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Balanced Sampler WeightsMedium
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Per-Sample Weights for a Balanced Sampler

Return the per-sample weight needed to make a WeightedRandomSampler draw each class with equal probability.

Signature: def balanced_weights(labels: list) -> list

Weight for sample i is 1 / count(class_of_sample_i). Return a list of floats the same length as labels.

Math

Asked at

Python (numpy)0/3 runs today

Test Results

○binary imbalance
○balanced already
○three classes🔒 Premium
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