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fix : hiding progressbar
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causalpy/pymc_models.py

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@@ -605,6 +605,7 @@ def fit(self, t, y, coords, effect=[], span=None, grain_season=1, n=1000):
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"""
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Draw samples from posterior distribution
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"""
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self.sample_kwargs["progressbar"] = False
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self.build_model(t, y, coords, effect, span, grain_season)
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with self:
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self.idata = pm.sample(n, **self.sample_kwargs)

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