tf.contrib.distributions.Exponential.variance()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Exponential.variance(name='variance') Variance.

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

tf.contrib.distributions.Gamma.log_survival_function(value, name='log_survival_function') Log survival function.

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

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

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

tf.contrib.learn.monitors.NanLoss.run_on_all_workers

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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.nn.rnn_cell.MultiRNNCell.zero_state()
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

tf.nn.rnn_cell.MultiRNNCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

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tf.errors.InternalError.
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

tf.errors.InternalError.__init__(node_def, op, message) Creates an InternalError.

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

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

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tf.contrib.distributions.BetaWithSoftplusAB.batch_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.BetaWithSoftplusAB.batch_shape(name='batch_shape') Shape of a single sample from a single event index

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

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

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