searchindex.js

Search.setIndex({"alltitles": {"(Fused) Gromov-Wasserstein Linear Dictionary Learning": [[48, null]], "0.1.10": [[124, "id41"]], "0.1.11": [[124, "id40"]], "0.1.3": [[124, "id44"]], "0.1.7": [[124, "id43"]], "0.1.9": [[124, "id42"]], "0.3": [[124, "id39"]], "0.3.1": [[124, "id38"]], "0.4": [[124, "id35"]], "0.5.0": [[124, "id32"]], "0.6.0": [[124, "id29"]], "0.7.0": [[124, "id27"]], "0.8.0": [[124, "id24"]], "0.8.1": [[124, "id21"]], "0.8.1.0": [[124, "id19"]], "0.8.2": [[124, "id16"]], "0.9.1": [[124, "id13"]], "0.9.2": [[124, "id10"]], "0.9.3": [[124, "id8"]], "0.9.4": [[124, "id5"]], "0.9.5": [[124, "id2"]], "0.9.6": [[124, "id1"]], "1D Unbalanced optimal transport": [[87, null]], "1D Wasserstein barycenter demo": [[14, null]], "1D Wasserstein barycenter demo for Unbalanced distributions": [[88, null]], "1D Wasserstein barycenter: exact LP vs entropic regularization": [[15, null]], "2D data example": [[78, "d-data-example"]], "2D examples of exact and entropic unbalanced optimal transport": [[93, null]], "2D free support Sinkhorn barycenters of distributions": [[20, null]], "2D free support Wasserstein barycenters of distributions": [[18, null]], "API and modules": [[0, null]], "Acknowledgements": [[123, "acknowledgements"]], "Acknowledgments": [[97, "acknowledgments"]], "Add node features": [[42, "add-node-features"], [51, "add-node-features"]], "Algorithm": [[72, "algorithm"]], "An example of convolutional barycenter (ot.bregman.convolutional_barycenter2d) computation": [[126, "an-example-of-convolutional-barycenter-ot-bregman-convolutional-barycenter2d-computation"]], "Anaconda installation with conda-forge": [[123, "anaconda-installation-with-conda-forge"]], "Animate trajectories of generated samples along iteration": [[7, "animate-trajectories-of-generated-samples-along-iteration"], [11, "animate-trajectories-of-generated-samples-along-iteration"]], "Animate trajectories of the barycenter along gradient descent": [[6, "animate-trajectories-of-the-barycenter-along-gradient-descent"]], "Animate trajectories of the gradient flow along iteration": [[6, "animate-trajectories-of-the-gradient-flow-along-iteration"]], "Animation of the regpath for UOT l2": [[92, "animation-of-the-regpath-for-uot-l2"]], "Animation of the regpath for semi-relaxed UOT l2": [[92, "animation-of-the-regpath-for-semi-relaxed-uot-l2"]], "Attribution": [[95, "attribution"]], "Barycenter computation": [[14, "barycenter-computation"], [41, "barycenter-computation"], [47, "barycenter-computation"], [88, "barycenter-computation"]], "Barycenter computation and plot": [[22, "barycenter-computation-and-plot"]], "Barycenter computation and visualization": [[16, "barycenter-computation-and-visualization"], [17, "barycenter-computation-and-visualization"]], "Barycenter of labeled graphs with FGW": [[41, null]], "Barycenters with fixed support": [[126, "barycenters-with-fixed-support"]], "Barycenters with free support": [[126, "barycenters-with-free-support"]], "Barycentric interpolation": [[14, "barycentric-interpolation"], [88, "barycentric-interpolation"]], "Breaking change": [[124, "breaking-change"]], "Classes": [[98, "classes"], [102, "classes"], [118, "classes"], [121, "classes"]], "Closed issues": [[124, "closed-issues"], [124, "id4"], [124, "id7"], [124, "id9"], [124, "id12"], [124, "id15"], [124, "id18"], [124, "id20"], [124, "id23"], [124, "id26"], [124, "id28"], [124, "id31"], [124, "id34"], [124, "id37"]], "Code of conduct": [[95, null]], "Community clustering with uniform and estimated weights": [[4, "community-clustering-with-uniform-and-estimated-weights"]], "Compare Barycenters in both methods": [[67, "compare-barycenters-in-both-methods"], [67, "id1"]], "Compare OT plans": [[59, "compare-ot-plans"]], "Compare the Euclidean Wasserstein distance with the Wasserstein distance on the  circle": [[82, "compare-the-euclidean-wasserstein-distance-with-the-wasserstein-distance-on-the-circle"]], "Compare the results with the Sinkhorn algorithm": [[70, "compare-the-results-with-the-sinkhorn-algorithm"]], "Compare with Sinkhorn": [[59, "compare-with-sinkhorn"]], "Compare with original distributions": [[67, "compare-with-original-distributions"]], "Comparing Computation Time": [[5, "comparing-computation-time"]], "Comparing all OT plans": [[78, "comparing-all-ot-plans"]], "Comparison of Fused Gromov-Wasserstein solvers": [[44, null]], "Computation times": [[12, null], [24, null], [35, null], [39, null], [53, null], [60, null], [71, null], [80, null], [85, null], [94, null], [125, null]], "Compute Bures-Wasserstein barycenters and plot them": [[21, "compute-bures-wasserstein-barycenters-and-plot-them"]], "Compute EMD": [[74, "compute-emd"]], "Compute EMD for the different losses": [[76, "compute-emd-for-the-different-losses"]], "Compute EWCA": [[63, "compute-ewca"]], "Compute FGW/GW": [[43, "compute-fgw-gw"]], "Compute Factored OT and exact OT solutions": [[56, "compute-factored-ot-and-exact-ot-solutions"]], "Compute Fisher Discriminant Analysis": [[65, "compute-fisher-discriminant-analysis"]], "Compute GW with scalable stochastic methods with any loss function": [[46, "compute-gw-with-scalable-stochastic-methods-with-any-loss-function"]], "Compute Gromov-Wasserstein plans and distance": [[46, "compute-gromov-wasserstein-plans-and-distance"]], "Compute Sinkhorn": [[74, "compute-sinkhorn"]], "Compute Sinkhorn for the different losses": [[76, "compute-sinkhorn-for-the-different-losses"]], "Compute Wasserstein Discriminant Analysis": [[65, "compute-wasserstein-discriminant-analysis"]], "Compute Weak OT and exact OT solutions": [[66, "compute-weak-ot-and-exact-ot-solutions"]], "Compute distance kernels, normalize them and then display": [[46, "compute-distance-kernels-normalize-them-and-then-display"]], "Compute