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tf.contrib.distributions.BernoulliWithSigmoidP.parameters

tf.contrib.distributions.BernoulliWithSigmoidP.parameters

Dictionary of parameters used by this Distribution.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.distributions.html#BernoulliWithSigmoidP.parameters

doc_TensorFlow

2016-10-14 12:45:48

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tf.contrib.distributions.BernoulliWithSigmoidP class tf.contrib.distributions.BernoulliWithSigmoidP Bernoulli with p = sigmoid(p).

tf.contrib.distributions.BernoulliWithSigmoidP.mode() tf.contrib.distributions.BernoulliWithSigmoidP.mode(name='mode') Mode. Additional documentation from Bernoulli: Returns 1 if p > 1-p and 0 otherw

tf.contrib.distributions.BernoulliWithSigmoidP.logits tf.contrib.distributions.BernoulliWithSigmoidP.logits

tf.contrib.distributions.BernoulliWithSigmoidP.std() tf.contrib.distributions.BernoulliWithSigmoidP.std(name='std') Standard deviation.

tf.contrib.distributions.BernoulliWithSigmoidP.cdf() tf.contrib.distributions.BernoulliWithSigmoidP.cdf(value, name='cdf') Cumulative distribution function. Given random variable X, the cumulative dist