Index

_

__init__() (pymde.Anchored method) (pymde.MDE method)

A

Absolute (class in pymde.losses) adjacency_matrix (pymde.Graph property) align() (in module pymde)

all_edges() (in module pymde) Anchored (class in pymde) average_distortion() (pymde.MDE method) average_distortions (pymde.optim.SolveStats attribute)

C

center() (in module pymde) Centered() (in module pymde) Constraint (class in pymde.constraints) constraint (pymde.MDE attribute)

counties() (in module pymde.datasets) covid19_scrna_wilk() (in module pymde.datasets) Cubic (class in pymde.losses) (class in pymde.penalties)

D

Dataset (class in pymde.datasets) device (pymde.MDE attribute) differences() (pymde.MDE method) dissimilar_edges() (in module pymde.preprocess) distances (pymde.Graph property)

distances() (in module pymde.preprocess) (pymde.MDE method) distortion_function (pymde.MDE attribute) distortions() (pymde.MDE method) distortions_cdf() (pymde.MDE method) draw() (pymde.Graph method)

E

edges (pymde.Graph property) (pymde.MDE attribute)

embed() (pymde.MDE method) embedding_dim (pymde.MDE attribute)

F

FashionMNIST() (in module pymde.datasets)

Fractional (class in pymde.losses) from_edges() (pymde.Graph static method)

G

google_scholar() (in module pymde.datasets)

google_scholar_interests() (in module pymde.datasets) Graph (class in pymde)

H

high_distortion_pairs() (pymde.MDE method)

Huber (class in pymde.penalties)

I

initialization() (pymde.constraints.Constraint method)

InvPower (class in pymde.penalties)

K

k_nearest_neighbors() (in module pymde.preprocess)

L

laplacian_embedding() (in module pymde) Linear (class in pymde.penalties) Log (class in pymde.penalties)

Log1p (class in pymde.penalties) Logistic (class in pymde.penalties) LogRatio (class in pymde.penalties)

M

MDE (class in pymde) MNIST() (in module pymde.datasets)

module pymde.losses pymde.penalties

N

n_all_edges (pymde.Graph property) n_edges (pymde.Graph property) n_items (pymde.Graph property) (pymde.MDE attribute)

name() (pymde.constraints.Constraint method) neighbor_distances() (pymde.Graph method) neighbors() (pymde.Graph method)

P

pca() (in module pymde) play() (pymde.MDE method) plot() (in module pymde) (pymde.MDE method) population_genetics() (in module pymde.datasets) Power (class in pymde.losses) (class in pymde.penalties) preserve_distances() (in module pymde)

preserve_neighbors() (in module pymde) project_onto_constraint() (pymde.constraints.Constraint method) project_onto_tangent_space() (pymde.constraints.Constraint method) PushAndPull (class in pymde.penalties) pymde.losses module pymde.penalties module

Q

Quadratic (class in pymde.losses) (class in pymde.penalties)

R

residual_norms (pymde.optim.SolveStats attribute)

rotate() (in module pymde)

S

seed() (in module pymde) snapshot_every (pymde.optim.SolveStats attribute) snapshots (pymde.optim.SolveStats attribute) SoftFractional (class in pymde.losses) solve_stats (pymde.MDE attribute)

solve_time (pymde.optim.SolveStats attribute) SolveStats (class in pymde.optim) spectral() (in module pymde.quadratic) Standardized() (in module pymde) step_size_percents (pymde.optim.SolveStats attribute)

T

to() (pymde.MDE method)

W

WeightedQuadratic (class in pymde.losses)