entropic kl-regularized UOT with Sinkhorn and Translation Invariant Sinkhorn": [[89, "compute-entropic-kl-regularized-uot-with-sinkhorn-and-translation-invariant-sinkhorn"]], "Compute entropic kl-regularized UOT, kl- and l2-regularized UOT": [[93, "compute-entropic-kl-regularized-uot-kl-and-l2-regularized-uot"]], "Compute free support Wasserstein barycenter": [[18, "compute-free-support-wasserstein-barycenter"]], "Compute partial Gromov-Wasserstein plans and distance": [[91, "compute-partial-gromov-wasserstein-plans-and-distance"]], "Compute partial Wasserstein plans and distance": [[91, "compute-partial-wasserstein-plans-and-distance"]], "Compute semi-relaxed and fully relaxed regularization paths": [[92, "compute-semi-relaxed-and-fully-relaxed-regularization-paths"]], "Compute the Nystr\u00f6m approximation of the Gaussian kernel": [[59, "compute-the-nystrom-approximation-of-the-gaussian-kernel"]], "Compute the Sliced Wasserstein Barycenter": [[6, "compute-the-sliced-wasserstein-barycenter"]], "Compute the Transportation Matrix for the Dual Problem": [[70, "compute-the-transportation-matrix-for-the-dual-problem"]], "Compute the Transportation Matrix for the Semi-Dual Problem": [[70, "compute-the-transportation-matrix-for-the-semi-dual-problem"]], "Compute the quantized Fused Gromov-Wasserstein distance between samples using the wrapper": [[50, "compute-the-quantized-fused-gromov-wasserstein-distance-between-samples-using-the-wrapper"]], "Compute the quantized Gromov-Wasserstein distance using the wrapper": [[50, "compute-the-quantized-gromov-wasserstein-distance-using-the-wrapper"]], "Compute their Fused Gromov-Wasserstein distances": [[44, "compute-their-fused-gromov-wasserstein-distances"]], "Compute their entropic-regularized semi-relaxed Gromov-Wasserstein divergences": [[42, "compute-their-entropic-regularized-semi-relaxed-gromov-wasserstein-divergences"]], "Compute their quantized Gromov-Wasserstein distance without using the wrapper": [[50, "compute-their-quantized-gromov-wasserstein-distance-without-using-the-wrapper"]], "Compute their semi-relaxed Fused Gromov-Wasserstein divergences": [[42, "compute-their-semi-relaxed-fused-gromov-wasserstein-divergences"], [51, "compute-their-semi-relaxed-fused-gromov-wasserstein-divergences"]], "Compute their semi-relaxed Gromov-Wasserstein divergences": [[51, "compute-their-semi-relaxed-gromov-wasserstein-divergences"]], "Computing 1-dimensional Barycenters via d-MMOT": [[67, null]], "Computing Wasserstein distance": [[126, "computing-wasserstein-distance"]], "Computing the Cost Matrices": [[5, "computing-the-cost-matrices"]], "Contents": [[123, "contents"]], "Continuous OT plan estimation with Pytorch": [[8, null]], "Contributing to POT": [[96, null]], "Contributions and code of conduct": [[123, "contributions-and-code-of-conduct"]], "Contributors": [[97, null], [97, "contributors"]], "Convert data to torch tensors": [[3, "convert-data-to-torch-tensors"], [8, "convert-data-to-torch-tensors"]], "Convolutional Wasserstein Barycenter example": [[16, null]], "Cost matrix": [[72, "cost-matrix"]], "Create structure matrices and across-feature distance matrix": [[43, "create-structure-matrices-and-across-feature-distance-matrix"]], "Creators and Maintainers": [[97, "creators-and-maintainers"]], "Data for logo": [[68, "data-for-logo"]], "Data generation": [[3, "data-generation"], [7, "data-generation"], [8, "data-generation"], [11, "data-generation"]], "Data preparation": [[16, "data-preparation"], [47, "data-preparation"]], "Dataset 1 : Plot OT Matrices": [[75, "dataset-1-plot-ot-matrices"]], "Dataset 1 : uniform sampling": [[75, "dataset-1-uniform-sampling"]], "Dataset 2 : Partial circle": [[75, "dataset-2-partial-circle"]], "Dataset 2 : Plot  OT Matrices": [[75, "dataset-2-plot-ot-matrices"]], "Debiased Sinkhorn barycenter demo": [[17, null]], "Debiased barycenter of 1D Gaussians": [[17, "debiased-barycenter-of-1d-gaussians"]], "Debiased barycenter of 2D images": [[17, "debiased-barycenter-of-2d-images"]], "Define Gaussian Covariances and distributions": [[21, "define-gaussian-covariances-and-distributions"]], "Define Group lasso regularization and gradient": [[79, "define-group-lasso-regularization-and-gradient"]], "Dependencies": [[123, "dependencies"]], "Dependency": [[100, null]], "Deprecation": [[124, "deprecation"]], "Detecting outliers by learning sample marginal distribution with CO-Optimal Transport and by using unbalanced Co-Optimal Transport": [[69, null]], "Different gradient computations for regularized optimal transport": [[2, null]], "Differentiable OT with PyTorch": [[1, null], [54, "differentiable-ot-with-pytorch"]], "Dirac Data": [[15, "dirac-data"]], "Discrete case": [[70, "discrete-case"]], "Documentation": [[96, "documentation"]], "Domain adaptation classes": [[126, "domain-adaptation-classes"]], "Domain adaptation for pixel distribution transfer": [[33, "domain-adaptation-for-pixel-distribution-transfer"]], "Domain adaptation with OT": [[25, null], [54, "domain-adaptation-with-ot"]], "Dual OT solvers for entropic and quadratic regularized OT with Pytorch": [[3, null]], "Empirical Sinkhorn": [[74, "empirical-sinkhorn"]], "Endow the dataset with node features": [[48, "endow-the-dataset-with-node-features"], [52, "endow-the-dataset-with-node-features"]], "Enforcement": [[95, "enforcement"]], "Entropic Gromov-Wasserstein": [[57, "entropic-gromov-wasserstein"]], "Entropic OT with Sinkhorn algorithm": [[78, "entropic-ot-with-sinkhorn-algorithm"]], "Entropic Wasserstein Component Analysis": [[63, null]], "Entropic regularized OT": [[126, "entropic-regularized-ot"]], "Entropic-regularized semi-relaxed (Fused) Gromov-Wasserstein example": [[42, null]], "Estimate a Fused Gromov-Wasserstein