tf.contrib.distributions.Chi2.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2.mean(name='mean') Mean.

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Ops
  • References/Big Data/TensorFlow/TensorFlow Python/Metrics

Contents Metrics (contrib)Ops for evaluation metrics and summary statistics.API Metric Ops tf

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

tf.RandomShuffleQueue.__init__(capacity, min_after_dequeue, dtypes, shapes=None, names=None, seed=None, shared_name=None, name='random_shuffle_queue')

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

tf.contrib.distributions.Chi2WithAbsDf.variance(name='variance') Variance.

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tf.contrib.training.NextQueuedSequenceBatch.total_length
  • References/Big Data/TensorFlow/TensorFlow Python/Training

tf.contrib.training.NextQueuedSequenceBatch.total_length The lengths of the original (non-truncated) unrolled examples.

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tf.contrib.distributions.Normal.cdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.mean(name='mean')

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tf.contrib.distributions.DirichletMultinomial.sample()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.DirichletMultinomial.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified

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tf.contrib.training.NextQueuedSequenceBatch.sequence_count
  • References/Big Data/TensorFlow/TensorFlow Python/Training

tf.contrib.training.NextQueuedSequenceBatch.sequence_count An int32 vector, length batch_size: the sequence count

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tf.sparse_split()
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.sparse_split(split_dim, num_split, sp_input, name=None) Split a SparseTensor into num_split tensors

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