add_missinglabels_mar: Throw out labels at random
In RSSL: Implementations of Semi-Supervised Learning Approaches for Classification
add_missinglabels_mar R Documentation
Throw out labels at random
Description
Original labels are saved in attribute y_true
Usage
add_missinglabels_mar(df, formula = NULL, prob = 0.1)
Arguments
df
data.frame; Data frame of interest
formula
formula; Formula to indicate the outputs
prob
numeric; Probability of removing the label
See Also
Other RSSL utilities:
LearningCurveSSL(),
SSLDataFrameToMatrices(),
df_to_matrices(),
measure_accuracy(),
missing_labels(),
split_dataset_ssl(),
split_random(),
true_labels()
RSSL documentation built on March 31, 2023, 7:27 p.m.
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| add_missinglabels_mar | R Documentation |
Throw out labels at random
Description
Original labels are saved in attribute y_true
Usage
add_missinglabels_mar(df, formula = NULL, prob = 0.1)
Arguments
df |
data.frame; Data frame of interest |
formula |
formula; Formula to indicate the outputs |
prob |
numeric; Probability of removing the label |
See Also
Other RSSL utilities:
LearningCurveSSL(),
SSLDataFrameToMatrices(),
df_to_matrices(),
measure_accuracy(),
missing_labels(),
split_dataset_ssl(),
split_random(),
true_labels()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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