tf_privacy.linearly_separable_labeled_examples
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Generates num_examples labeled examples using separator given by weights.
tf_privacy.linearly_separable_labeled_examples(
num_examples: int, weights: np.ndarray
) -> RegressionDataset
Args |
num_examples
|
number of labeled examples to generate.
|
weights
|
dimension by num_classes matrix containing coefficients of linear
separator, where dimension is the dimension and num_classes is the number
of classes.
|
Returns |
RegressionDataset consisting of points and labels. Each point has unit
l2-norm.
|
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Last updated 2024-02-16 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-02-16 UTC."],[],[]]