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

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

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tf.contrib.learn.monitors.ValidationMonitor.every_n_step_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.ValidationMonitor.every_n_step_begin(step) Callback before every n'th step begins.

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tf.contrib.distributions.Chi2WithAbsDf.entropy()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2WithAbsDf.entropy(name='entropy') Shanon entropy in nats. Additional

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

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

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tf.is_strictly_increasing()
  • References/Big Data/TensorFlow/TensorFlow Python/Asserts and boolean checks.

tf.is_strictly_increasing(x, name=None) Returns True if x is strictly increasing.

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tf.nn.rnn_cell.OutputProjectionWrapper
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

class tf.nn.rnn_cell.OutputProjectionWrapper Operator adding an output projection to the given cell. Note:

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

tf.contrib.learn.DNNRegressor.config

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

class tf.FIFOQueue A queue implementation that dequeues elements in first-in first-out order. See

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

tf.cholesky(input, name=None) Computes the Cholesky decomposition of one or more square matrices. The

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tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.clone()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.clone(name=None, **dist_args)

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