tf.contrib.learn.monitors.GraphDump.set_estimator()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.GraphDump.set_estimator(estimator) A setter called automatically by the target estimator.

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tensorflow::TensorShape::AsProto()
  • References/Big Data/TensorFlow/TensorFlow C++/TensorShape

void tensorflow::TensorShape::AsProto(TensorShapeProto *proto) const Fill *proto from *this.

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

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

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

tf.contrib.distributions.Bernoulli.name Name prepended to all ops created by this Distribution.

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tensorflow::Status::operator=()
  • References/Big Data/TensorFlow/TensorFlow C++/Status

void tensorflow::Status::operator=(const Status &s)

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tensorflow::Status::code()
  • References/Big Data/TensorFlow/TensorFlow C++/Status

tensorflow::error::Code tensorflow::Status::code() const

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

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

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sigma Scaling factors of these Student's t distribution(s).

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

tf.where(input, name=None) Returns locations of true values in a boolean tensor. This operation

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

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.dtype The DType of Tensors handled by this

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