Table of Contents
Installation
Implemented Algorithms
Typical usage of the package
Modules (API reference)
Tutorial: Density Based Clustering
Tutorial: Information Imbalance
Tutorial: Intrinsic dimension
Tutorial: Using DADApy to analyse a molecular dynamics trajectory of a small peptide
Tutorial: Intrinsic dimension estimation for discrete metrics
Tutorial: Differentiable Information Imbalance
Tutorial: Differentiable Information Imbalance (JAX implementation)
Tutorial: Community causal graph reconstruction
Tutorial: Binary Intrinsic Dimension
Hands-on tutorial at SISSA
Citing DADApy
dadapy
Index
Index
_
|
B
|
C
|
D
|
F
|
G
|
H
|
I
|
J
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
_
_utils.utils
module
B
backward_greedy_feature_selection() (diff_imbalance.DiffImbalance method)
base
module
Base (class in base)
batches_per_epoch (diff_imbalance.DiffImbalance attribute)
bord_indices (clustering.Clustering attribute)
C
causal_graph
module
CausalGraph (class in causal_graph)
cluster_assignment (clustering.Clustering attribute)
cluster_centers (clustering.Clustering attribute)
cluster_indices (clustering.Clustering attribute)
clustering
module
Clustering (class in clustering)
common_neighs_array (neigh_graph.NeighGraph attribute)
common_neighs_mat (neigh_graph.NeighGraph attribute)
community_graph_visualization() (causal_graph.CausalGraph method)
compute_adj_matrix() (causal_graph.CausalGraph method)
compute_all_distances() (in module _utils.utils)
compute_clustering_ADP() (clustering.Clustering method)
compute_clustering_ADP_pure_python() (clustering.Clustering method)
compute_clustering_DP() (clustering.Clustering method)
compute_common_neighs() (neigh_graph.NeighGraph method)
compute_cross_nn_distances() (in module _utils.utils)
compute_DecGraph() (clustering.Clustering method)
compute_deltaFs() (density_advanced.DensityAdvanced method)
compute_density_BMTI() (density_advanced.DensityAdvanced method)
compute_density_kNN() (density_estimation.DensityEstimation method)
compute_density_kpeaks() (density_estimation.DensityEstimation method)
compute_density_kstarNN() (density_estimation.DensityEstimation method)
compute_density_PAk() (density_estimation.DensityEstimation method)
compute_diag_inv_deltaFs_cross_covariance_LSDI() (density_advanced.DensityAdvanced method)
compute_distances() (base.Base method)
(id_discrete.IdDiscrete method)
compute_grads() (density_advanced.DensityAdvanced method)
compute_id_2NN() (id_estimation.IdEstimation method)
compute_id_2NN_wprior() (id_estimation.IdEstimation method)
compute_id_binomial_k() (id_estimation.IdEstimation method)
compute_id_binomial_k_discrete() (id_discrete.IdDiscrete method)
compute_id_binomial_lk() (id_discrete.IdDiscrete method)
compute_id_binomial_rk() (id_estimation.IdEstimation method)
compute_local_density() (id_discrete.IdDiscrete method)
compute_neigh_dists() (neigh_graph.NeighGraph method)
compute_neigh_indices() (neigh_graph.NeighGraph method)
compute_neigh_similarity_index() (neigh_graph.NeighGraph method)
compute_neigh_similarity_index_mat() (neigh_graph.NeighGraph method)
compute_neigh_vector_diffs() (neigh_graph.NeighGraph method)
compute_nn_distances() (in module _utils.utils)
compute_NN_PBC() (in module _utils.utils)
compute_pearson() (density_advanced.DensityAdvanced method)
compute_row_distances() (in module hamming)
coords_future (causal_graph.CausalGraph attribute)
coords_present (causal_graph.CausalGraph attribute)
D
data
module
Data (class in data)
data_A (diff_imbalance.DiffImbalance attribute)
