Index

_

_compute_pi() (skmatter._selection._CUR method) (skmatter._selection._PCovCUR method)

_fit_feature_space() (skmatter.decomposition.PCovR method) _fit_sample_space() (skmatter.decomposition.PCovR method)

A

alpha_ (skmatter.linear_model._ridge.RidgeRegression2FoldCV attribute)

B

best_score_ (skmatter.linear_model._ridge.RidgeRegression2FoldCV attribute) built-in function skmatter.datasets.load_csd_1000r() skmatter.datasets.load_degenerate_CH4_manifold() skmatter.datasets.load_nice_dataset()

C

coef_ (skmatter.linear_model._base.OrthogonalRegression attribute) (skmatter.linear_model._ridge.RidgeRegression2FoldCV attribute)

copy (skmatter.preprocessing.StandardFlexibleScaler attribute) cv_values_ (skmatter.linear_model._ridge.RidgeRegression2FoldCV attribute)

D

DirectionalConvexHull (class in skmatter.sample_selection._base)

E

explained_variance_ (skmatter.decomposition.PCovR attribute)

F

fit() (skmatter._selection.GreedySelector method) (skmatter.decomposition.KernelPCovR method) (skmatter.decomposition.PCovR method) (skmatter.preprocessing.KernelNormalizer method) (skmatter.preprocessing.SparseKernelCenterer method) (skmatter.preprocessing.StandardFlexibleScaler method)

fit_transform() (skmatter.preprocessing.KernelNormalizer method) (skmatter.preprocessing.SparseKernelCenterer method)

G

get_distance() (skmatter._selection._FPS method) (skmatter._selection._PCovFPS method) get_select_distance() (skmatter._selection._FPS method) (skmatter._selection._PCovFPS method)

get_support() (skmatter._selection.GreedySelector method) global_reconstruction_distortion() (in module skmatter.metrics) global_reconstruction_error() (in module skmatter.metrics) GreedySelector (class in skmatter._selection)

H

high_dim_idx_ (skmatter.sample_selection._base.DirectionalConvexHull attribute)

I

intercept_ (skmatter.linear_model._ridge.RidgeRegression2FoldCV attribute) interpolator_high_dim_ (skmatter.sample_selection._base.DirectionalConvexHull attribute)

inverse_transform() (skmatter.decomposition.KernelPCovR method) (skmatter.decomposition.PCovR method) (skmatter.preprocessing.StandardFlexibleScaler method)

K

K_fit_all_ (skmatter.preprocessing.KernelNormalizer attribute) (skmatter.preprocessing.SparseKernelCenterer attribute) K_fit_rows_ (skmatter.preprocessing.KernelNormalizer attribute) (skmatter.preprocessing.SparseKernelCenterer attribute)

KernelNormalizer (class in skmatter.preprocessing) KernelPCovR (class in skmatter.decomposition)

L

local_reconstruction_error() (in module skmatter.metrics)

M

max_components_ (skmatter.linear_model._base.OrthogonalRegression attribute) mean_ (skmatter.preprocessing.StandardFlexibleScaler attribute) mixing (skmatter.decomposition.PCovR attribute)

module skmatter.model_selection._split skmatter.preprocessing

N

n_active_ (skmatter.preprocessing.SparseKernelCenterer attribute) n_components (skmatter.decomposition.PCovR attribute)

n_features_ (skmatter.preprocessing.StandardFlexibleScaler attribute) n_samples_seen_ (skmatter.preprocessing.StandardFlexibleScaler attribute)

O

OrthogonalRegression (class in skmatter.linear_model._base)

P

PCovR (class in skmatter.decomposition) pcovr_covariance() (in module skmatter.utils._pcovr_utils) pcovr_kernel() (in module skmatter.utils._pcovr_utils) pkt_ (skmatter.decomposition.KernelPCovR attribute) pky_ (skmatter.decomposition.KernelPCovR attribute) pointwise_global_reconstruction_distortion() (in module skmatter.metrics) pointwise_global_reconstruction_error() (in module skmatter.metrics) pointwise_local_reconstruction_error() (in module skmatter.metrics)

predict() (skmatter.decomposition.KernelPCovR method) (skmatter.decomposition.PCovR method) pt__ (skmatter.decomposition.KernelPCovR attribute) ptx_ (skmatter.decomposition.KernelPCovR attribute) pty_ (skmatter.decomposition.KernelPCovR attribute) (skmatter.decomposition.PCovR attribute) pxt_ (skmatter.decomposition.PCovR attribute) pxy_ (skmatter.decomposition.PCovR attribute)

R

RidgeRegression2FoldCV (class in skmatter.linear_model._ridge)

S

sample_weight_ (skmatter.preprocessing.KernelNormalizer attribute) (skmatter.preprocessing.SparseKernelCenterer attribute) scale_ (skmatter.preprocessing.KernelNormalizer attribute) (skmatter.preprocessing.SparseKernelCenterer attribute) (skmatter.preprocessing.StandardFlexibleScaler attribute) score() (skmatter._selection._CUR method) (skmatter._selection._FPS method) (skmatter._selection._PCovCUR method) (skmatter._selection._PCovFPS method) (skmatter.decomposition.KernelPCovR method) (skmatter.decomposition.PCovR method) selected_idx_ (skmatter.sample_selection._base.DirectionalConvexHull attribute) singular_values_ (skmatter.decomposition.PCovR attribute)

skmatter.datasets.load_csd_1000r() built-in function skmatter.datasets.load_degenerate_CH4_manifold() built-in function skmatter.datasets.load_nice_dataset() built-in function skmatter.model_selection._split module skmatter.preprocessing module space (skmatter.decomposition.PCovR attribute) SparseKernelCenterer (class in skmatter.preprocessing) StandardFlexibleScaler (class in skmatter.preprocessing)

T

tol (skmatter.decomposition.PCovR attribute) transform() (skmatter._selection.GreedySelector method) (skmatter.decomposition.KernelPCovR method) (skmatter.decomposition.PCovR method) (skmatter.preprocessing.KernelNormalizer method) (skmatter.preprocessing.SparseKernelCenterer method) (skmatter.preprocessing.StandardFlexibleScaler method)

V

VoronoiFPS (class in skmatter.sample_selection._voronoi_fps)

X

X_fit_ (skmatter.decomposition.KernelPCovR attribute)

X_orthogonalizer() (in module skmatter.utils._orthogonalizers)

Y

Y_feature_orthogonalizer() (in module skmatter.utils._orthogonalizers)

Y_sample_orthogonalizer() (in module skmatter.utils._orthogonalizers)