Index

A

apply_uamds() (in module uadapy.dr.uamds)

ax (uadapy.plotting.distribution_plot.InteractiveNormal attribute)

C

cdf() (uadapy.Distribution method) (uadapy.distribution.Distribution method) (uadapy.distributions.DiracDelta method) ChiSquareComb (class in uadapy.distributions) (class in uadapy.distributions.chi_square_comb) compute_distribution_trajectories() (in module uadapy.dr.vipurpca) compute_ua_cov() (in module uadapy.dr.uapca) compute_uapca() (in module uadapy.dr.uapca) compute_uncertain_projections() (in module uadapy.dr.vipurpca) confidence_ellipse() (in module uadapy.plotting.distribution_plot) convert_xform_affine_to_uamds() (in module uadapy.dr.uamds) convert_xform_uamds_to_affine() (in module uadapy.dr.uamds) CorrelatedDistributions (class in uadapy) (class in uadapy.timeseries) cov (uadapy.plotting.distribution_plot.InteractiveNormal attribute) cov() (uadapy.CorrelatedDistributions method) (uadapy.Distribution method) (uadapy.distribution.Distribution method) (uadapy.distributions.chi_square_comb.ChiSquareComb method) (uadapy.distributions.ChiSquareComb method) (uadapy.distributions.IndependentJoint method) (uadapy.distributions.multivariate_gmm.MultivariateGMM method) (uadapy.distributions.MultivariateGMM method) (uadapy.TimeSeries method) (uadapy.timeseries.CorrelatedDistributions method) (uadapy.timeseries.TimeSeries method)

cov_real (uadapy.distributions.chi_square_comb.ChiSquareComb.self attribute) (uadapy.distributions.ChiSquareComb.self attribute) covariance (uadapy.distributions.chi_square_comb.ChiSquareComb attribute) (uadapy.distributions.ChiSquareComb attribute) covariance_matrix (uadapy.CorrelatedDistributions attribute) (uadapy.timeseries.CorrelatedDistributions attribute) covariance_type (uadapy.distributions.multivariate_gmm.MultivariateGMM attribute) (uadapy.distributions.MultivariateGMM attribute) covariances_ (uadapy.distributions.multivariate_gmm.MultivariateGMM attribute) (uadapy.distributions.MultivariateGMM attribute) create_gmm_from_components() (in module uadapy.dr.wgmm_uapca) create_shaded_set2_colormap() (in module uadapy.plotting.utils) custom_wasserstein() (in module uadapy.plotting.shepard_diagram)

D

DiracDelta (class in uadapy.distributions) Distribution (class in uadapy) (class in uadapy.distribution) distribution (uadapy.TimeSeries attribute) (uadapy.timeseries.TimeSeries attribute)

distributions (uadapy.CorrelatedDistributions attribute) (uadapy.timeseries.CorrelatedDistributions attribute) draw_loading_arrows() (in module uadapy.dr.vipurpca) draw_pc_wedge() (in module uadapy.dr.vipurpca)

E

eigenvectors (uadapy.plotting.distribution_plot.InteractiveNormal attribute) epsilon (uadapy.plotting.distribution_plot.InteractiveNormal attribute)

estimate_pc_direction_uncertainty() (in module uadapy.dr.vipurpca) extends (uadapy.plotting.distribution_plot.InteractiveNormal attribute)

F

fetch_covtype_distributions_normal() (in module uadapy.data.data)

fit_distribution_pca() (in module uadapy.dr.vipurpca)

G

generate_boxplot() (in module uadapy.plotting.plots_1d) generate_dotplot() (in module uadapy.plotting.plots_1d) generate_multidim_boxplot() (in module uadapy.plotting.plots_1d) generate_multidim_dotplot() (in module uadapy.plotting.plots_1d) generate_multidim_stripplot() (in module uadapy.plotting.plots_1d) generate_multidim_swarmplot() (in module uadapy.plotting.plots_1d) generate_multidim_violinplot() (in module uadapy.plotting.plots_1d) generate_random_colors() (in module uadapy.plotting.utils) generate_spectrum_colors() (in module uadapy.plotting.utils) generate_stripplot() (in module uadapy.plotting.plots_1d)

generate_swarmplot() (in module uadapy.plotting.plots_1d) generate_synthetic_gmm() (in module uadapy.data.data) generate_synthetic_timeseries() (in module uadapy.data.data) generate_violinplot() (in module uadapy.plotting.plots_1d) get_colors() (in module uadapy.plotting.utils) get_ind_under_point() (uadapy.plotting.distribution_plot.InteractiveNormal method) get_means_covs() (in module uadapy.dr.uamds) gmm (uadapy.distributions.multivariate_gmm.MultivariateGMM attribute) (uadapy.distributions.MultivariateGMM attribute) gmm_from_kde() (in module uadapy.distributions.multivariate_gmm) gradient() (in module uadapy.dr.uamds)

