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gempy_probability/core/sampler.py

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import dataclasses
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@dataclasses.dataclass
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class NUTS_Args:
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step_size: float = 0.0085
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adapt_step_size: bool = True
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target_accept_prob: float = 0.9
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max_tree_depth: int = 10
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init_strategy: str = 'auto'
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num_samples: int = 200
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warmup_steps: int = 50

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