tf.contrib.distributions.Normal.is_continuous

tf.TFRecordReader.reader_ref Op that implements the reader.

tf.contrib.distributions.WishartFull.scale_operator_pd Wishart distribution scale matrix as an OperatorPD.

tf.contrib.distributions.MultivariateNormalCholesky.pmf(value, name='pmf') Probability mass function. Args: value: float or double Tensor. name: The name to give this op. Returns: pmf: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype. Raises: TypeError: if is_continuous.

tf.contrib.distributions.Beta.variance(name='variance') Variance.

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.input_dict

tf.FixedLenSequenceFeature.allow_missing Alias for field number 2

tf.SparseTensorValue.__repr__() Return a nicely formatted representation string

tf.contrib.distributions.StudentT.df Degrees of freedom in these Student's t distribution(s).

void tensorflow::Tensor::UnsafeCopyFromInternal(const Tensor &, const TensorShape &) Copy the other tensor into this tensor and reshape it and reinterpret the buffer's datatype. This tensor shares other's underlying storage.