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

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

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

tf.contrib.graph_editor.check_cios(control_inputs=False, control_outputs=None, control_ios=None) Do various check on control_inputs

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

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

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tf.contrib.bayesflow.stochastic_tensor.NormalTensor.graph
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.graph

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

tf.contrib.distributions.Poisson.pdf(value, name='pdf') Probability density function. Args:

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tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.input_dict
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.input_dict

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tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.input_dict
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.input_dict

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

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

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tf.contrib.metrics.streaming_specificity_at_sensitivity()
  • References/Big Data/TensorFlow/TensorFlow Python/Metrics

tf.contrib.metrics.streaming_specificity_at_sensitivity(predictions, labels, sensitivity, weights=None, num_thresholds=200, metrics_collections=None, updates_collections=None

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

tf.add_n(inputs, name=None) Adds all input tensors element-wise. Args:

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