dictionary from the dataset of attributed graphs": [[48, "estimate-a-fused-gromov-wasserstein-dictionary-from-the-dataset-of-attributed-graphs"]], "Estimate linear mapping and transport": [[31, "estimate-linear-mapping-and-transport"]], "Estimate mapping and adapt": [[31, "estimate-mapping-and-adapt"]], "Estimate the Gromov-Wasserstein dictionary from the dataset": [[48, "estimate-the-gromov-wasserstein-dictionary-from-the-dataset"]], "Estimate the srFGW barycenter from the attributed graphs and visualize embeddings": [[52, "estimate-the-srfgw-barycenter-from-the-attributed-graphs-and-visualize-embeddings"]], "Estimate the srGW barycenter from the dataset and visualize embeddings": [[52, "estimate-the-srgw-barycenter-from-the-dataset-and-visualize-embeddings"]], "Estimated weights and convergence of the objective": [[9, "estimated-weights-and-convergence-of-the-objective"]], "Estimating deep dual variables for entropic OT": [[8, "estimating-deep-dual-variables-for-entropic-ot"]], "Estimating dual variables for entropic OT": [[3, "estimating-dual-variables-for-entropic-ot"]], "Estimating dual variables for quadratic OT": [[3, "estimating-dual-variables-for-quadratic-ot"]], "Examples": [[123, "examples"]], "Examples and Notebooks": [[123, "examples-and-notebooks"]], "Examples gallery": [[54, null]], "Examples of GW, regularized G and FGW barycenters": [[126, "examples-of-gw-regularized-g-and-fgw-barycenters"]], "Examples of Partial OT": [[126, "examples-of-partial-ot"]], "Examples of Unbalanced OT": [[126, "examples-of-unbalanced-ot"]], "Examples of Unbalanced OT barycenters": [[126, "examples-of-unbalanced-ot-barycenters"]], "Examples of Wasserstein and regularized Wasserstein barycenters": [[126, "examples-of-wasserstein-and-regularized-wasserstein-barycenters"]], "Examples of computation of GW, regularized G and FGW": [[126, "examples-of-computation-of-gw-regularized-g-and-fgw"]], "Examples of free support barycenter estimation": [[126, "examples-of-free-support-barycenter-estimation"]], "Examples of group Lasso regularization": [[126, "examples-of-group-lasso-regularization"]], "Examples of the generic solvers": [[126, "examples-of-the-generic-solvers"]], "Examples of the use of OTDA classes": [[126, "examples-of-the-use-of-otda-classes"]], "Examples of the use of WDA": [[126, "examples-of-the-use-of-wda"]], "Examples of use for Sinkhorn algorithm": [[126, "examples-of-use-for-sinkhorn-algorithm"]], "Examples of use for ot.emd": [[126, "examples-of-use-for-ot-emd"]], "Examples of use for ot.emd2": [[126, "examples-of-use-for-ot-emd2"]], "Examples of use of quadratic regularization": [[126, "examples-of-use-of-quadratic-regularization"]], "Examples using ot.coot.co_optimal_transport": [[101, "examples-using-ot-coot-co-optimal-transport"]], "Examples using ot.coot.co_optimal_transport2": [[101, "examples-using-ot-coot-co-optimal-transport2"]], "Examples using ot.da.BaseTransport": [[102, "examples-using-ot-da-basetransport"]], "Examples using ot.da.EMDLaplaceTransport": [[102, "examples-using-ot-da-emdlaplacetransport"]], "Examples using ot.da.EMDTransport": [[102, "examples-using-ot-da-emdtransport"]], "Examples using ot.da.JCPOTTransport": [[102, "examples-using-ot-da-jcpottransport"]], "Examples using ot.da.LinearGWTransport": [[102, "examples-using-ot-da-lineargwtransport"]], "Examples using ot.da.LinearTransport": [[102, "examples-using-ot-da-lineartransport"]], "Examples using ot.da.MappingTransport": [[102, "examples-using-ot-da-mappingtransport"]], "Examples using ot.da.SinkhornL1l2Transport": [[102, "examples-using-ot-da-sinkhornl1l2transport"]], "Examples using ot.da.SinkhornLpl1Transport": [[102, "examples-using-ot-da-sinkhornlpl1transport"]], "Examples using ot.da.SinkhornTransport": [[102, "examples-using-ot-da-sinkhorntransport"]], "Examples using ot.datasets.make_1D_gauss": [[103, "examples-using-ot-datasets-make-1d-gauss"]], "Examples using ot.datasets.make_2D_samples_gauss": [[103, "examples-using-ot-datasets-make-2d-samples-gauss"]], "Examples using ot.datasets.make_data_classif": [[103, "examples-using-ot-datasets-make-data-classif"]], "Examples using ot.dr.ewca": [[104, "examples-using-ot-dr-ewca"]], "Examples using ot.dr.fda": [[104, "examples-using-ot-dr-fda"]], "Examples using ot.dr.wda": [[104, "examples-using-ot-dr-wda"]], "Examples using ot.gaussian.bures_wasserstein_barycenter": [[106, "examples-using-ot-gaussian-bures-wasserstein-barycenter"]], "Examples using ot.gaussian.empirical_bures_wasserstein_distance": [[106, "examples-using-ot-gaussian-empirical-bures-wasserstein-distance"]], "Examples using ot.gaussian.empirical_bures_wasserstein_mapping": [[106, "examples-using-ot-gaussian-empirical-bures-wasserstein-mapping"]], "Examples using ot.gaussian.empirical_gaussian_gromov_wasserstein_mapping": [[106, "examples-using-ot-gaussian-empirical-gaussian-gromov-wasserstein-mapping"]], "Examples using ot.gmm.gmm_barycenter_fixed_point": [[107, "examples-using-ot-gmm-gmm-barycenter-fixed-point"]], "Examples using ot.gmm.gmm_ot_apply_map": [[107, "examples-using-ot-gmm-gmm-ot-apply-map"]], "Examples using ot.gmm.gmm_ot_loss": [[107, "examples-using-ot-gmm-gmm-ot-loss"]], "Examples using ot.gmm.gmm_ot_plan_density": [[107, "examples-using-ot-gmm-gmm-ot-plan-density"]], "Examples using ot.gmm.gmm_pdf": [[107, "examples-using-ot-gmm-gmm-pdf"]], "Examples using ot.lowrank.kernel_nystroem": [[110, "examples-using-ot-lowrank-kernel-nystroem"]], "Examples using ot.lowrank.sinkhorn_low_rank_kernel": [[110, "examples-using-ot-lowrank-sinkhorn-low-rank-kernel"]], "Examples using ot.mapping.nearest_brenier_potential_fit": [[112, "examples-using-ot-mapping-nearest-brenier-potential-fit"]], "Examples using