Index _ | A | C | D | E | F | G | I | M | N | O | P | Q | R | S | T | V | W _ __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.centers) assign_distributions() (repliclust.base.DistributionMix method) (repliclust.distributions.FixedProportionMix method) C ClusterCenterSampler (class in repliclust.base) ConstrainedOverlapCenters (class in repliclust.overlap.centers) construct_near_ortho_matrix() (in module repliclust.distortion) CovarianceSampler (class in repliclust.base) create_another_like_this() (repliclust.maxmin.archetype.MaxMinArchetype method) D DataGenerator (class in repliclust.base) describe() (repliclust.maxmin.archetype.MaxMinArchetype method) distort() (in module repliclust.distortion) DistributionFromNumPy (class in repliclust.distributions) DistributionFromPDF (class in repliclust.distributions) DistributionMix (class in repliclust.base) E edit_params() (repliclust.maxmin.archetype.MaxMinArchetype method) Exponential (class in repliclust.distributions) F FixedProportionMix (class in repliclust.distributions) forward() (repliclust.distortion.NeuralNetwork method) from_verbal_description() (repliclust.maxmin.archetype.MaxMinArchetype static method) G get_supported_distributions() (in module repliclust.base) GroupSizeSampler (class in repliclust.base) guess_learning_rate() (repliclust.maxmin.archetype.MaxMinArchetype method) 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) MaxMinArchetype (class in repliclust.maxmin.archetype) MaxMinCovarianceSampler (class in repliclust.maxmin.covariance) MaxMinGroupSizeSampler (class in repliclust.maxmin.groupsizes) MixtureModel (class in repliclust.base) module repliclust.base repliclust.distortion repliclust.distributions repliclust.maxmin repliclust.maxmin.archetype repliclust.maxmin.covariance repliclust.maxmin.groupsizes repliclust.overlap repliclust.overlap.centers repliclust.viz N NeuralNetwork (class in repliclust.distortion) Normal (class in repliclust.distributions) O overlap2quantile_vec() (in module repliclust.overlap.centers) P parse_distribution() (in module repliclust.distributions) parse_distribution_selection() (in module repliclust.maxmin.archetype) plot() (in module repliclust.viz) Q quantile2overlap_vec() (in module repliclust.overlap.centers) R radius_maxmin (repliclust.maxmin.covariance.MaxMinCovarianceSampler attribute) repliclust.base module repliclust.distortion module repliclust.distributions module repliclust.maxmin module repliclust.maxmin.archetype module repliclust.maxmin.covariance module repliclust.maxmin.groupsizes module repliclust.overlap module repliclust.overlap.centers module repliclust.viz 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_hyperparams() (repliclust.maxmin.archetype.MaxMinArchetype method) sample_mixture_model() (repliclust.base.Archetype method) set_seed() (in module repliclust.base) SingleClusterDistribution (class in repliclust.base) StandardT (class in repliclust.distributions) synthesize() (repliclust.base.Archetype method) (repliclust.base.DataGenerator method) T training (repliclust.distortion.NeuralNetwork attribute) 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) W wrap_around_sphere() (in module repliclust.distortion)