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

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

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tf.contrib.distributions.NormalWithSoftplusSigma.get_event_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.NormalWithSoftplusSigma.get_event_shape() Shape of a single sample from a single batch as a TensorShape

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

tf.contrib.distributions.Multinomial.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes

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

tf.contrib.distributions.WishartFull.is_reparameterized

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

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

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

tf.contrib.distributions.Laplace.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='Laplace') Construct Laplace

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

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

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tf.contrib.distributions.GammaWithSoftplusAlphaBeta.log_pdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.log_pdf(value, name='log_pdf') Log probability density function.

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

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

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

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

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