tf.contrib.distributions.StudentT.mean()

tf.contrib.distributions.StudentT.mean(name='mean')

Mean.

Additional documentation from StudentT:

The mean of Student's T equals mu if df > 1, otherwise it is NaN. If self.allow_nan_stats=True, then an exception will be raised rather than returning NaN.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.distributions.html#StudentT.mean

doc_TensorFlow

2025-01-10 15:47:30

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tf.contrib.distributions.StudentT class tf.contrib.distributions.StudentT Student's t distribution with degree-of-freedom parameter df.

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

tf.contrib.distributions.StudentT.sample() tf.contrib.distributions.StudentT.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape. Note that a call to sam

tf.contrib.distributions.StudentT.parameters tf.contrib.distributions.StudentT.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.StudentT.__init__() tf.contrib.distributions.StudentT.__init__(df, mu, sigma, validate_args=False, allow_nan_stats=True, name='StudentT') Construct Student's t distribu