flash_verbose_max_chg_F: Display the maximum difference in scaled factors

In flashier: Empirical Bayes Matrix Factorization

Display the maximum difference in scaled factors

Description

Displays the maximum (absolute) change over all (posterior expected values for) factors f_{jk}. At each iteration, the factors f_{\cdot 1}, \ldots, f_{\cdot K} are L^2-normalized.

Usage

flash_verbose_max_chg_F(curr, prev, k)

Arguments

curr	The flash_fit object from the current iteration.
prev	The flash_fit object from the previous iteration.
k	Only used during sequential backfits (that is, calls to flash_backfit where extrapolate = FALSE). It then takes the index of the factor/loadings pair currently being optimized.

Details

This function is an example of a function that may be passed to parameter fns in function flash_set_verbose to customize the output that is printed after each greedy or backfitting iteration. See flash_set_verbose for details and examples.

Value

A character string, suitable for printing progress updates.

See Also

flash_verbose_elbo, flash_verbose_elbo_diff, flash_verbose_max_chg, flash_verbose_max_chg_L

flashier documentation built on Oct. 17, 2023, 5:07 p.m.