ot.mapping.nearest_brenier_potential_predict_bounds": [[112, "examples-using-ot-mapping-nearest-brenier-potential-predict-bounds"]], "Examples using ot.optim.cg": [[113, "examples-using-ot-optim-cg"]], "Examples using ot.optim.gcg": [[113, "examples-using-ot-optim-gcg"]], "Examples using ot.plot.plot1D_mat": [[115, "examples-using-ot-plot-plot1d-mat"]], "Examples using ot.plot.plot2D_samples_mat": [[115, "examples-using-ot-plot-plot2d-samples-mat"]], "Examples using ot.plot.rescale_for_imshow_plot": [[115, "examples-using-ot-plot-rescale-for-imshow-plot"]], "Examples using ot.regpath.compute_transport_plan": [[116, "examples-using-ot-regpath-compute-transport-plan"]], "Examples using ot.regpath.regularization_path": [[116, "examples-using-ot-regpath-regularization-path"]], "Examples using ot.smooth.smooth_ot_dual": [[118, "examples-using-ot-smooth-smooth-ot-dual"]], "Examples using ot.stochastic.loss_dual_entropic": [[119, "examples-using-ot-stochastic-loss-dual-entropic"]], "Examples using ot.stochastic.loss_dual_quadratic": [[119, "examples-using-ot-stochastic-loss-dual-quadratic"]], "Examples using ot.stochastic.plan_dual_entropic": [[119, "examples-using-ot-stochastic-plan-dual-entropic"]], "Examples using ot.stochastic.plan_dual_quadratic": [[119, "examples-using-ot-stochastic-plan-dual-quadratic"]], "Examples using ot.stochastic.solve_dual_entropic": [[119, "examples-using-ot-stochastic-solve-dual-entropic"]], "Examples using ot.stochastic.solve_semi_dual_entropic": [[119, "examples-using-ot-stochastic-solve-semi-dual-entropic"]], "Examples using ot.utils.BaseEstimator": [[121, "examples-using-ot-utils-baseestimator"]], "Examples using ot.utils.LazyTensor": [[121, "examples-using-ot-utils-lazytensor"]], "Examples using ot.utils.OTResult": [[121, "examples-using-ot-utils-otresult"]], "Examples using ot.utils.dist0": [[121, "examples-using-ot-utils-dist0"]], "Examples using ot.utils.proj_SDP": [[121, "examples-using-ot-utils-proj-sdp"]], "Examples using ot.utils.proj_simplex": [[121, "examples-using-ot-utils-proj-simplex"]], "Exceptions": [[121, "exceptions"]], "FAQ": [[126, "faq"]], "Factored an Low-Rank OT": [[54, "factored-an-low-rank-ot"], [55, null]], "Factored and Low rank OT": [[78, "factored-and-low-rank-ot"]], "Features": [[124, "features"], [124, "id30"], [124, "id33"], [124, "id36"]], "Fig 1 : plots source and target samples": [[26, "fig-1-plots-source-and-target-samples"], [29, "fig-1-plots-source-and-target-samples"], [30, "fig-1-plots-source-and-target-samples"]], "Fig 1 : plots source and target samples + matrix of pairwise distance": [[28, "fig-1-plots-source-and-target-samples-matrix-of-pairwise-distance"], [34, "fig-1-plots-source-and-target-samples-matrix-of-pairwise-distance"]], "Fig 2 : plot optimal couplings and transported samples": [[26, "fig-2-plot-optimal-couplings-and-transported-samples"], [29, "fig-2-plot-optimal-couplings-and-transported-samples"], [30, "fig-2-plot-optimal-couplings-and-transported-samples"]], "Fig 2 : plots optimal couplings for the different methods": [[28, "fig-2-plots-optimal-couplings-for-the-different-methods"], [34, "fig-2-plots-optimal-couplings-for-the-different-methods"]], "Fig 3 : plot transported samples": [[28, "fig-3-plot-transported-samples"], [34, "fig-3-plot-transported-samples"]], "Filing bugs": [[96, "filing-bugs"]], "Final figure": [[15, "final-figure"]], "First OT Problem": [[72, "first-ot-problem"]], "First pre-release": [[124, "first-pre-release"]], "Functions": [[98, "functions"], [101, "functions"], [102, "functions"], [103, "functions"], [104, "functions"], [105, "functions"], [106, "functions"], [107, "functions"], [110, "functions"], [112, "functions"], [113, "functions"], [115, "functions"], [116, "functions"], [117, "functions"], [118, "functions"], [119, "functions"], [121, "functions"], [122, "functions"]], "Fused Gromov-Wasserstein": [[78, "fused-gromov-wasserstein"]], "GPU acceleration": [[126, "gpu-acceleration"]], "Gaussian Bures-Wasserstein barycenters": [[21, null]], "Gaussian Data": [[15, "gaussian-data"]], "Gaussian Mixture Model OT Barycenters": [[23, null]], "Gaussian OT with Bures-Wasserstein": [[78, "gaussian-ot-with-bures-wasserstein"]], "General Parameters": [[20, "general-parameters"]], "Generalized Wasserstein Barycenter Demo": [[22, null]], "Generate Data": [[20, "generate-data"]], "Generate GMMOT maps and plot them over plan": [[37, "generate-gmmot-maps-and-plot-them-over-plan"]], "Generate GMMOT plan plot it": [[37, "generate-gmmot-plan-plot-it"]], "Generate a dataset composed of graphs following Stochastic Block models of 1, 2 and 3 clusters.": [[48, "generate-a-dataset-composed-of-graphs-following-stochastic-block-models-of-1-2-and-3-clusters"], [52, "generate-a-dataset-composed-of-graphs-following-stochastic-block-models-of-1-2-and-3-clusters"]], "Generate and plot data": [[22, "generate-and-plot-data"]], "Generate and visualize data": [[11, "generate-and-visualize-data"], [49, "generate-and-visualize-data"]], "Generate attributed point clouds": [[50, "generate-attributed-point-clouds"]], "Generate data": [[9, "generate-data"], [14, "generate-data"], [18, "generate-data"], [26, "generate-data"], [27, "generate-data"], [28, "generate-data"], [29, "generate-data"], [30, "generate-data"], [31, "generate-data"], [32, "generate-data"], [33, "generate-data"], [34, "generate-data"], [41, "generate-data"], [43, "generate-data"], [45, "generate-data"], [57, "generate-data"], [58, "generate-data"], [59, "generate-data"], [63, "generate-data"], [65, "generate-data"], 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false]], "entropic_fused_gromov_wasserstein2() (in module ot.gromov)": [[109, "ot.gromov.entropic_fused_gromov_wasserstein2", false]], "entropic_gromov_barycenters() (in module