neuster Stand
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+5
-6
@@ -7,9 +7,9 @@ source(here::here("R", "build_network.R"))
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# Helper functions -------------------------------------------------------------
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# helper function for wrapping the parameters of the Q_a creation function
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# TODO rename this function
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make_matrix_creation <- function(seed, n, K, matrix_X, fv, Fv, guard) {
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make_matrix_creation <- function(seed, n, K, matrix_X, fv, Fv, guard, fX=NULL) {
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function(a) {
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compute_matrix(seed=seed, a, n=n, K=K, matrix_X = matrix_X, fv=fv, Fv=Fv, guard=guard)
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compute_matrix(seed=seed, a, n=n, K=K, matrix_X = matrix_X, fv=fv, Fv=Fv, guard=guard, fX=fX)
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}
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}
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@@ -200,7 +200,7 @@ calculate_edge_density <- function(adj_matrix) {
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return(rho)
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}
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# test the estimator routines
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seed <- 17L # 121L this seed works exceptionally well
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seed <- 121L # 121L this seed works exceptionally well
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set.seed(seed)
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#X <- matrix(seq(-1, 1, length.out = 5), ncol = 1)
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a <- 20
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@@ -226,8 +226,8 @@ adj
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# Q_a matrix
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Qa <- compute_matrix(seed, a=a, n=n, K=K, fv=fv, Fv=Fv, guard=guard, matrix_X=X)
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calc_Q_a <- make_matrix_creation(seed, n=n, K=K, matrix_X = X, fv=fv, Fv=Fv, guard=guard)
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Qa2 <- compute_matrix(seed, a=a, n=n, K=K, fv=fv, Fv=Fv, guard=guard, matrix_X =X, fX= dnorm)
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calc_Q_a <- make_matrix_creation(seed, n=n, K=K, matrix_X = X, fv=fv, Fv=Fv, guard=guard, fX=dnorm)
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loss_func <- function(a) {
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Q_a <- calc_Q_a(a)
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@@ -236,7 +236,6 @@ loss_func <- function(a) {
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norm(pinv_Qa %*% Q_a %*% adj %*% pinv_Qa %*% Q_a - adj, type="F")^2
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}
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plot_as <- seq(-10, 100, length.out=500)
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loss_vals <- sapply(plot_as, loss_func)
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plot(plot_as , loss_vals, type="b")
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