losses.SquaredError method) (jaxsr.additive.QuantileLoss method) (jaxsr.additive.SquaredError method) noise_floor (jaxsr.superposition.ValidityReport attribute) noise_floor_ (jaxsr.superposition.SuperpositionRegressor attribute) noise_floor_source (jaxsr.superposition.ValidityReport attribute) noise_floor_source_ (jaxsr.superposition.SuperpositionRegressor attribute) noise_std_ (jaxsr.derivatives.SurfaceDerivatives attribute)

P

p_value (jaxsr.uncertainty.AnovaRow attribute) param_bounds (jaxsr.basis.ParametricBasisInfo attribute) (jaxsr.superposition.ShiftTerm attribute) parametric_params (jaxsr.selection.SelectionResult attribute) ParametricBasisInfo (class in jaxsr.basis) params (jaxsr.constraints.Constraint attribute) pareto_front_ (jaxsr.classifier.SymbolicClassifier property) (jaxsr.regressor.SymbolicRegressor attribute) (jaxsr.regressor.SymbolicRegressor property) PENALIZED (jaxsr.acquisition.BatchStrategy attribute) plot_bma_weights() (in module jaxsr.plotting) plot_coefficient_intervals() (in module jaxsr.plotting) plot_coefficient_path() (in module jaxsr.plotting) plot_comparison() (in module jaxsr.plotting) plot_contour() (jaxsr.rsm.ResponseSurface method) plot_feature_importance() (in module jaxsr.plotting) plot_learning_curve() (in module jaxsr.plotting) plot_model_selection() (in module jaxsr.plotting) plot_pareto_front() (in module jaxsr.plotting) plot_parity() (in module jaxsr.plotting) plot_prediction_intervals() (in module jaxsr.plotting) plot_prediction_surface() (in module jaxsr.plotting) plot_residuals() (in module jaxsr.plotting) plot_surface() (jaxsr.rsm.ResponseSurface method)

points (jaxsr.acquisition.AcquisitionResult attribute), [1] (jaxsr.sampling.SamplingResult attribute) predict() (jaxsr.additive.AdditiveSymbolicModel method) (jaxsr.additive.ensemble.AdditiveSymbolicModel method) (jaxsr.additive.recursive.RecursiveSymbolicRegressor method) (jaxsr.additive.RecursiveSymbolicRegressor method) (jaxsr.classifier.SymbolicClassifier method) (jaxsr.derivatives.SurfaceDerivatives method) (jaxsr.regressor.MultiOutputSymbolicRegressor method) (jaxsr.regressor.SymbolicRegressor method) (jaxsr.rsm.ResponseSurface method) (jaxsr.superposition.MasterCurve method) (jaxsr.superposition.SuperpositionRegressor method) (jaxsr.uncertainty.BayesianModelAverage method) predict_bma() (jaxsr.regressor.SymbolicRegressor method) predict_conformal() (jaxsr.classifier.SymbolicClassifier method) (jaxsr.regressor.SymbolicRegressor method) predict_ensemble() (jaxsr.regressor.SymbolicRegressor method) predict_interval() (jaxsr.regressor.SymbolicRegressor method) (jaxsr.uncertainty.BayesianModelAverage method) predict_log_proba() (jaxsr.classifier.SymbolicClassifier method) predict_proba() (jaxsr.classifier.SymbolicClassifier method) prediction_interval() (in module jaxsr.uncertainty) PredictionVariance (class in jaxsr.acquisition) ProbabilityOfImprovement (class in jaxsr.acquisition)

Q

QuantileLoss (class in jaxsr.additive) (class in jaxsr.additive.losses)

R

RANDOM (jaxsr.sampling.SamplingStrategy attribute) rankings (jaxsr.metrics.ModelComparison attribute) RecursiveSymbolicRegressor (class in jaxsr.additive) (class in jaxsr.additive.recursive) reference_ (jaxsr.superposition.SuperpositionRegressor attribute) refit_ols() (in module jaxsr.additive) (in module jaxsr.additive.coefficient_refit)

residual_std_ (jaxsr.derivatives.SurfaceDerivatives attribute) resolved_params (jaxsr.basis.ParametricBasisInfo attribute) ResponseSurface (class in jaxsr.rsm) results (jaxsr.selection.ClassificationPath attribute) (jaxsr.selection.SelectionPath attribute) rows (jaxsr.uncertainty.AnovaResult attribute)

