Description Usage Arguments Value
PLUS main function.
1 2 | PLUS(train_data = train_data, Label.obs = Label.obs,
Sample_use_time = 30, l.rate = 1, qq = 0.1)
|
train_data |
train_data N*M matrix which has N samples and M variables. |
Label.obs |
Positive Unlabeled for each sample, 1 means true positive label, 0 means unlabeled labels. |
Sample_use_time |
used in stop criteria, how many times each samples to be used in training process. |
l.rate |
control how much information from last iteration will be used in next. |
qq |
quantile of the probability for positive samples, used to determine the cutoff between positive and negtive. |
A list consist of three objects including predicted y, predicted coefficient, cutoff. (output 1. probability for each sample to be labeled as positive;output 2. cutoff to distinguish probability between positive and negtive samples; output 3. variable coeffecient non-zero means used in modeling)
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