elastic_net_gene_selection.datasets package

Submodules

elastic_net_gene_selection.datasets.correlated_random_variables module

class elastic_net_gene_selection.datasets.correlated_random_variables.CorrelatedNormal(Sigma)

Bases: object

sample(n_samples=1000)

class elastic_net_gene_selection.datasets.correlated_random_variables.HubSpokeData(n_groups=5, group_size=10, n_singeltons=50, diagonal_weight=0.36787944117144233, off_diagonal_weight=1)

Bases: object

sample(n_samples=1000)

elastic_net_gene_selection.datasets.correlated_random_variables.hub_spoke_corr_mat(D=50, groups=5, v=0.3, u=0.1)

elastic_net_gene_selection.datasets.correlated_random_variables.random_corr_mat(D=10, beta=1)

Generate random valid correlation matrix of dimension D. Smaller beta gives larger off diagonal correlations (beta > 0).

Module contents

Data sets package for elastic_net_gene_selection.