S

sample_weight_ (jaxsr.regressor.SymbolicRegressor property) SamplingResult (class in jaxsr.sampling) SamplingStrategy (class in jaxsr.sampling) save() (jaxsr.basis.BasisLibrary method) (jaxsr.classifier.SymbolicClassifier method) (jaxsr.regressor.MultiOutputSymbolicRegressor method) (jaxsr.regressor.SymbolicRegressor method) score() (jaxsr.acquisition.AcquisitionFunction method) (jaxsr.acquisition.AOptimal method) (jaxsr.acquisition.BMAUncertainty method) (jaxsr.acquisition.Composite method) (jaxsr.acquisition.ConfidenceBandWidth method) (jaxsr.acquisition.DOptimal method) (jaxsr.acquisition.EnsembleDisagreement method) (jaxsr.acquisition.ExpectedImprovement method) (jaxsr.acquisition.LCB method) (jaxsr.acquisition.ModelDiscrimination method) (jaxsr.acquisition.ModelMax method) (jaxsr.acquisition.ModelMin method) (jaxsr.acquisition.PredictionVariance method) (jaxsr.acquisition.ProbabilityOfImprovement method) (jaxsr.acquisition.ThompsonSampling method) (jaxsr.acquisition.UCB method) (jaxsr.additive.recursive.RecursiveSymbolicRegressor method) (jaxsr.additive.RecursiveSymbolicRegressor method) (jaxsr.classifier.SymbolicClassifier method) (jaxsr.regressor.MultiOutputSymbolicRegressor method) (jaxsr.regressor.SymbolicRegressor method) scores (jaxsr.acquisition.AcquisitionResult attribute), [1] (jaxsr.sampling.SamplingResult attribute) select_features() (in module jaxsr.selection) select_features_classification() (in module jaxsr.selection) selected_features_ (jaxsr.additive.recursive.RecursiveSymbolicRegressor property) (jaxsr.additive.RecursiveSymbolicRegressor property) (jaxsr.classifier.SymbolicClassifier attribute) (jaxsr.classifier.SymbolicClassifier property) (jaxsr.regressor.SymbolicRegressor attribute) (jaxsr.regressor.SymbolicRegressor property) selected_indices (jaxsr.selection.ClassificationResult attribute) (jaxsr.selection.SelectionResult attribute) selected_indices_ (jaxsr.regressor.SymbolicRegressor property) selected_names (jaxsr.selection.ClassificationResult attribute) (jaxsr.selection.SelectionResult attribute) selection_model_ (jaxsr.superposition.SuperpositionRegressor attribute)

selection_path_ (jaxsr.regressor.SymbolicRegressor property) SelectionPath (class in jaxsr.selection) SelectionResult (class in jaxsr.selection) shift_error_median (jaxsr.superposition.ValidityReport attribute) shift_expression_ (jaxsr.superposition.SuperpositionRegressor attribute) (jaxsr.superposition.SuperpositionRegressor property) shift_factors() (jaxsr.superposition.SuperpositionRegressor method) ShiftTerm (class in jaxsr.superposition) sigma_ (jaxsr.regressor.SymbolicRegressor property) SIGN (jaxsr.constraints.ConstraintType attribute) smoother (jaxsr.superposition.MasterCurve attribute) smoothing_ (jaxsr.derivatives.SurfaceDerivatives attribute) smoothing_source_ (jaxsr.derivatives.SurfaceDerivatives attribute) sobol_sample() (in module jaxsr.sampling) source (jaxsr.uncertainty.AnovaRow attribute) SPACE_FILLING (jaxsr.sampling.SamplingStrategy attribute) SquaredError (class in jaxsr.additive) (class in jaxsr.additive.losses) stability_ (jaxsr.superposition.SuperpositionRegressor attribute) StagewiseSymbolicRegressor (class in jaxsr.additive) (class in jaxsr.additive.stagewise) stationary_point (jaxsr.rsm.CanonicalAnalysis attribute) stationary_response (jaxsr.rsm.CanonicalAnalysis attribute) std (jaxsr.superposition.MasterCurve attribute) strategy (jaxsr.sampling.SamplingResult attribute) (jaxsr.selection.ClassificationPath attribute) (jaxsr.selection.SelectionPath attribute) suggest() (jaxsr.acquisition.ActiveLearner method) (jaxsr.sampling.AdaptiveSampler method) suggest_points() (in module jaxsr.acquisition) sum_sq (jaxsr.uncertainty.AnovaRow attribute) summarize_selection_replicates() (in module jaxsr.uncertainty) summary() (jaxsr.basis.BasisLibrary method) (jaxsr.classifier.SymbolicClassifier method) (jaxsr.derivatives.SurfaceDerivatives method) (jaxsr.regressor.MultiOutputSymbolicRegressor method) (jaxsr.regressor.SymbolicRegressor method) (jaxsr.rsm.ResponseSurface method) (jaxsr.superposition.SuperpositionRegressor method) (jaxsr.superposition.ValidityReport method) SuperpositionRegressor (class in jaxsr.superposition) SurfaceDerivatives (class in jaxsr.derivatives) surfaces_ (jaxsr.superposition.SuperpositionRegressor attribute) SymbolicClassifier (class in jaxsr.classifier) SymbolicRegressor (class in jaxsr.regressor)

