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[mix_model] supress progress bar
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lectures/mix_model.md

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@@ -730,7 +730,7 @@ def MCMC_run(ws):
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"Compute posterior using MCMC with observed ws"
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kernal = NUTS(model)
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mcmc = MCMC(kernal, num_samples=5000, num_warmup=1000)
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mcmc = MCMC(kernal, num_samples=5000, num_warmup=1000, progress_bar=False)
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mcmc.run(rng_key=random.PRNGKey(142857), w=jnp.array(ws))
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sample = mcmc.get_samples()

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