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

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

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

tf.contrib.distributions.Mixture.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.allow_nan_stats Python boolean describing behavior when a stat

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

tf.contrib.learn.monitors.ValidationMonitor.every_n_step_begin(step) Callback before every n'th step begins.

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

tf.contrib.distributions.BernoulliWithSigmoidP.entropy(name='entropy') Shanon entropy in nats.

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.nn.rnn_cell.MultiRNNCell.
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

tf.nn.rnn_cell.MultiRNNCell.__init__(cells, state_is_tuple=True) Create a RNN cell composed sequentially of a number of RNNCells

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

tf.contrib.distributions.Distribution.survival_function(value, name='survival_function') Survival function.

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

tf.contrib.distributions.WishartCholesky.log_prob(value, name='log_prob') Log probability density/mass function (depending on

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

tf.contrib.distributions.InverseGamma.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a

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