linear-probe
ruff check --select I --fix . && ruff format .
Expected input is features and labels columns.
| task | labels per example | example |
|---|---|---|
binary |
scalar 0/1 |
1 |
multilabel |
multi-hot list, length num_labels |
[1, 0, 1] |
multiclass |
int class index 0..k-1 |
2 |
Multilabel must be multi-hot, not index lists. To convert [0, 2] → [1, 0, 1]:
def to_multihot(ex, k):
v = [0.0] * k
for i in ex["labels"]:
v[i] = 1.0
return {"labels": v}
ds = ds.map(to_multihot, fn_kwargs={"k": num_labels})
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