hoi.utils.get_nbest_mult

hoi.utils.get_nbest_mult#

hoi.utils.get_nbest_mult(hoi, model=None, orders=None, multiplets=None, n_best=5, minsize=None, maxsize=None, names=None)[source]#

Get the n best multiplets.

This function requires pandas to be installed.

Parameters:
hoiarray_like

Array of higher-order information.

modelhoi.metrics, optional

Model used to compute the higher-order information. The default is None.

orders: array_like, optional

Order associated to each multiplet. The default is None.

multiplets: array_like, optional

Combination of features. The default is None.

n_bestint, optional

Number of best multiplets to return. The default is 5.

minsizeint, optional

Minimum size of the multiplets. The default is None.

maxsizeint, optional

Maximum size of the multiplets. The default is None.

nameslist, optional

List of names of the variables. The default is None.

Returns:
df_bestpandas.DataFrame

Dataframe containing the n best multiplets.

Examples using hoi.utils.get_nbest_mult#

Topological Information : conditioning on orders

Topological Information : conditioning on orders

Redundancy-Synergy Index

Redundancy-Synergy Index

Integrated Information Decomposition

Integrated Information Decomposition

Redundancy and Synergy MMI

Redundancy and Synergy MMI

O-information and its derivatives for network behavior and encoding

O-information and its derivatives for network behavior and encoding

Bootstrapping and confidence interval

Bootstrapping and confidence interval

Inspect and plot Higher-Order Interactions

Inspect and plot Higher-Order Interactions