upsample

When dealing with surveys, it’s common to want your sample to reflect a specific demographic. When this ideal representation cannot be achieved, you’d usually assign a strictly positive weight to each row reflecting how representative it is of your desired population. This step takes these precomputed weights and uses them to make the input reflect your desired population by repeating the rows a number of times in proportion to their weight until the desired image of your target population is reached within the dataset.

upsample(ds_in: dataset, {
    "param": value,
    ...
}) -> (ds_out: dataset)

1 ≤ n_samples_min < inf