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

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

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

tf.contrib.distributions.Beta.b Shape parameter.

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

class tf.contrib.distributions.Uniform Uniform distribution with a and b parameters.

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tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.pmf(value, name='pmf') Probability mass function.

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tf.contrib.distributions.DirichletMultinomial.log_cdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.DirichletMultinomial.log_cdf(value, name='log_cdf') Log cumulative distribution function.

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tf.contrib.distributions.WishartFull.param_shapes()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.WishartFull.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given

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tf.contrib.distributions.MultivariateNormalDiag.name
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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

tf.contrib.distributions.Multinomial.__init__(n, logits=None, p=None, validate_args=False, allow_nan_stats=True, name='Multinomial') Initialize

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tf.contrib.distributions.QuantizedDistribution.validate_args
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.QuantizedDistribution.validate_args Python boolean indicated possibly expensive checks are enabled.

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

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

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