tf.contrib.graph_editor.op_type()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.op_type(op_types, op=None) Check if an op is of the given type. Args:

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

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

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

class tf.errors.InvalidArgumentError Raised when an operation receives an invalid argument. This

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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.bayesflow.stochastic_tensor.StochasticTensor.graph
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.graph

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tf.contrib.rnn.GRUBlockCell.zero_state()
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.GRUBlockCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

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tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.entropy()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.entropy(name='entropy')

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tf.contrib.learn.TensorFlowEstimator.predict()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.TensorFlowEstimator.predict(x, axis=1, batch_size=None) Predict class or regression for x.

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

tf.diag(diagonal, name=None) Returns a diagonal tensor with a given diagonal values. Given a

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

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.entropy(name='entropy')

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