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Fix docstring error
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cebra/integrations/sklearn/metrics.py

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@@ -206,7 +206,7 @@ def infonce_to_goodness_of_fit(infonce: Union[float, Iterable[float]],
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Numpy array containing the goodness of fit values, measured in bits
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Raises:
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``RuntimeError``, if provided model is not fit to data.
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RuntimeError: If the provided model is not fit to data.
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"""
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if not hasattr(model, "state_dict_"):
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raise RuntimeError("Fit the CEBRA model first.")

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