tf.contrib.distributions.MultivariateNormalFull.pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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

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

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

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

2025-01-10 15:47:30
tf.nn.rnn_cell.BasicLSTMCell.state_size
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

tf.nn.rnn_cell.BasicLSTMCell.state_size

2025-01-10 15:47:30
tf.erf()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.erf(x, name=None) Computes the Gauss error function of x element-wise. Args:

2025-01-10 15:47:30
tensorflow::Env::RegisterFileSystem()
  • References/Big Data/TensorFlow/TensorFlow C++/Env

Status tensorflow::Env::RegisterFileSystem(const string &scheme, FileSystemRegistry::Factory factory)

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.IdentityReader
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

class tf.IdentityReader A Reader that outputs the queued work as both the key and value. To use

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

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

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

tf.contrib.learn.DNNClassifier.fit(x=None, y=None, input_fn=None, steps=None, batch_size=None, monitors=None, max_steps=None) See

2025-01-10 15:47:30