tfp.stats.log_loomean_exp

Computes the log-leave-one-out-mean of exp(logx).

tfp.stats.log_loomean_exp(
    logx, axis, keepdims=False, name=None
)

Args
logx	Floating-type Tensor representing log(x) where x is some positive value.
axis	The dimensions to sum across. If None (the default), reduces all dimensions. Must be in the range [-rank(logx), rank(logx)]. Default value: None (i.e., reduce over all dims).
keepdims	If true, retains reduced dimensions with length 1. Default value: False (i.e., keep all dims in log_mean_x).
name	Python str name prefixed to Ops created by this function. Default value: None (i.e., "log_loomean_exp").

Returns
log_loomean_exp	Tensor with same shape and dtype as logx representing the natural-log of the mean of exp(logx) except that the element logx[i] is removed.
log_mean_x	logx.dtype Tensor corresponding to the natural-log of the arithmetic mean of x. Has reduced shape of logx (per axis and keepdims).