## ---- echo=FALSE-------------------------------------------------------------- ## block with some startup/background objects functions library(umap) iris.colors <- c("#ff7f00", "#e377c2", "#17becf") plot.iris <- function(x, labels, main="A UMAP visualization of the Iris dataset", pad=0.02, cex=0.65, pch=19, cex.main=1, cex.legend=1) { layout <- x$layout par(mar=c(0.2,0.7,1.2,0.7), ps=10) xylim <- range(layout) xylim <- xylim + ((xylim[2]-xylim[1])*pad)*c(-0.5, 0.5) plot(xylim, xylim, type="n", axes=F, frame=F) xylim <- par()$usr rect(xylim[1], xylim[1], xylim[2], xylim[2], border="#aaaaaa", lwd=0.2) points(layout[,1], layout[,2], col=iris.colors[as.integer(labels)], cex=cex, pch=pch) mtext(side=3, main, cex=cex.main) labels.u <- unique(labels) legend("topright", legend=as.character(labels.u), col=iris.colors[as.integer(labels.u)], bty="n", pch=pch, cex=cex.legend) } set.seed(123456) ## ----------------------------------------------------------------------------- library(umap) iris.data <- iris[, grep("Sepal|Petal", colnames(iris))] ## ----umap.learn, eval=FALSE--------------------------------------------------- # library(reticulate) # iris.umap_learn <- umap(iris.data, method="umap-learn") ## ----defaults, eval=FALSE----------------------------------------------------- # umap.defaults ## ----defaults2, eval=TRUE, echo=FALSE, collapse=TRUE-------------------------- umap.defaults ## ----umap.learn.config, eval=FALSE-------------------------------------------- # iris.umap_learn$config ## ----iris.foo, eval=FALSE----------------------------------------------------- # ## (not evaluated in vignette) # iris.foo <- umap(iris.data, method="umap-learn", foo=4, n_epochs=100) # iris.foo$config ## ----iris.custom, eval=FALSE-------------------------------------------------- # ## (not evaluated in vignette) # iris.custom <- umap(iris.data, method="umap-learn", # umap_learn_args=c("n_neighbors", "n_epochs")) # iris.custom$config ## ----------------------------------------------------------------------------- sessionInfo()