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tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.df

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.df

Degrees of freedom in these Student's t distribution(s).

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.distributions.html#StudentTWithAbsDfSoftplusSigma.df

doc_TensorFlow

2025-01-10 15:47:30

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tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma class tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma StudentT with df = floor(abs(df)) and sigma = softplus(sigma).

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.name tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sample() tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape. N

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.pmf() tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.pmf(value, name='pmf') Probability mass function. Args: value: float or double Tensor. nam