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

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

2025-01-10 15:47:30
tf.contrib.distributions.Chi2WithAbsDf.pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2WithAbsDf.pmf(value, name='pmf') Probability mass function. Args:

2025-01-10 15:47:30
tf.contrib.distributions.WishartCholesky.cholesky_input_output_matrices
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.WishartCholesky.cholesky_input_output_matrices Boolean indicating if Tensor input/outputs

2025-01-10 15:47:30
tf.contrib.learn.monitors.ExportMonitor
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

class tf.contrib.learn.monitors.ExportMonitor Monitor that exports Estimator every N steps.

2025-01-10 15:47:30
tf.contrib.graph_editor.placeholder_name()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.placeholder_name(t=None, scope=None) Create placeholder name for tjhe graph editor.

2025-01-10 15:47:30
tf.contrib.layers.repeat()
  • References/Big Data/TensorFlow/TensorFlow Python/Layers

tf.contrib.layers.repeat(inputs, repetitions, layer, *args, **kwargs) Applies the same layer with the same arguments repeatedly

2025-01-10 15:47:30
tf.contrib.learn.LinearClassifier.get_variable_names()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.LinearClassifier.get_variable_names()

2025-01-10 15:47:30
tf.assert_greater_equal()
  • References/Big Data/TensorFlow/TensorFlow Python/Asserts and boolean checks.

tf.assert_greater_equal(x, y, data=None, summarize=None, message=None, name=None) Assert the condition x >= y

2025-01-10 15:47:30
tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.distribution
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.distribution

2025-01-10 15:47:30
tf.errors.NotFoundError
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

class tf.errors.NotFoundError Raised when a requested entity (e.g., a file or directory) was not found. For

2025-01-10 15:47:30