Stats functions

`rSpringRank.stats`

This module contains miscellaneous statistical functions.

Summary

`PeerInstitution`
`PhDExchange`
`CrossValidation`

class rSpringRank.stats.CrossValidation(g, n_folds=5, n_subfolds=4, n_reps=3, seed=42, **kwargs)[source]

Bases: object

gen_all_train_validate_splits()[source]

gen_train_validate_splits(subgraph, seed=None, **kwargs)[source]

static get_cv_realization(graph, n_splits, seed=None)[source]

train_and_validate(model, fold_id, params=None, interp=None, **kwargs)[source]

class rSpringRank.stats.PeerInstitution[source]

Bases: Experiment

compute_basic_stats(sslc=None, dual_v=None, primal_s=None)[source]

draw()[source]

get_data(goi='sector')[source]: goi: which stratum (metadata of the nodes) that you are looking at?

get_node_metadata()[source]

plot_hist(bin_count=20, legend=False, saveto=None)[source]

print_sorted_diff(num=5)[source]

class rSpringRank.stats.PhDExchange[source]

Bases: Experiment

compute_basic_stats(sslc=None, dual_v=None, primal_s=None)[source]

draw()[source]

get_data(goi='sector')[source]: goi: which stratum (metadata of the nodes) that you are looking for?

get_node_metadata()[source]

plot_hist(bin_count=20, legend=False)[source]

print_sorted_diff(num=5)[source]

class rSpringRank.stats.cross_validation.CrossValidation(g, n_folds=5, n_subfolds=4, n_reps=3, seed=42, **kwargs)[source]

Bases: object

gen_all_train_validate_splits()[source]

gen_train_validate_splits(subgraph, seed=None, **kwargs)[source]

static get_cv_realization(graph, n_splits, seed=None)[source]

train_and_validate(model, fold_id, params=None, interp=None, **kwargs)[source]