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docs: fix classifier docstring #366

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stephantul merged 1 commit into from
Sep 12, 2026
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docs: fix classifier docstring #366

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5 changes: 3 additions & 2 deletions model2vec/train/classifier.py
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Expand Up @@ -173,8 +173,9 @@ def fit(
:param device: The device to train on. If this is "auto", the device is chosen automatically.
:param X_val: The texts to be used for validation.
:param y_val: The labels to be used for validation.
:param class_weight: The weight of the classes. If None, all classes are weighted equally. Must
have the same length as the number of classes.
:param class_weight: The weight of the classes. If None, all classes are weighted equally.
If "balanced", weights are computed as the inverse class frequency.
If a dict, it must map each class to its weight.
:param validation_steps: The number of steps to run validation for. If None, validation steps are estimated from the data.
:param random_seed: The random seed to use. Defaults to 42.
:return: The fitted model.
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