ot.gromov)": [[109, "ot.gromov.entropic_gromov_barycenters", false]], "entropic_gromov_wasserstein() (in module ot.gromov)": [[109, "ot.gromov.entropic_gromov_wasserstein", false]], "entropic_gromov_wasserstein2() (in module ot.gromov)": [[109, "ot.gromov.entropic_gromov_wasserstein2", false]], "entropic_partial_fused_gromov_wasserstein() (in module ot.gromov)": [[109, "ot.gromov.entropic_partial_fused_gromov_wasserstein", false]], "entropic_partial_fused_gromov_wasserstein2() (in module ot.gromov)": [[109, "ot.gromov.entropic_partial_fused_gromov_wasserstein2", false]], "entropic_partial_gromov_wasserstein() (in module ot.gromov)": [[109, "ot.gromov.entropic_partial_gromov_wasserstein", false]], "entropic_partial_gromov_wasserstein() (in module ot.partial)": [[114, 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false]], "entropy_batch() (in module ot.batch)": [[99, "ot.batch.entropy_batch", false]], "euclidean_distances() (in module ot.utils)": [[121, "id56", false], [121, "ot.utils.euclidean_distances", false]], "ewca() (in module ot.dr)": [[104, "id4", false], [104, "ot.dr.ewca", false]], "exp() (ot.backend.backend method)": [[98, "id26", false], [98, "ot.backend.Backend.exp", false]], "exp() (ot.backend.cupybackend method)": [[98, "id114", false], [98, "ot.backend.CupyBackend.exp", false]], "exp() (ot.backend.jaxbackend method)": [[98, "id199", false], [98, "ot.backend.JaxBackend.exp", false]], "exp() (ot.backend.numpybackend method)": [[98, "id285", false], [98, "ot.backend.NumpyBackend.exp", false]], "exp() (ot.backend.tensorflowbackend method)": [[98, "id371", false], [98, "ot.backend.TensorflowBackend.exp", false]], "exp() (ot.backend.torchbackend method)": [[98, "id457", false], [98, "ot.backend.TorchBackend.exp", false]], "exp_bures() (in module ot.utils)": [[121, "id57", false], 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"fgw_barycenters() (in module ot.gromov)": [[109, "ot.gromov.fgw_barycenters", false]], "fgw_distance_to_templates() (in module ot.gnn)": [[108, "ot.gnn.FGW_distance_to_templates", false]], "fit() (ot.da.basetransport method)": [[102, "id38", false], [102, "ot.da.BaseTransport.fit", false]], "fit() (ot.da.emdlaplacetransport method)": [[102, "id52", false], [102, "ot.da.EMDLaplaceTransport.fit", false]], "fit() (ot.da.emdtransport method)": [[102, "id58", false], [102, "ot.da.EMDTransport.fit", false]], "fit() (ot.da.jcpottransport method)": [[102, "id66", false], [102, "ot.da.JCPOTTransport.fit", false]], "fit() (ot.da.lineargwtransport method)": [[102, "id75", false], [102, "ot.da.LinearGWTransport.fit", false]], "fit() (ot.da.lineartransport method)": [[102, "id80", false], [102, "ot.da.LinearTransport.fit", false]], "fit() (ot.da.mappingtransport method)": [[102, "id88", false], [102, "ot.da.MappingTransport.fit", false]], "fit() (ot.da.nearestbrenierpotential method)": [[102, "id93", false], [102, "ot.da.NearestBrenierPotential.fit", false]], "fit() (ot.da.sinkhornl1l2transport method)": [[102, "id105", false], [102, "ot.da.SinkhornL1l2Transport.fit", false]], "fit() (ot.da.sinkhornlpl1transport method)": [[102, "id112", false], [102, "ot.da.SinkhornLpl1Transport.fit", false]], "fit() (ot.da.sinkhorntransport method)": [[102, "id122", false], [102, "ot.da.SinkhornTransport.fit", false]], "fit() (ot.da.unbalancedsinkhorntransport method)": [[102, "id131", false], [102, "ot.da.UnbalancedSinkhornTransport.fit", false]], "fit_transform() (ot.da.basetransport method)": [[102, "id39", false], [102, "ot.da.BaseTransport.fit_transform", false]], "flip() (ot.backend.backend method)": [[98, "id28", false], [98, "ot.backend.Backend.flip", false]], "flip() (ot.backend.cupybackend method)": [[98, "id116", false], [98, "ot.backend.CupyBackend.flip", false]], "flip() (ot.backend.jaxbackend method)": [[98, "id201", false], [98, "ot.backend.JaxBackend.flip", false]], "flip() (ot.backend.numpybackend method)": [[98, "id287", false], [98, "ot.backend.NumpyBackend.flip", false]], "flip() (ot.backend.tensorflowbackend method)": [[98, "id373", false], [98, "ot.backend.TensorflowBackend.flip", false]], "flip() (ot.backend.torchbackend method)": [[98, "id459", false], [98, "ot.backend.TorchBackend.flip", false]], "floor() (ot.backend.backend method)": [[98, "id29", false], [98, "ot.backend.Backend.floor", false]], "floor() (ot.backend.cupybackend method)": [[98, "id117", false], [98, "ot.backend.CupyBackend.floor", false]], "floor() (ot.backend.jaxbackend method)": [[98, "id202", false], [98, "ot.backend.JaxBackend.floor", false]], "floor() (ot.backend.numpybackend method)": [[98, "id288", false], [98, "ot.backend.NumpyBackend.floor", false]], "floor() (ot.backend.tensorflowbackend method)": [[98, "id374", false], [98, "ot.backend.TensorflowBackend.floor", false]], "floor() (ot.backend.torchbackend method)": [[98, "id460", false], [98, 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(ot.backend.cupybackend method)": [[98, "id118", false], [98, "ot.backend.CupyBackend.full", false]], "full() (ot.backend.jaxbackend method)": [[98, "id203", false], [98, "ot.backend.JaxBackend.full", false]], "full() (ot.backend.numpybackend method)": [[98, "id289", false], [98, "ot.backend.NumpyBackend.full", false]], "full() (ot.backend.tensorflowbackend method)": [[98, "id375", false], [98, "ot.backend.TensorflowBackend.full", false]], "full() (ot.backend.torchbackend method)": [[98, "id461", false], [98, "ot.backend.TorchBackend.full", false]], "fully_relaxed_path() (in module ot.regpath)": [[116, "id19", false], [116, "ot.regpath.fully_relaxed_path", false]], "fun_to_numpy() (in module ot.utils)": [[121, "id58", false], [121, "ot.utils.fun_to_numpy", false]], "fused_gromov_wasserstein() (in module ot)": [[0, "ot.fused_gromov_wasserstein", false]], "fused_gromov_wasserstein() (in module