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Create a random variable for StudentT.
tfp.edward2.StudentT( *args, **kwargs )
See StudentT for more details.
Original Docstring for Distribution
Construct Student's t distributions.
The distributions have degree of freedom
loc, and scale
scale must be shaped in a way that
supports broadcasting (e.g.
df + loc + scale is a valid operation).
Tensor. The degrees of freedom of the distribution(s).
dfmust contain only positive values.
Tensor. The mean(s) of the distribution(s).
Tensor. The scaling factor(s) for the distribution(s). Note that
scaleis not technically the standard deviation of this distribution but has semantics more similar to standard deviation than variance.
Truedistribution parameters are checked for validity despite possibly degrading runtime performance. When
Falseinvalid inputs may silently render incorrect outputs.
True, statistics (e.g., mean, mode, variance) use the value '
NaN' to indicate the result is undefined. When
False, an exception is raised if one or more of the statistic's batch members are undefined.
strname prefixed to Ops created by this class.
TypeError: if loc and scale are different dtypes.