convert numpyro to bayeux

Caio Henrique answered on August 31, 2024 Popularity 1/10 Helpfulness 1/10

answer convert numpyro to bayeux

convert numpyro to bayeux

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num_schools = 8
treatment_effects = np.array([28, 8, -3, 7, -1, 1, 18, 12], dtype=np.float32)
treatment_stddevs = np.array([15, 10, 16, 11, 9, 11, 10, 18], dtype=np.float32)

def numpyro_model():
  avg_effect = numpyro.sample('avg_effect', dist.Normal(0., 10.))
  avg_stddev = numpyro.sample('avg_stddev', dist.HalfNormal(10.))
  with numpyro.plate('J', 8):
    school_effects = numpyro.sample('school_effects', dist.Normal(0., 1.))
    numpyro.sample('observed',
                   dist.Normal(avg_effect[..., None] + avg_stddev[..., None] * school_effects,
                               treatment_stddevs),
                   obs=treatment_effects)

bx_model = bx.Model.from_numpyro(numpyro_model)

Popularity 1/10 Helpfulness 1/10 Language python

Source: jax-ml.github.io

Tags: bayeux python

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Contributed on Aug 31 2024

Caio Henrique

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