tf.contrib.distributions.Laplace.std()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Laplace.std(name='std') Standard deviation.

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tf.contrib.distributions.Beta.allow_nan_stats
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Beta.allow_nan_stats Python boolean describing behavior when a stat is undefined. Stats

2025-01-10 15:47:30
tf.contrib.distributions.Exponential.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

2025-01-10 15:47:30
tf.contrib.distributions.ExponentialWithSoftplusLam.mode()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.ExponentialWithSoftplusLam.mode(name='mode') Mode. Additional documentation

2025-01-10 15:47:30
tf.contrib.distributions.BernoulliWithSigmoidP.pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.BernoulliWithSigmoidP.pmf(value, name='pmf') Probability mass function. Args:

2025-01-10 15:47:30
tf.contrib.distributions.MultivariateNormalCholesky.prob()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalCholesky.prob(value, name='prob') Probability density/mass function (depending on

2025-01-10 15:47:30
tf.contrib.distributions.StudentT.mode()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.StudentT.mode(name='mode') Mode.

2025-01-10 15:47:30
tf.contrib.distributions.Multinomial.logits
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Multinomial.logits Log-odds.

2025-01-10 15:47:30
tf.contrib.distributions.ExponentialWithSoftplusLam.pdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.ExponentialWithSoftplusLam.pdf(value, name='pdf') Probability density function.

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tf.contrib.distributions.Bernoulli.sample()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Bernoulli.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape.

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