I

IndependentJoint (class in uadapy.distributions) init_points() (uadapy.plotting.distribution_plot.InteractiveNormal method)

InteractiveNormal (class in uadapy.plotting.distribution_plot) iterate_simple_gradient_descent() (in module uadapy.dr.uamds)

K

kurt() (uadapy.Distribution method) (uadapy.distribution.Distribution method)

L

load_breast_cancer() (in module uadapy.data.data) load_breast_cancer_normal() (in module uadapy.data.data) load_digits_normal() (in module uadapy.data.data) load_iris() (in module uadapy.data.data) (in module uadapy.plotting.shepard_diagram)

load_iris_gmm() (in module uadapy.data.data) load_iris_normal() (in module uadapy.data.data) load_student_grades() (in module uadapy.data.data) load_wine() (in module uadapy.data.data) load_wine_normal() (in module uadapy.data.data)

M

make_blobs_distributions() (in module uadapy.data.data) make_blobs_distributions_normal() (in module uadapy.data.data) make_circles_distributions() (in module uadapy.data.data) make_circles_distributions_normal() (in module uadapy.data.data) make_classification_distributions_normal() (in module uadapy.data.data) make_gaussian_quantiles_data() (in module uadapy.data.data) make_gaussian_quantiles_normal() (in module uadapy.data.data) make_hastie_10_2_distributions() (in module uadapy.data.data) make_hastie_10_2_distributions_normal() (in module uadapy.data.data) make_moons_distributions() (in module uadapy.data.data) make_moons_distributions_normal() (in module uadapy.data.data) marginal() (uadapy.Distribution method) (uadapy.distribution.Distribution method) (uadapy.distributions.IndependentJoint method) (uadapy.distributions.multivariate_gmm.MultivariateGMM method) (uadapy.distributions.MultivariateGMM method) maximize_axes_limits() (in module uadapy.plotting.plots_nd) mean (uadapy.distributions.DiracDelta attribute) (uadapy.plotting.distribution_plot.InteractiveNormal attribute) mean() (uadapy.CorrelatedDistributions method) (uadapy.Distribution method) (uadapy.distribution.Distribution method) (uadapy.distributions.chi_square_comb.ChiSquareComb method) (uadapy.distributions.ChiSquareComb method) (uadapy.distributions.IndependentJoint method) (uadapy.distributions.multivariate_gmm.MultivariateGMM method) (uadapy.distributions.MultivariateGMM method) (uadapy.TimeSeries method) (uadapy.timeseries.CorrelatedDistributions method) (uadapy.timeseries.TimeSeries method) means_ (uadapy.distributions.multivariate_gmm.MultivariateGMM attribute) (uadapy.distributions.MultivariateGMM attribute) minimize_scipy() (in module uadapy.dr.uamds)

mk_normal_distr_spec() (in module uadapy.dr.uamds) model (uadapy.Distribution attribute) (uadapy.distribution.Distribution attribute) module uadapy uadapy.data uadapy.data.data uadapy.distribution uadapy.distributions uadapy.distributions.chi_square_comb uadapy.distributions.multivariate_gmm uadapy.dr uadapy.dr.uamds uadapy.dr.uapca uadapy.dr.uapca_revisited uadapy.dr.vipurpca uadapy.dr.wgmm_uapca uadapy.plotting uadapy.plotting.distribution_plot uadapy.plotting.plots_1d uadapy.plotting.plots_2d uadapy.plotting.plots_nd uadapy.plotting.plots_timeseries uadapy.plotting.shepard_diagram uadapy.plotting.stippling uadapy.plotting.utils uadapy.timeseries mu_complex (uadapy.distributions.chi_square_comb.ChiSquareComb attribute) (uadapy.distributions.ChiSquareComb attribute) mu_real (uadapy.distributions.chi_square_comb.ChiSquareComb attribute) (uadapy.distributions.ChiSquareComb attribute) MultivariateGMM (class in uadapy.distributions) (class in uadapy.distributions.multivariate_gmm)

N

n_components (uadapy.distributions.multivariate_gmm.MultivariateGMM attribute) (uadapy.distributions.MultivariateGMM attribute) n_dims (uadapy.Distribution attribute) (uadapy.distribution.Distribution attribute) (uadapy.distributions.multivariate_gmm.MultivariateGMM attribute) (uadapy.distributions.MultivariateGMM attribute)

n_distributions (uadapy.CorrelatedDistributions attribute) (uadapy.timeseries.CorrelatedDistributions attribute) n_std (uadapy.plotting.distribution_plot.InteractiveNormal attribute) name (uadapy.Distribution attribute) (uadapy.distribution.Distribution attribute)

