Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from http://cran.rstudio.com/web/packages/Rcpp/../binsegRcpp/../ggplot2/../trackopt/readme/README.html below:

README

The {trackopt} package tracks parameter values, gradients, and Hessians at each iteration of numerical optimizers in R. This can be useful for analyzing optimization progress, diagnosing issues, and studying convergence behavior.

You can install the released package version from CRAN with:

install.packages("trackopt")

The following is the nlm minimization track of the Himmelblau’s function:

library("trackopt")
himmelblau <- function(x) (x[1]^2 + x[2] - 11)^2 + (x[1] + x[2]^2 - 7)^2
track <- nlm_track(f = himmelblau, p = c(0, 0))
print(track)
#> # A tibble: 17 × 7
#>    iteration         value     step parameter gradient  hessian        seconds
#>  *     <dbl>         <dbl>    <dbl> <list>    <list>    <list>           <dbl>
#>  1         0 170            0       <dbl [2]> <dbl [1]> <dbl [1]>     0       
#>  2         1  47.4         -1.23e+2 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.0247  
#>  3         2  14.0         -3.34e+1 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.00119 
#>  4         3   4.91        -9.08e+0 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.00122 
#>  5         4   2.26        -2.65e+0 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.00127 
#>  6         5   0.951       -1.31e+0 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.00110 
#>  7         6   0.272       -6.79e-1 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.00102 
#>  8         7   0.0650      -2.07e-1 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.000993
#>  9         8   0.0168      -4.82e-2 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.000989
#> 10         9   0.00400     -1.28e-2 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.000997
#> 11        10   0.000948    -3.06e-3 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.000997
#> 12        11   0.000221    -7.28e-4 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.00100 
#> 13        12   0.0000512   -1.69e-4 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.00107 
#> 14        13   0.0000118   -3.94e-5 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.00100 
#> 15        14   0.00000275  -9.05e-6 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.00101 
#> 16        15   0.000000628 -2.13e-6 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.00166 
#> 17        16   0.000000152 -4.76e-7 <dbl [2]> <dbl [2]> <dbl [2 × 2]> 0.00102
summary(track)
#> Iterations: 16
#> Function improvement: 170 -> 1.521e-07
#> Computation time: 0.04125 seconds
#> Initial parameter: 0, 0
#> Final parameter: 3, 2
ggplot2::autoplot(track)

The following is the optim maximization track of the Beta-PDF:

optim_track(
  f = dbeta, p = 0, lower = 0, upper = 1, shape1 = 4, shape2 = 2, method = "Brent", minimize = FALSE
) |> ggplot2::autoplot()

If you have any questions, found a bug, need a feature, just file an issue on GitHub.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4