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tf.contrib.distributions.Multinomial

class tf.contrib.distributions.Multinomial

Multinomial distribution.

This distribution is parameterized by a vector p of probability parameters for k classes and n, the counts per each class..

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.distributions.html#Multinomial

doc_TensorFlow

2025-01-10 15:47:30

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tf.contrib.distributions.Multinomial.parameters tf.contrib.distributions.Multinomial.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.Multinomial.name tf.contrib.distributions.Multinomial.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.Multinomial.mean() tf.contrib.distributions.Multinomial.mean(name='mean') Mean.

tf.contrib.distributions.Multinomial.variance() tf.contrib.distributions.Multinomial.variance(name='variance') Variance.

tf.contrib.distributions.Multinomial.sample() tf.contrib.distributions.Multinomial.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape. Note that a call to