layer_pairwise_rmse: Create Pairwise Layer

In tpq/caress: Caress, a Gentler Introduction to Keras

Description

This function computes all pairwise residuals in the final dimension of a tensor. For example, if the tensor has the dimensions (2, 3, 4), this function will return a tensor with the dimensions (2, 3, 1). The element (2, 3, 1) would contain the RMSE from the input SQRT(MEAN(((2, 3, i) - (2, 3, j))^2)).

Usage

layer_pairwise_rmse(object, name = NULL)

Arguments

object	The incoming layer.
name	A string. The prefix label for all layers.

Value

A layer of the root mean square error.

tpq/caress documentation built on March 11, 2021, 8:03 p.m.