tf.contrib.distributions.BernoulliWithSigmoidP.sample_n()

tf.contrib.distributions.BernoulliWithSigmoidP.sample_n(n, seed=None, name='sample_n')

Generate n samples.

Args:
  • n: Scalar Tensor of type int32 or int64, the number of observations to sample.
  • seed: Python integer seed for RNG
  • name: name to give to the op.
Returns:
  • samples: a Tensor with a prepended dimension (n,).
Raises:
  • TypeError: if n is not an integer type.
doc_TensorFlow
2016-10-14 12:45:54
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