Index

A

alt_min() (in module spalor.algorithms.mc_algorithms) alt_proj() (in module spalor.algorithms.mc_algorithms) altAdaptiveThresh() (in module spalor.algorithms.rpca_algorithms)

altNonconvexThresh() (in module spalor.algorithms.rpca_algorithms) altProj() (in module spalor.algorithms.rpca_algorithms) altProjNiave() (in module spalor.algorithms.rpca_algorithms) altSoftThresh() (in module spalor.algorithms.rpca_algorithms)

C

CUR (class in spalor.models)

CX (class in spalor.models)

F

fit() (spalor.models.CUR method) (spalor.models.CX method) (spalor.models.MC method) (spalor.models.RPCA method)

fit_transform() (spalor.models.CX method) (spalor.models.MC method) (spalor.models.RPCA method)

G

get_covariance() (spalor.models.MC method) (spalor.models.RPCA method)

group_sparse_regression_CX() (in module spalor.algorithms.cx_algorithms)

I

inverse_transform() (spalor.models.CX method)

L

leverage_score() (in module spalor.matrix_tools.leverage_score) leverage_score_aprx() (in module spalor.matrix_tools.leverage_score)

leverage_score_exact() (in module spalor.matrix_tools.leverage_score) lmafit() (in module spalor.algorithms.mc_algorithms)

M

MC (class in spalor.models) module spalor.algorithms.cx_algorithms spalor.algorithms.mc_algorithms spalor.algorithms.rpca_algorithms spalor.matrix_tools.factorization_util spalor.matrix_tools.leverage_score

P

partXY() (in module spalor.matrix_tools.factorization_util)

predict() (spalor.models.MC method)

R

RPCA (class in spalor.models)

S

spalor.algorithms.cx_algorithms module spalor.algorithms.mc_algorithms module spalor.algorithms.rpca_algorithms module

spalor.matrix_tools.factorization_util module spalor.matrix_tools.leverage_score module svd_from_factorization() (in module spalor.matrix_tools.factorization_util) svd_low_rank_plus_sparse() (in module spalor.matrix_tools.factorization_util) svt() (in module spalor.algorithms.mc_algorithms)

T

to_matrix() (spalor.models.MC method) (spalor.models.RPCA method)

transform() (spalor.models.CX method) (spalor.models.RPCA method)