data_B (diff_imbalance.DiffImbalance attribute)
density_advanced
module
density_estimation
module
DensityAdvanced (class in density_advanced)
DensityEstimation (class in density_estimation)
diff_imbalance
module
DiffImbalance (class in diff_imbalance)
F
feature_weighting
module
FeatureWeighting (class in feature_weighting)
Fij_array (density_advanced.DensityAdvanced attribute)
Fij_var_array (density_advanced.DensityAdvanced attribute)
find_communities() (causal_graph.CausalGraph method)
fix_k() (id_discrete.IdDiscrete method)
fix_k_shell() (id_discrete.IdDiscrete method)
fix_lk() (id_discrete.IdDiscrete method)
forward_greedy_feature_selection() (diff_imbalance.DiffImbalance method)
from_all_distances_to_nndistances() (in module _utils.utils)
G
grads (density_advanced.DensityAdvanced attribute)
grads_covmat (density_advanced.DensityAdvanced attribute)
grads_var (density_advanced.DensityAdvanced attribute)
greedy_feature_selection_full() (metric_comparisons.MetricComparisons method)
greedy_feature_selection_target() (metric_comparisons.MetricComparisons method)
H
hamming
module
I
id_discrete
module
id_estimation
module
IdDiscrete (class in id_discrete)
IdEstimation (class in id_estimation)
intrinsic_dim (id_discrete.IdDiscrete attribute)
intrinsic_dim_err (id_discrete.IdDiscrete attribute)
intrinsic_dim_scale (id_discrete.IdDiscrete attribute)
inv_deltaFs_cov (density_advanced.DensityAdvanced attribute)
J
jcompute_distances() (in module hamming)
K
k (id_discrete.IdDiscrete attribute)
k_final (diff_imbalance.DiffImbalance attribute)
k_init (diff_imbalance.DiffImbalance attribute)
L
l1_strength (diff_imbalance.DiffImbalance attribute)
lambda_factor (diff_imbalance.DiffImbalance attribute)
learning_rate (diff_imbalance.DiffImbalance attribute)
learning_rate_decay (diff_imbalance.DiffImbalance attribute)
lk (id_discrete.IdDiscrete attribute)
ln (id_discrete.IdDiscrete attribute)
log_den (density_estimation.DensityEstimation attribute)
log_den_bord (clustering.Clustering attribute)
log_den_bord_err (clustering.Clustering attribute)
log_den_err (density_estimation.DensityEstimation attribute)
M
metric_comparisons
module
MetricComparisons (class in metric_comparisons)
model_validation_full() (id_discrete.IdDiscrete method)
module
_utils.utils
base
causal_graph
clustering
data
density_advanced
density_estimation
diff_imbalance
feature_weighting
hamming
id_discrete
id_estimation
metric_comparisons
neigh_graph
N
n (id_discrete.IdDiscrete attribute)
N_clusters (clustering.Clustering attribute)
neigh_dists (neigh_graph.NeighGraph attribute)
neigh_graph
module
neigh_similarity_index (neigh_graph.NeighGraph attribute)
neigh_similarity_index_mat (neigh_graph.NeighGraph attribute)
neigh_vector_diffs (neigh_graph.NeighGraph attribute)
NeighGraph (class in neigh_graph)
nind_iptr (neigh_graph.NeighGraph attribute)
nind_list (neigh_graph.NeighGraph attribute)
nspar (neigh_graph.NeighGraph attribute)
num_epochs (diff_imbalance.DiffImbalance attribute)
num_points_rows (diff_imbalance.DiffImbalance attribute)
O
optimize_present_to_future() (causal_graph.CausalGraph method)
Optimizer (class in hamming)
optimizer_name (diff_imbalance.DiffImbalance attribute)
P
params_init (diff_imbalance.DiffImbalance attribute)
pearson_array (density_advanced.DensityAdvanced attribute)
periods (causal_graph.CausalGraph attribute)
periods_A (diff_imbalance.DiffImbalance attribute)
periods_B (diff_imbalance.DiffImbalance attribute)
point_adapt_lambda (diff_imbalance.DiffImbalance attribute)
posterior (id_discrete.IdDiscrete attribute)
