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Fix docstring
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autoemulate/emulators/conformal.py

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@@ -308,8 +308,11 @@ def _predict(self, x: TensorLike, with_grad: bool) -> DistributionLike:
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class ConformalMLP(Conformal, PyTorchBackend):
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"""Conformal UQ with an MLP.
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This class is to provide ensemble of MLP emulators, each initialized with the same
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input and output data.
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This class is to provides UQ via conformal prediction intervals wrapped around a
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Multi-Layer Perceptron (MLP) emulator.
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Both standard split conformal and Conformalized Quantile Regression (CQR) methods
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are supported.
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"""
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