Index

_

__init__() (pymars.basis.BasisFunction method) (pymars.basis.HingeFunction method) (pymars.basis.InteractionConstraint method) (pymars.cubic.CubicBasisFunction method) (pymars.cubic.CubicHingeFunction method) (pymars.gcv.CVCalculator method) (pymars.gcv.GCVCalculator method) (pymars.interactions.InteractionAnalyzer method) (pymars.mars.MARS method) (pymars.model.BackwardPass method) (pymars.model.ForwardPass method)

A

add_hinge() (pymars.basis.BasisFunction method)

analyze_interactions_full() (in module pymars.interactions) apply_endspan_constraint() (in module pymars.utils)

B

Backward Pass BackwardPass (class in pymars.model) Basis Function

basis_functions_ (pymars.mars.MARS attribute) BasisFunction (class in pymars.basis) build_design_matrix() (in module pymars.basis)

C

calculate() (pymars.gcv.GCVCalculator method) calculate_endspan() (in module pymars.utils) calculate_from_fit() (pymars.gcv.GCVCalculator method) calculate_minspan() (in module pymars.utils) calculate_mse() (in module pymars.gcv) calculate_r2() (in module pymars.gcv) calculate_rss() (in module pymars.gcv)

coefficients_ (pymars.mars.MARS attribute) complexity() (pymars.gcv.GCVCalculator method) compute_h_statistic() (pymars.interactions.InteractionAnalyzer method) convert_to_cubic() (in module pymars.cubic) cubic_interpolation() (in module pymars.utils) CubicBasisFunction (class in pymars.cubic) CubicHingeFunction (class in pymars.cubic) CVCalculator (class in pymars.gcv)

D

decompose_prediction() (pymars.interactions.InteractionAnalyzer method)

degree (pymars.basis.BasisFunction property) (pymars.cubic.CubicBasisFunction property)

E

Endspan evaluate() (pymars.basis.BasisFunction method) (pymars.basis.HingeFunction method) (pymars.cubic.CubicBasisFunction method) (pymars.cubic.CubicHingeFunction method)

evaluate_cubic_basis() (in module pymars.cubic)

F

feature_importances_ (pymars.mars.MARS attribute) find_pure_additive_effects() (pymars.interactions.InteractionAnalyzer method) fit() (pymars.mars.MARS method) (pymars.model.ForwardPass method)

Forward Pass ForwardPass (class in pymars.model)

G

GCV gcv_score_ (pymars.mars.MARS attribute) GCVCalculator (class in pymars.gcv) get_anova_decomposition() (pymars.mars.MARS method)

get_candidate_knots() (in module pymars.utils) get_interaction_strength() (pymars.interactions.InteractionAnalyzer method) get_knot_info() (pymars.basis.BasisFunction method) get_pairwise_interactions() (pymars.interactions.InteractionAnalyzer method)

H

hierarchical_interaction_map() (pymars.interactions.InteractionAnalyzer method)

Hinge Function HingeFunction (class in pymars.basis)

I

Interaction interaction_test() (pymars.interactions.InteractionAnalyzer method)

InteractionAnalyzer (class in pymars.interactions) InteractionConstraint (class in pymars.basis) is_valid() (pymars.basis.InteractionConstraint method)

K

Knot

L

linear_extrapolation() (in module pymars.utils)

M

MARS (class in pymars.mars) Minspan module pymars.basis pymars.cubic pymars.gcv pymars.interactions pymars.mars pymars.model pymars.plots, [1] pymars.utils

N

n_features_in_ (pymars.mars.MARS attribute)

P

Penalty place_side_knots() (in module pymars.cubic) plot_anova_summary() (in module pymars.plots), [1] plot_basis_functions() (in module pymars.plots), [1] plot_bivariate_effect() (in module pymars.plots), [1] plot_feature_importances() (in module pymars.plots), [1] plot_predictions() (in module pymars.plots), [1] plot_univariate_effects() (in module pymars.plots), [1] predict() (pymars.mars.MARS method) print_interaction_report() (in module pymars.interactions) prune() (pymars.model.BackwardPass method) pymars.basis module

pymars.cubic module pymars.gcv module pymars.interactions module pymars.mars module pymars.model module pymars.plots module, [1] pymars.utils module

R

rank_interactions() (pymars.interactions.InteractionAnalyzer method)

S

score() (pymars.mars.MARS method) Smoothing Spline solve_least_squares() (in module pymars.utils)

split_folds() (pymars.gcv.CVCalculator method) standardize_data() (in module pymars.utils) summary() (pymars.mars.MARS method)

U

unstandardize_predictions() (in module pymars.utils)

V

variables (pymars.basis.BasisFunction property) (pymars.cubic.CubicBasisFunction property)