Lines Matching defs:scale
47 * `scale = Sigma`; a lower-triangular matrix in `R^{k x k}`,
54 The VectorStudentT distribution is a member of the [location-scale family](
59 X ~ StudentT(df, loc=0, scale=1)
60 Y = loc + scale * X
63 Notice that the `scale` matrix has semantics closer to std. deviation than
89 vector of length `k` and a scale matrix of shape `k x k`.
119 For more examples of how to construct the `scale` matrix, see the
152 scale_diag=scale_tril = None` then `scale += IdentityMatrix`. Otherwise
153 no scaled-identity-matrix is added to `scale`.
156 diagonal matrix. When `None` no diagonal term is added to `scale`.
160 `scale`. The upper triangular elements above the diagonal are ignored.
163 update is added to `scale`.
210 scale=array_ops.ones([], dtype=affine.dtype))
213 affine.shift, affine.scale))
238 def scale(self):
240 return self.bijector.scale