TODO: args, et finir tests; relancer

[epclust.git] / TODO

diff --git a/TODO b/TODO
index 275c10d..53a82b3 100644 (file)
--- a/TODO
+++ b/TODO
@@ -38,3 +38,35 @@ utiliser Rcpp ?
 #      x <- x / sqrt(rowSums(x^2))
 #      x %*% t(x)
 #}
+
+#TODO: soften condition clustering.R line 37 ?
+#regarder mapply et mcmapply pour le // (pas OK pour Windows ou GUI... mais ?)
+#TODO: map-reduce more appropriate R/clustering.R ligne 88
+#Alternative: use bigmemory to share series when CSV or matrix(...)
+
+#' @importFrom synchronicity boost.mutex lock unlock
+
+subtree: epclust, shared. This root folder should remain private
+
+#TODO: use dbs(),
+               #https://www.r-bloggers.com/debugging-parallel-code-with-dbs/
+               #http://gforge.se/2015/02/how-to-go-parallel-in-r-basics-tips/
+
+synchrones --> somme, pas moyenne
+
+PLOT:
+plot manifold 2D distances WER /
+fenetre tempo forme des courbes /
+medoids /
+gain en prevision: clust puis full --> enercast
+
+réduire taille 17519 trop long ?
+
+synchrone : sum
+cwt : trim R part
+// : clever by rows retenir cwt...
+
+Stockage matrices : en colonnes systématiquement ?
+
+TODO: revoir les arguments, simplifier (dans les clustering...),
+  permettre algos de clustering quelconques, args: medoids (curves puis dists), K