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remove experimental warning
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pymc_experimental/bart/pgbart.py

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@@ -56,7 +56,6 @@ class PGBART(ArrayStepShared):
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stats_dtypes = [{"variable_inclusion": np.ndarray, "bart_trees": np.ndarray}]
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def __init__(self, vars=None, num_particles=40, max_stages=100, batch="auto", model=None):
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_log.warning("BART is experimental. Use with caution.")
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model = modelcontext(model)
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initial_values = model.compute_initial_point()
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if vars is None:

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