Index _ | A | C | D | E | F | G | H | I | M | P | R | S | T | U | V _ __init__() (repliclust.maxmin.groupsizes.MaxMinGroupSizeSampler method) _distributions (repliclust.distributions.FixedProportionMix attribute) _proportions (repliclust.distributions.FixedProportionMix attribute) A Archetype (class in repliclust.base) aspect_maxmin (repliclust.maxmin.covariance.MaxMinCovarianceSampler attribute) aspect_ref (repliclust.maxmin.covariance.MaxMinCovarianceSampler attribute) assess_obs_overlap() (in module repliclust.overlap.gradients) assign_distributions() (repliclust.base.DistributionMix method) (repliclust.distributions.FixedProportionMix method) C chi2term_vectorized() (in module repliclust.overlap.gradients) cluster_loss() (in module repliclust.overlap.gradients) ClusterCenterSampler (class in repliclust.base) compute_other_cluster_idx() (in module repliclust.overlap.gradients) compute_overlaps_vectorized() (in module repliclust.overlap.gradients) ConstrainedOverlapCenters (class in repliclust.overlap.centers) CovarianceSampler (class in repliclust.base) cubicterm_vectorized() (in module repliclust.overlap.gradients) D DataGenerator (class in repliclust.base) DistributionFromNumPy (class in repliclust.distributions) DistributionFromPDF (class in repliclust.distributions) DistributionMix (class in repliclust.base) E Exponential (class in repliclust.distributions) F FixedProportionMix (class in repliclust.distributions) G get_supported_distributions() (in module repliclust.base) gradient_vectorized() (in module repliclust.overlap.gradients) GroupSizeSampler (class in repliclust.base) H harsum_vectorized() (in module repliclust.overlap.gradients) I imbalance_ratio (repliclust.maxmin.groupsizes.MaxMinGroupSizeSampler attribute) M make_axis_lengths() (repliclust.maxmin.covariance.MaxMinCovarianceSampler method) make_cluster_aspect_ratios() (repliclust.maxmin.covariance.MaxMinCovarianceSampler method) make_cluster_radii() (repliclust.maxmin.covariance.MaxMinCovarianceSampler method) make_group_sizes() (repliclust.maxmin.groupsizes.MaxMinGroupSizeSampler method) make_mahalanobis_args() (in module repliclust.overlap.gradients) make_mharsum_vec() (in module repliclust.overlap.gradients) make_premahalanobis_args() (in module repliclust.overlap.gradients) MaxMinArchetype (class in repliclust.maxmin.archetype) MaxMinCovarianceSampler (class in repliclust.maxmin.covariance) MaxMinGroupSizeSampler (class in repliclust.maxmin.groupsizes) mdist_vectorized() (in module repliclust.overlap.gradients) MixtureModel (class in repliclust.base) module repliclust repliclust.base repliclust.distributions repliclust.maxmin repliclust.maxmin.archetype repliclust.maxmin.covariance repliclust.maxmin.groupsizes repliclust.overlap.centers repliclust.overlap.gradients MultivariateNormal (class in repliclust.distributions) P parse_distribution() (in module repliclust.distributions) parse_distribution_selection() (in module repliclust.maxmin.archetype) R radius_maxmin (repliclust.maxmin.covariance.MaxMinCovarianceSampler attribute) repliclust module repliclust.base module repliclust.distributions module repliclust.maxmin module repliclust.maxmin.archetype module repliclust.maxmin.covariance module repliclust.maxmin.groupsizes module repliclust.overlap.centers module repliclust.overlap.gradients module S sample_cluster() (repliclust.base.SingleClusterDistribution method) sample_cluster_centers() (repliclust.base.ClusterCenterSampler method) (repliclust.overlap.centers.ConstrainedOverlapCenters method) sample_covariances() (repliclust.base.CovarianceSampler method) (repliclust.maxmin.covariance.MaxMinCovarianceSampler method) sample_data() (repliclust.base.MixtureModel method) sample_group_sizes() (repliclust.base.GroupSizeSampler method) (repliclust.maxmin.groupsizes.MaxMinGroupSizeSampler method) sample_mixture_model() (repliclust.base.Archetype method) set_seed() (in module repliclust.base) SingleClusterDistribution (class in repliclust.base) squareterm_vectorized() (in module repliclust.overlap.gradients) StandardT (class in repliclust.distributions) summandterm_vectorized() (in module repliclust.overlap.gradients) synthesize() (repliclust.base.DataGenerator method) T total_loss() (in module repliclust.overlap.gradients) U update_centers() (in module repliclust.overlap.gradients) V validate_archetype_args() (in module repliclust.maxmin.archetype) validate_k() (repliclust.maxmin.covariance.MaxMinCovarianceSampler method) validate_maxmin_ratios() (in module repliclust.maxmin.archetype) validate_overlaps() (in module repliclust.maxmin.archetype) validate_reference_quantity() (in module repliclust.maxmin.archetype)