posterior_domain (id_discrete.IdDiscrete attribute)
R
ratio (id_discrete.IdDiscrete attribute)
remove_identical_points() (base.Base method)
remove_zero_dists() (base.Base method)
return_backward_greedy_dii_elimination() (feature_weighting.FeatureWeighting method)
return_data_overlap() (metric_comparisons.MetricComparisons method)
return_dii() (feature_weighting.FeatureWeighting method)
return_dii_gradient() (feature_weighting.FeatureWeighting method)
return_entropy() (density_estimation.DensityEstimation method)
return_final_dii() (diff_imbalance.DiffImbalance method)
return_id_fit() (id_discrete.IdDiscrete method)
return_id_fit_continuum() (id_discrete.IdDiscrete method)
return_id_scaling() (id_discrete.IdDiscrete method)
return_id_scaling_2NN() (id_estimation.IdEstimation method)
return_id_scaling_gride() (id_estimation.IdEstimation method)
return_id_scaling_k() (id_discrete.IdDiscrete method)
return_ids_kstar_binomial() (data.Data method)
return_ids_kstar_gride() (data.Data method)
return_inf_imb_causality() (metric_comparisons.MetricComparisons method)
return_inf_imb_causality_conditioning() (metric_comparisons.MetricComparisons method)
return_inf_imb_causality_input_rank() (metric_comparisons.MetricComparisons method)
return_inf_imb_full_all_coords() (metric_comparisons.MetricComparisons method)
return_inf_imb_full_all_dplets() (metric_comparisons.MetricComparisons method)
return_inf_imb_full_selected_coords() (metric_comparisons.MetricComparisons method)
return_inf_imb_matrix_of_coords() (metric_comparisons.MetricComparisons method)
return_inf_imb_target_all_coords() (metric_comparisons.MetricComparisons method)
return_inf_imb_target_all_dplets() (metric_comparisons.MetricComparisons method)
return_inf_imb_target_selected_coords() (metric_comparisons.MetricComparisons method)
return_inf_imb_two_selected_coords() (metric_comparisons.MetricComparisons method)
return_information_imbalace() (metric_comparisons.MetricComparisons method)
return_interpolated_density_kNN() (density_estimation.DensityEstimation method)
return_interpolated_density_kstarNN() (density_estimation.DensityEstimation method)
return_interpolated_density_PAk() (density_estimation.DensityEstimation method)
return_label_overlap() (metric_comparisons.MetricComparisons method)
return_label_overlap_coords() (metric_comparisons.MetricComparisons method)
return_label_overlap_selected_coords() (metric_comparisons.MetricComparisons method)
return_lasso_optimization_dii_search() (feature_weighting.FeatureWeighting method)
return_nn_indices() (causal_graph.CausalGraph method)
return_optimal_lambda() (feature_weighting.FeatureWeighting method)
return_optimal_learning_rate() (feature_weighting.FeatureWeighting method)
return_overlap_coords() (metric_comparisons.MetricComparisons method)
return_ranks_present_for_all_weights() (metric_comparisons.MetricComparisons method)
return_sparse_distance_graph() (neigh_graph.NeighGraph method)
return_weights_optimize_dii() (feature_weighting.FeatureWeighting method)
S
seed (causal_graph.CausalGraph attribute)
(diff_imbalance.DiffImbalance attribute)
set_id() (id_discrete.IdDiscrete method)
(id_estimation.IdEstimation method)
set_kstar() (density_advanced.DensityAdvanced method)
(density_estimation.DensityEstimation method)
(neigh_graph.NeighGraph method)
set_lk_ln() (id_discrete.IdDiscrete method)
set_ratio() (id_discrete.IdDiscrete method)
set_w() (id_discrete.IdDiscrete method)
standardize (causal_graph.CausalGraph attribute)
T
time_series (causal_graph.CausalGraph attribute)
train() (diff_imbalance.DiffImbalance method)