Description Usage Arguments Value See Also
Ranking of groups based on predictive power
1 | determine.group.scores(train.features, labels, group.w, groups, no.cores = 1)
|
train.features |
Training feature matrix |
labels |
Training labels (Should be +1/-1) |
group.w |
Group lasso model |
groups |
Feature assignment to groups. Each feature should belong to exactly one group. |
no.cores |
No of cores for parallel processing |
Matrix with a row for each column. Each group will have the following fields: class (+1/-1), score, group.size (no. of kmers in group), class.size (no. non zero kmers in group), group
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