T

target (jaxsr.constraints.Constraint attribute) target_names_ (jaxsr.regressor.MultiOutputSymbolicRegressor attribute) (jaxsr.regressor.MultiOutputSymbolicRegressor property) term_names (jaxsr.uncertainty.AnovaResult property) terms (jaxsr.additive.AdditiveSymbolicModel attribute) (jaxsr.additive.ensemble.AdditiveSymbolicModel attribute) terms_ (jaxsr.additive.backfitting.BackfittingSymbolicRegressor attribute) (jaxsr.additive.BackfittingSymbolicRegressor attribute) (jaxsr.additive.stagewise.StagewiseSymbolicRegressor attribute) (jaxsr.additive.StagewiseSymbolicRegressor attribute) test_metrics (jaxsr.metrics.ModelComparison attribute) ThompsonSampling (class in jaxsr.acquisition) thresholds (jaxsr.superposition.ValidityReport attribute) to_callable() (jaxsr.classifier.SymbolicClassifier method) (jaxsr.regressor.MultiOutputSymbolicRegressor method) (jaxsr.regressor.SymbolicRegressor method) to_config() (jaxsr.additive.HuberLoss method) (jaxsr.additive.Loss method) (jaxsr.additive.losses.HuberLoss method) (jaxsr.additive.losses.Loss method) (jaxsr.additive.losses.QuantileLoss method) (jaxsr.additive.QuantileLoss method) to_dict() (jaxsr.basis.BasisFunction method) (jaxsr.basis.BasisLibrary method) (jaxsr.constraints.Constraint method) (jaxsr.constraints.Constraints method) (jaxsr.selection.ClassificationResult method) (jaxsr.selection.SelectionResult method) (jaxsr.superposition.ValidityReport method) (jaxsr.uncertainty.AnovaResult method)

to_expression() (jaxsr.additive.AdditiveSymbolicModel method) (jaxsr.additive.ensemble.AdditiveSymbolicModel method) to_latex() (jaxsr.classifier.SymbolicClassifier method) (jaxsr.regressor.MultiOutputSymbolicRegressor method) (jaxsr.regressor.SymbolicRegressor method) to_sympy() (jaxsr.classifier.SymbolicClassifier method) (jaxsr.regressor.MultiOutputSymbolicRegressor method) (jaxsr.regressor.SymbolicRegressor method) train_metrics (jaxsr.metrics.ModelComparison attribute) training_history (jaxsr.additive.AdditiveSymbolicModel attribute) (jaxsr.additive.ensemble.AdditiveSymbolicModel attribute) training_history_ (jaxsr.additive.backfitting.BackfittingSymbolicRegressor attribute) (jaxsr.additive.BackfittingSymbolicRegressor attribute) (jaxsr.additive.stagewise.StagewiseSymbolicRegressor attribute) (jaxsr.additive.StagewiseSymbolicRegressor attribute) transform() (jaxsr.superposition.SuperpositionRegressor method) type (jaxsr.uncertainty.AnovaResult attribute)

U

UCB (class in jaxsr.acquisition) UNCERTAINTY (jaxsr.sampling.SamplingStrategy attribute)

update() (jaxsr.acquisition.ActiveLearner method) (jaxsr.regressor.SymbolicRegressor method)

V

validity_report_ (jaxsr.superposition.SuperpositionRegressor attribute) ValidityReport (class in jaxsr.superposition) values_ (jaxsr.derivatives.SurfaceDerivatives attribute)

verdict (jaxsr.superposition.ValidityReport attribute) vertical_expressions_ (jaxsr.superposition.SuperpositionRegressor attribute) (jaxsr.superposition.SuperpositionRegressor property) vertical_shifts() (jaxsr.superposition.SuperpositionRegressor method)

W

warnings (jaxsr.rsm.CanonicalAnalysis attribute) (jaxsr.uncertainty.AnovaResult attribute)

weight (jaxsr.constraints.Constraint attribute) weights (jaxsr.uncertainty.BayesianModelAverage property) without_blocks() (jaxsr.basis.BasisLibrary method)

Y

y (jaxsr.superposition.MasterCurve attribute)

Z

z (jaxsr.superposition.MasterCurve attribute)

z_max (jaxsr.superposition.MasterCurve attribute) z_min (jaxsr.superposition.MasterCurve attribute)