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  • References
  • Big Data
  • TensorFlow
  • TensorFlow Python
  • Statistical distributions

tf.contrib.distributions.Normal.cdf()

tf.contrib.distributions.Normal.cdf(value, name='cdf')

Cumulative distribution function.

Given random variable X, the cumulative distribution function cdf is:

cdf(x) := P[X <= x]
Args:
  • value: float or double Tensor.
  • name: The name to give this op.
Returns:
  • cdf: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype.
Links:
  • https://www.tensorflow.org/versions/master/api_docs/python/contrib.distributions.html#Normal.cdf
doc_TensorFlow
doc_TensorFlow
2025-01-10 15:47:30
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Popular Articles
tf.contrib.distributions.Normal class tf.contrib.distributions.Normal The scalar Normal distribution with mean and stddev parameters mu, sigma.
tf.contrib.distributions.Normal.log_cdf() tf.contrib.distributions.Normal.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given random variable X, the cumulative distrib
tf.contrib.distributions.Normal.dtype tf.contrib.distributions.Normal.dtype The DType of Tensors handled by this Distribution.
tf.contrib.distributions.Normal.name tf.contrib.distributions.Normal.name Name prepended to all ops created by this Distribution.
tf.contrib.distributions.Normal.std() tf.contrib.distributions.Normal.std(name='std') Standard deviation.


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