`StudentTWithAbsDfSoftplusSigmaTensor` is a `StochasticTensor` backed by the distribution `StudentTWithAbsDfSoftplusSigma`.
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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)` {#StudentTWithAbsDfSoftplusSigmaTensor.__init__}




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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.clone(name=None, **dist_args)` {#StudentTWithAbsDfSoftplusSigmaTensor.clone}




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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.distribution` {#StudentTWithAbsDfSoftplusSigmaTensor.distribution}




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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.dtype` {#StudentTWithAbsDfSoftplusSigmaTensor.dtype}




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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.entropy(name='entropy')` {#StudentTWithAbsDfSoftplusSigmaTensor.entropy}




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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.graph` {#StudentTWithAbsDfSoftplusSigmaTensor.graph}




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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.input_dict` {#StudentTWithAbsDfSoftplusSigmaTensor.input_dict}




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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.loss(final_loss, name='Loss')` {#StudentTWithAbsDfSoftplusSigmaTensor.loss}




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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.mean(name='mean')` {#StudentTWithAbsDfSoftplusSigmaTensor.mean}




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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.name` {#StudentTWithAbsDfSoftplusSigmaTensor.name}




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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.value(name='value')` {#StudentTWithAbsDfSoftplusSigmaTensor.value}




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#### `tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.value_type` {#StudentTWithAbsDfSoftplusSigmaTensor.value_type}




