Given a formula object and a data.frame, extract the design matrix X for the labeled observations, X_u for the unlabeled observations and y for the labels of the labeled observations. Note: always removes the intercept
SSLDataFrameToMatrices(model, D)list object with the following objects:
design matrix of the labeled data
design matrix of the unlabeled data
integer vector indicating the labels of the labeled data
names of the classes corresponding to the integers in y
Formula object with model
data.frame object with objects
Other RSSL utilities:
LearningCurveSSL(),
add_missinglabels_mar(),
df_to_matrices(),
measure_accuracy(),
missing_labels(),
split_dataset_ssl(),
split_random(),
true_labels()