batch_nmi {metasnf} | R Documentation |
Calculate feature NMIs for a data_list and a derived solutions_matrix
Description
Calculate feature NMIs for a data_list and a derived solutions_matrix
Usage
batch_nmi(
data_list,
solutions_matrix,
clust_algs_list = NULL,
distance_metrics_list = NULL,
automatic_standard_normalize = FALSE,
transpose = TRUE,
ignore_inclusions = TRUE,
verbose = FALSE
)
Arguments
data_list |
A nested list of input data from |
solutions_matrix |
Result of |
clust_algs_list |
List of custom clustering algorithms to apply
to the final fused network. See ?generate_clust_algs_list. Use the same
value as was used in the original call to |
distance_metrics_list |
An optional nested list containing which
distance metric function should be used for the various feature types
(continuous, discrete, ordinal, categorical, and mixed). Use the same value
as was used in the original call to |
automatic_standard_normalize |
If TRUE, will automatically apply
standard normalization prior to calculation of any distance matrices. Use
the same value as was used in the original call to |
transpose |
If TRUE, will transpose the output dataframe. |
ignore_inclusions |
If TRUE, will ignore the inclusion columns in the solutions matrix and calculate NMIs for all features. If FALSE, will give NAs for features that were dropped on a given settings_matrix row. |
verbose |
If TRUE, print progress to console. |
Value
A "data.frame" class object containing one row for every feature in the provided data list and one column for every solution in the provided solutions matrix. Populated values show the calculated NMI score for each feature-solution combination.