Add example to tf.contrib.distributions.Mixture.

PiperOrigin-RevId: 158573758

tensorflow/contrib/distributions/python/ops/mixture.py

@@ -42,6 +42,27 @@ class Mixture(distribution.Distribution):
 
  Methods supported include `log_prob`, `prob`, `mean`, `sample`, and
  `entropy_lower_bound`.
+
+
+ #### Examples
+
+ ```python
+ # Create a mixture of two Gaussians:
+ ds = tf.contrib.distributions
+ mix = 0.3
+ bimix_gauss = ds.Mixture(
+ cat=ds.Categorical(probs=[mix, 1.-mix]),
+ components=[
+ ds.Normal(loc=-1., scale=0.1),
+ ds.Normal(loc=+1., scale=0.5),
+ ])
+
+ # Plot the PDF.
+ import matplotlib.pyplot as plt
+ x = tf.linspace(-2., 3., int(1e4)).eval()
+ plt.plot(x, bimix_gauss.prob(x).eval());
+ ```
+
  """
 
  def __init__(self,