P

pdf() (uadapy.Distribution method) (uadapy.distribution.Distribution method) (uadapy.distributions.DiracDelta method) (uadapy.distributions.IndependentJoint method) (uadapy.distributions.multivariate_gmm.MultivariateGMM method) (uadapy.distributions.MultivariateGMM method) (uadapy.TimeSeries method) (uadapy.timeseries.TimeSeries method) perform_projection() (in module uadapy.dr.uamds) plot_1d_distribution() (in module uadapy.plotting.plots_1d) plot_contour() (in module uadapy.plotting.plots_2d) (in module uadapy.plotting.plots_nd) plot_contour_bands() (in module uadapy.plotting.plots_2d) plot_contour_samples() (in module uadapy.plotting.plots_nd)

plot_corr_length() (in module uadapy.plotting.plots_timeseries) plot_correlated_corr_length() (in module uadapy.plotting.plots_timeseries) plot_correlated_timeseries() (in module uadapy.plotting.plots_timeseries) plot_correlation_matrix() (in module uadapy.plotting.plots_timeseries) plot_matrix_share_axes() (in module uadapy.plotting.plots_nd) plot_samples() (in module uadapy.plotting.plots_2d) (in module uadapy.plotting.plots_nd) plot_shepard_diagram() (in module uadapy.plotting.shepard_diagram) plot_stipples() (in module uadapy.plotting.stippling) plot_timeseries() (in module uadapy.plotting.plots_timeseries) points (uadapy.plotting.distribution_plot.InteractiveNormal attribute) precalculate_constants() (in module uadapy.dr.uamds) pseudo_covariance (uadapy.distributions.chi_square_comb.ChiSquareComb attribute) (uadapy.distributions.ChiSquareComb attribute)

R

resample() (uadapy.distributions.chi_square_comb.ChiSquareComb method) (uadapy.distributions.ChiSquareComb method)

S

sample() (uadapy.CorrelatedDistributions method) (uadapy.Distribution method) (uadapy.distribution.Distribution method) (uadapy.distributions.DiracDelta method) (uadapy.distributions.IndependentJoint method) (uadapy.distributions.multivariate_gmm.MultivariateGMM method) (uadapy.distributions.MultivariateGMM method) (uadapy.TimeSeries method) (uadapy.timeseries.CorrelatedDistributions method) (uadapy.timeseries.TimeSeries method)

skew() (uadapy.Distribution method) (uadapy.distribution.Distribution method) stress() (in module uadapy.dr.uamds)

T

TimeSeries (class in uadapy) (class in uadapy.timeseries) timesteps (uadapy.TimeSeries attribute) (uadapy.timeseries.TimeSeries attribute)

tol (uadapy.distributions.DiracDelta attribute) transform_uapca() (in module uadapy.dr.uapca) transform_wgmm_uapca() (in module uadapy.dr.wgmm_uapca)

U

uadapy module uadapy.data module uadapy.data.data module uadapy.distribution module uadapy.distributions module uadapy.distributions.chi_square_comb module uadapy.distributions.multivariate_gmm module uadapy.dr module uadapy.dr.uamds module uadapy.dr.uapca module uadapy.dr.uapca_revisited module uadapy.dr.vipurpca module uadapy.dr.wgmm_uapca module

uadapy.plotting module uadapy.plotting.distribution_plot module uadapy.plotting.plots_1d module uadapy.plotting.plots_2d module uadapy.plotting.plots_nd module uadapy.plotting.plots_timeseries module uadapy.plotting.shepard_diagram module uadapy.plotting.stippling module uadapy.plotting.utils module uadapy.timeseries module uamds() (in module uadapy.dr.uamds) uapca() (in module uadapy.dr.uapca) uapca_revisited() (in module uadapy.dr.uapca_revisited) update() (uadapy.plotting.distribution_plot.InteractiveNormal method)

V

var() (uadapy.distributions.DiracDelta method)

variance() (uadapy.TimeSeries method) (uadapy.timeseries.TimeSeries method)

W

weights_ (uadapy.distributions.multivariate_gmm.MultivariateGMM attribute) (uadapy.distributions.MultivariateGMM attribute)

wgmm_uapca() (in module uadapy.dr.wgmm_uapca)

X

x_label (uadapy.plotting.distribution_plot.InteractiveNormal attribute)

Y

y_label (uadapy.plotting.distribution_plot.InteractiveNormal attribute)