ot.gromov)": [[109, "ot.gromov.fused_gromov_wasserstein", false]], "fused_gromov_wasserstein2() 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"gaussian_gromov_wasserstein_distance() (in module ot.gaussian)": [[106, "id59", false], [106, "ot.gaussian.gaussian_gromov_wasserstein_distance", false]], "gaussian_gromov_wasserstein_mapping() (in module ot.gaussian)": [[106, "id62", false], [106, "ot.gaussian.gaussian_gromov_wasserstein_mapping", false]], "gaussian_logpdf() (in module ot.gmm)": [[107, "id9", false], [107, "ot.gmm.gaussian_logpdf", false]], "gaussian_pdf() (in module ot.gmm)": [[107, "id10", false], [107, "ot.gmm.gaussian_pdf", false]], "gcg() (in module ot.optim)": [[113, "id22", false], [113, "ot.optim.gcg", false]], "generalized_free_support_barycenter() (in module ot.lp)": [[111, "ot.lp.generalized_free_support_barycenter", false]], "generic_conditional_gradient() (in module ot.optim)": [[113, "id26", false], [113, "ot.optim.generic_conditional_gradient", false]], "geometricbar() (in module ot.bregman)": [[100, "ot.bregman.geometricBar", false]], "geometricmean() (in module ot.bregman)": [[100, 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(ot.utils.baseestimator method)": [[121, "id14", false], [121, "ot.utils.BaseEstimator.get_params", false]], "get_partition_and_representants_samples() (in module ot.gromov)": [[109, "ot.gromov.get_partition_and_representants_samples", false]], "get_plan_from_dual() (in module ot.smooth)": [[118, "id23", false], [118, "ot.smooth.get_plan_from_dual", false]], "get_plan_from_semi_dual() (in module ot.smooth)": [[118, "id24", false], [118, "ot.smooth.get_plan_from_semi_dual", false]], "get_projections_sphere() (in module ot.sliced)": [[117, "id0", false], [117, "ot.sliced.get_projections_sphere", false]], "get_random_projections() (in module ot.sliced)": [[117, "id6", false], [117, "ot.sliced.get_random_projections", false]], "gmm_barycenter_fixed_point() (in module ot.gmm)": [[107, "id11", false], [107, "ot.gmm.gmm_barycenter_fixed_point", false]], "gmm_ot_apply_map() (in module ot.gmm)": [[107, "id14", false], [107, "ot.gmm.gmm_ot_apply_map", false]], "gmm_ot_loss() (in module ot.gmm)": 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[[102, "module-ot.da", false]], "ot.datasets": [[103, "module-ot.datasets", false]], "ot.dr": [[104, "module-ot.dr", false]], "ot.factored": [[105, "module-ot.factored", false]], "ot.gaussian": [[106, "module-ot.gaussian", false]], "ot.gmm": [[107, "module-ot.gmm", false]], "ot.gnn": [[108, "module-ot.gnn", false]], "ot.gromov": [[109, "module-ot.gromov", false]], "ot.lowrank": [[110, "module-ot.lowrank", false]], "ot.lp": [[111, "module-ot.lp", false]], "ot.mapping": [[112, "module-ot.mapping", false]], "ot.optim": [[113, "module-ot.optim", false]], "ot.partial": [[114, "module-ot.partial", false]], "ot.plot": [[115, "module-ot.plot", false]], "ot.regpath": [[116, "module-ot.regpath", false]], "ot.sliced": [[117, "module-ot.sliced", false]], "ot.smooth": [[118, "module-ot.smooth", false]], "ot.stochastic": [[119, "module-ot.stochastic", false]], "ot.unbalanced": [[120, "module-ot.unbalanced", false]], "ot.utils": [[121, "module-ot.utils", false]], "ot.weak": [[122, "module-ot.weak", false]], "ot_barycenter_energy() (in module ot.lp)": [[111, "ot.lp.ot_barycenter_energy", false]], "ot_next_gamma() (in module ot.regpath)": [[116, "id21", false], [116, "ot.regpath.ot_next_gamma", false]], "otresult (class in ot.utils)": [[121, "id17", false], [121, "ot.utils.OTResult", false]], "outer() (ot.backend.backend method)": [[98, "id53", false], [98, "ot.backend.Backend.outer", false]], "outer() (ot.backend.cupybackend method)": [[98, "id140", false], [98, "ot.backend.CupyBackend.outer", false]], "outer() (ot.backend.jaxbackend method)": [[98, "id225", false], [98, "ot.backend.JaxBackend.outer", false]], "outer() (ot.backend.numpybackend method)": [[98, "id311", false], [98, "ot.backend.NumpyBackend.outer", false]], "outer() (ot.backend.tensorflowbackend method)": [[98, "id397", false], [98, "ot.backend.TensorflowBackend.outer", false]], "outer() (ot.backend.torchbackend method)": [[98, "id483", false], [98, "ot.backend.TorchBackend.outer", false]], "parmap() (in module ot.utils)": [[121, "id68", false], [121, "ot.utils.parmap", false]], "partial_cg() (in module ot.optim)": [[113, "id41", false], [113, "ot.optim.partial_cg", false]], "partial_fused_gromov_wasserstein() (in module ot.gromov)": [[109, "ot.gromov.partial_fused_gromov_wasserstein", false]], "partial_fused_gromov_wasserstein2() (in module ot.gromov)": [[109, "ot.gromov.partial_fused_gromov_wasserstein2", false]], "partial_gromov_wasserstein() (in module ot.gromov)": [[109, "ot.gromov.partial_gromov_wasserstein", false]], "partial_gromov_wasserstein() (in module ot.partial)": [[114, "ot.partial.partial_gromov_wasserstein", false]], "partial_gromov_wasserstein2() (in module ot.gromov)": [[109, "ot.gromov.partial_gromov_wasserstein2", false]], "partial_gromov_wasserstein2() (in module ot.partial)": [[114, "ot.partial.partial_gromov_wasserstein2", false]], "partial_wasserstein() (in module ot.partial)": [[114, "ot.partial.partial_wasserstein", false]], "partial_wasserstein2() (in module 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false]], "prod() (ot.backend.backend method)": [[98, "id56", false], [98, "ot.backend.Backend.prod", false]], "prod() (ot.backend.cupybackend method)": [[98, "id143", false], [98, "ot.backend.CupyBackend.prod", false]], "prod() (ot.backend.jaxbackend method)": [[98, "id228", false], [98, "ot.backend.JaxBackend.prod", false]], "prod() (ot.backend.numpybackend method)": [[98, "id314", false], [98, "ot.backend.NumpyBackend.prod", false]], "prod() (ot.backend.tensorflowbackend