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Train linear classification models on embeddings.

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linear-probe

ruff check --select I --fix . && ruff format .

Expected input is embeddings and labels columns. embeddings must be pre-computed. labels are raw values and encoded automatically.

task labels example
binary scalar 1, "spam"
multiclass scalar 2, "sports"
multilabel list of labels present ["politics", "eu"], [0, 2]
# binary
{"embeddings": [0.12, -0.53, 0.88, ...], "labels": "spam"}

# multiclass
{"embeddings": [0.12, -0.53, 0.88, ...], "labels": "sports"}

# multilabel
{"embeddings": [0.12, -0.53, 0.88, ...], "labels": ["politics", "eu"]}

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Train linear classification models on embeddings.

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