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

tf.contrib.distributions.ExponentialWithSoftplusLam.survival_function(value, name='survival_function') Survival function.

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

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

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tf.fft()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.fft(input, name=None) Compute the 1-dimensional discrete Fourier Transform over the inner-most dimension

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tf.PaddingFIFOQueue.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.PaddingFIFOQueue.__init__(capacity, dtypes, shapes, names=None, shared_name=None, name='padding_fifo_queue') Creates a queue

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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.InverseGammaWithSoftplusAlphaBeta.cdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.cdf(value, name='cdf') Cumulative distribution function.

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

tf.contrib.distributions.Dirichlet.is_reparameterized

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

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.get_batch_shape() Shape of a single sample from a single event index

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

tf.contrib.distributions.WishartFull.log_normalizing_constant(name='log_normalizing_constant') Computes the log normalizing constant

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

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

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