method)": [[98, "id400", false], [98, "ot.backend.TensorflowBackend.prod", false]], "prod() (ot.backend.torchbackend method)": [[98, "id486", false], [98, "ot.backend.TorchBackend.prod", false]], "proj_sdp() (in module ot.utils)": [[121, "id69", false], [121, "ot.utils.proj_SDP", false]], "proj_simplex() (in module ot.utils)": [[121, "id70", false], [121, "ot.utils.proj_simplex", false]], "projc() (in module ot.bregman)": [[100, "ot.bregman.projC", false]], "projection_robust_wasserstein() (in module ot.dr)": [[104, "id9", false], [104, "ot.dr.projection_robust_wasserstein", false]], "projection_simplex() (in module ot.smooth)": [[118, "id25", false], [118, "ot.smooth.projection_simplex", false]], "projection_sparse_simplex() (in module ot.utils)": [[121, "id71", false], [121, "ot.utils.projection_sparse_simplex", false]], "projection_sphere_to_circle() (in module ot.sliced)": [[117, "id12", false], [117, "ot.sliced.projection_sphere_to_circle", false]], "projr() (in module ot.bregman)": [[100, "ot.bregman.projR", false]], "proportions_ (ot.da.jcpottransport attribute)": [[102, "id61", false], [102, "ot.da.JCPOTTransport.proportions_", false]], "qr() (ot.backend.backend method)": [[98, "id57", false], [98, "ot.backend.Backend.qr", false]], "qr() (ot.backend.cupybackend method)": [[98, "id144", false], [98, "ot.backend.CupyBackend.qr", false]], "qr() (ot.backend.jaxbackend method)": [[98, "id229", false], [98, "ot.backend.JaxBackend.qr", false]], "qr() (ot.backend.numpybackend method)": [[98, "id315", false], [98, "ot.backend.NumpyBackend.qr", false]], "qr() (ot.backend.tensorflowbackend method)": [[98, "id401", false], [98, "ot.backend.TensorflowBackend.qr", false]], "qr() (ot.backend.torchbackend method)": [[98, "id487", false], [98, "ot.backend.TorchBackend.qr", false]], "quantized_fused_gromov_wasserstein() (in module ot.gromov)": [[109, "ot.gromov.quantized_fused_gromov_wasserstein", false]], "quantized_fused_gromov_wasserstein_partitioned() (in module ot.gromov)": [[109, "ot.gromov.quantized_fused_gromov_wasserstein_partitioned", false]], "quantized_fused_gromov_wasserstein_samples() (in module ot.gromov)": [[109, "ot.gromov.quantized_fused_gromov_wasserstein_samples", false]], "rand() (ot.backend.backend method)": [[98, "id58", false], [98, "ot.backend.Backend.rand", false]], "rand() (ot.backend.cupybackend method)": [[98, "id145", false], [98, "ot.backend.CupyBackend.rand", false]], "rand() (ot.backend.jaxbackend method)": [[98, "id230", false], [98, 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"id489", false], [98, "ot.backend.TorchBackend.randn", false]], "randperm() (ot.backend.backend method)": [[98, "id60", false], [98, "ot.backend.Backend.randperm", false]], "randperm() (ot.backend.cupybackend method)": [[98, "id147", false], [98, "ot.backend.CupyBackend.randperm", false]], "randperm() (ot.backend.jaxbackend method)": [[98, "id232", false], [98, "ot.backend.JaxBackend.randperm", false]], "randperm() (ot.backend.numpybackend method)": [[98, "id318", false], [98, "ot.backend.NumpyBackend.randperm", false]], "randperm() (ot.backend.tensorflowbackend method)": [[98, "id404", false], [98, "ot.backend.TensorflowBackend.randperm", false]], "randperm() (ot.backend.torchbackend method)": [[98, "id490", false], [98, "ot.backend.TorchBackend.randperm", false]], "recast_ot_as_lasso() (in module ot.regpath)": [[116, "id23", false], [116, "ot.regpath.recast_ot_as_lasso", false]], "recast_semi_relaxed_as_lasso() (in module ot.regpath)": [[116, "id25", false], [116, "ot.regpath.recast_semi_relaxed_as_lasso", false]], "reduce_lazytensor() (in module ot.utils)": [[121, "id73", false], [121, "ot.utils.reduce_lazytensor", false]], "regularization (class in ot.smooth)": [[118, "id10", false], [118, "ot.smooth.Regularization", false]], "regularization_path() (in module ot.regpath)": [[116, "id26", false], [116, "ot.regpath.regularization_path", false]], "repeat() (ot.backend.backend method)": [[98, "id61", false], [98, "ot.backend.Backend.repeat", false]], "repeat() (ot.backend.cupybackend method)": [[98, "id148", false], [98, "ot.backend.CupyBackend.repeat", false]], "repeat() (ot.backend.jaxbackend method)": [[98, "id233", false], [98, "ot.backend.JaxBackend.repeat", false]], "repeat() (ot.backend.numpybackend method)": [[98, "id319", false], [98, "ot.backend.NumpyBackend.repeat", false]], "repeat() (ot.backend.tensorflowbackend method)": [[98, "id405", false], [98, "ot.backend.TensorflowBackend.repeat", false]], "repeat() (ot.backend.torchbackend method)": [[98, "id491", false], [98, "ot.backend.TorchBackend.repeat", false]], "rescale_for_imshow_plot() (in module ot.plot)": [[115, "id2", false], [115, "ot.plot.rescale_for_imshow_plot", false]], "reshape() (ot.backend.backend method)": [[98, "id62", false], [98, "ot.backend.Backend.reshape", false]], "reshape() (ot.backend.cupybackend method)": [[98, "id149", false], [98, "ot.backend.CupyBackend.reshape", false]], "reshape() (ot.backend.jaxbackend method)": [[98, "id234", false], [98, "ot.backend.JaxBackend.reshape", false]], "reshape() (ot.backend.numpybackend method)": [[98, "id320", false], [98, "ot.backend.NumpyBackend.reshape", false]], "reshape() (ot.backend.tensorflowbackend method)": [[98, "id406", false], [98, "ot.backend.TensorflowBackend.reshape", false]], "reshape() (ot.backend.torchbackend method)": [[98, "id492", false], [98, "ot.backend.TorchBackend.reshape", false]], "sag_entropic_transport() (in module ot.stochastic)": [[119, "id32", false], [119, "ot.stochastic.sag_entropic_transport", false]], "sampled_gromov_wasserstein() (in module ot.gromov)": [[109, "ot.gromov.sampled_gromov_wasserstein", false]], "screenkhorn() (in module ot.bregman)": [[100, "ot.bregman.screenkhorn", false]], "searchsorted() (ot.backend.backend