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

tf.contrib.distributions.Categorical.is_continuous

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tf.contrib.distributions.StudentT.mode()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.SparseTensor.dtype
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.SparseTensor.dtype The DType of elements in this tensor.

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

class tf.contrib.distributions.Poisson Poisson distribution. The Poisson distribution is parameterized

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

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

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tf.contrib.learn.BaseEstimator
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

class tf.contrib.learn.BaseEstimator Abstract BaseEstimator class to train and evaluate TensorFlow models.

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tf.contrib.distributions.WishartCholesky.pdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.WishartCholesky.pdf(value, name='pdf') Probability density function. Args:

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tf.contrib.learn.monitors.NanLoss
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

class tf.contrib.learn.monitors.NanLoss NaN Loss monitor. Monitors loss and stops training if

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

tf.contrib.distributions.ExponentialWithSoftplusLam.event_shape(name='event_shape') Shape of a single sample from a single batch

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

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.sample_n(n, seed=None, name='sample_n') Generate n samples.

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