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docs: fix docstring examples for RandomBaseline and CrhEnsemble #1349

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solarsys merged 1 commit into from
Oct 30, 2026
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docs: fix docstring examples for RandomBaseline and CrhEnsemble #1349

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4 changes: 2 additions & 2 deletions pyhealth/interpret/methods/baseline.py
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Expand Up @@ -44,7 +44,7 @@ class RandomBaseline(BaseInterpreter):
Examples:
>>> import torch
>>> from pyhealth.datasets import create_sample_dataset, get_dataloader
>>> from pyhealth.interpret.methods.baseline import Random
>>> from pyhealth.interpret.methods import RandomBaseline
>>> from pyhealth.models import MLP
>>>
>>> samples = [
Expand All @@ -64,7 +64,7 @@ class RandomBaseline(BaseInterpreter):
>>> model.eval()
>>> test_loader = get_dataloader(dataset, batch_size=1, shuffle=False)
>>>
>>> rand_interp = Random(model, random_seed=42)
>>> rand_interp = RandomBaseline(model, random_seed=42)
>>> batch = next(iter(test_loader))
>>> attributions = rand_interp.attribute(**batch)
>>> print({k: v.shape for k, v in attributions.items()})
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4 changes: 2 additions & 2 deletions pyhealth/interpret/methods/ensemble_crh.py
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Expand Up @@ -47,8 +47,8 @@ class CrhEnsemble(BaseInterpreterEnsemble):
between successive iterations is below this value.

Example:
>>> from pyhealth.interpret.methods import GradientShap, IntegratedGradients, Saliency
>>> experts = [GradientShap(model), IntegratedGradients(model), Saliency(model)]
>>> from pyhealth.interpret.methods import DeepLift, IntegratedGradients, LimeExplainer
>>> experts = [IntegratedGradients(model), DeepLift(model), LimeExplainer(model)]
>>> ensemble = CrhEnsemble(model, experts, n_iter=30)
>>> attrs = ensemble.attribute(**batch)
"""
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