method)": [[98, "id63", false], [98, "ot.backend.Backend.searchsorted", false]], "searchsorted() (ot.backend.cupybackend method)": [[98, "id150", false], [98, "ot.backend.CupyBackend.searchsorted", false]], "searchsorted() (ot.backend.jaxbackend method)": [[98, "id235", false], [98, "ot.backend.JaxBackend.searchsorted", false]], "searchsorted() (ot.backend.numpybackend method)": [[98, "id321", false], [98, "ot.backend.NumpyBackend.searchsorted", false]], "searchsorted() (ot.backend.tensorflowbackend method)": [[98, "id407", false], [98, "ot.backend.TensorflowBackend.searchsorted", false]], "searchsorted() (ot.backend.torchbackend method)": [[98, "id493", false], [98, "ot.backend.TorchBackend.searchsorted", false]], "seed() (ot.backend.backend method)": [[98, "id64", false], [98, "ot.backend.Backend.seed", false]], "seed() (ot.backend.cupybackend method)": [[98, "id151", false], [98, "ot.backend.CupyBackend.seed", false]], "seed() (ot.backend.jaxbackend method)": [[98, "id236", false], [98, "ot.backend.JaxBackend.seed", false]], "seed() (ot.backend.numpybackend method)": [[98, "id322", false], [98, "ot.backend.NumpyBackend.seed", false]], "seed() (ot.backend.tensorflowbackend method)": [[98, "id408", false], [98, "ot.backend.TensorflowBackend.seed", false]], "seed() (ot.backend.torchbackend method)": [[98, "id494", false], [98, "ot.backend.TorchBackend.seed", false]], "semi_dual_obj_grad() (in module ot.smooth)": [[118, "id26", false], [118, "ot.smooth.semi_dual_obj_grad", false]], "semi_relaxed_next_gamma() (in module ot.regpath)": [[116, "id28", false], [116, "ot.regpath.semi_relaxed_next_gamma", false]], "semi_relaxed_path() (in module ot.regpath)": [[116, "id30", false], [116, "ot.regpath.semi_relaxed_path", false]], "semidiscrete_wasserstein2_unif_circle() (in module ot)": [[0, "ot.semidiscrete_wasserstein2_unif_circle", false]], "semidiscrete_wasserstein2_unif_circle() (in module ot.lp)": [[111, "ot.lp.semidiscrete_wasserstein2_unif_circle", false]], "semirelaxed_cg() (in module ot.optim)": [[113, "id44", false], [113, "ot.optim.semirelaxed_cg", false]], "semirelaxed_fgw_barycenters() (in module ot.gromov)": [[109, "ot.gromov.semirelaxed_fgw_barycenters", false]], "semirelaxed_fused_gromov_wasserstein() (in module ot.gromov)": [[109, "ot.gromov.semirelaxed_fused_gromov_wasserstein", false]], "semirelaxed_fused_gromov_wasserstein2() (in module ot.gromov)": [[109, "ot.gromov.semirelaxed_fused_gromov_wasserstein2", false]], "semirelaxed_gromov_barycenters() (in module ot.gromov)": [[109, "ot.gromov.semirelaxed_gromov_barycenters", false]], "semirelaxed_gromov_wasserstein() (in module ot.gromov)": [[109, "ot.gromov.semirelaxed_gromov_wasserstein", false]], "semirelaxed_gromov_wasserstein2() (in module ot.gromov)": [[109, "ot.gromov.semirelaxed_gromov_wasserstein2", false]], "semirelaxed_init_plan() (in module ot.gromov)": [[109, "ot.gromov.semirelaxed_init_plan", false]], "set_gradients() (ot.backend.backend method)": [[98, "id65", false], [98, "ot.backend.Backend.set_gradients", false]], "set_gradients() (ot.backend.cupybackend method)": [[98, "id152", false], [98, "ot.backend.CupyBackend.set_gradients", false]], "set_gradients() (ot.backend.jaxbackend method)": [[98, "id237", false], [98, "ot.backend.JaxBackend.set_gradients", false]], "set_gradients() (ot.backend.numpybackend method)": [[98, "id323", false], [98, "ot.backend.NumpyBackend.set_gradients", false]], "set_gradients() (ot.backend.tensorflowbackend method)": [[98, "id409", false], [98, "ot.backend.TensorflowBackend.set_gradients", false]], "set_gradients() (ot.backend.torchbackend method)": [[98, "id495", false], [98, "ot.backend.TorchBackend.set_gradients", false]], "set_params() (ot.utils.baseestimator method)": [[121, "id15", false], [121, "ot.utils.BaseEstimator.set_params", false]], "sgd_entropic_regularization() (in module ot.stochastic)": [[119, "id35", false], [119, "ot.stochastic.sgd_entropic_regularization", false]], "sign() (ot.backend.backend method)": [[98, "id66", false], [98, "ot.backend.Backend.sign", false]], "sign() (ot.backend.cupybackend method)": [[98, "id153", false], [98, "ot.backend.CupyBackend.sign", false]], "sign() (ot.backend.jaxbackend method)": [[98, "id238", false], [98, "ot.backend.JaxBackend.sign", false]], "sign() (ot.backend.numpybackend method)": [[98, "id324", false], [98, "ot.backend.NumpyBackend.sign", false]], "sign() (ot.backend.tensorflowbackend method)": [[98, "id410", false], [98, "ot.backend.TensorflowBackend.sign", false]], "sign() (ot.backend.torchbackend method)": [[98, "id496", false], [98, "ot.backend.TorchBackend.sign", false]], "sinkhorn() (in module ot)": [[0, "ot.sinkhorn", false]], "sinkhorn() 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example", "Gromov-Wasserstein Barycenter example", "(Fused) Gromov-Wasserstein Linear Dictionary Learning", "Plot partial FGW for subgraph matching", "Quantized Fused Gromov-Wasserstein examples", "Semi-relaxed (Fused) Gromov-Wasserstein example", "Semi-relaxed (Fused) Gromov-Wasserstein Barycenter as Dictionary Learning", "Computation times", "Examples gallery", "Factored an Low-Rank OT", "Optimal transport with factored couplings", "Low rank Gromov-Wasterstein between samples", "Low rank Sinkhorn", "Nystr\u00f6m approximation for OT", "Computation times", "Other OT problems", "Row and column alignments with CO-Optimal Transport", "Entropic Wasserstein Component Analysis", "Smooth and Strongly Convex Nearest Brenier Potentials", "Wasserstein Discriminant Analysis", "Weak Optimal Transport VS exact Optimal Transport", "Computing 1-dimensional Barycenters via d-MMOT", "Logo of the POT toolbox", "Detecting outliers by learning sample marginal distribution with CO-Optimal Transport and by 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