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hub / github.com/NetManAIOps/donut / MissingDataInjection

Class MissingDataInjection

donut/augmentation.py:70–96  ·  view source on GitHub ↗

Data augmentation by injecting missing points into training data. Args: mean (float): Mean of the training data. std (float): Standard deviation of the training data. missing_rate (float): The ratio of missing points to inject.

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Callers 3

test_propsMethod · 0.90
test_augmentMethod · 0.90
fitMethod · 0.85

Calls

no outgoing calls

Tested by 2

test_propsMethod · 0.72
test_augmentMethod · 0.72