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10
.gitignore
vendored
@@ -24,4 +24,12 @@ Baudelaire_len_32.p
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NoticeTechnique_files
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.posit
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renv
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renv
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results/
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results_stage_1/
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results_stage_2/
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*.safetensors
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*.pt
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*.pth
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*.bin
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@@ -1,208 +0,0 @@
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{
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"cells": [
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{
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"id": "8226e658",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "7e95cb09",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"type": "float"
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{
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"name": "Y",
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"type": "float"
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"ref": "018727a2-2342-424f-8395-021f40817c5a",
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" </tr>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" X1 X2 Y\n",
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"0 -0.836354 4.520502 -19.868094\n",
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"1 0.402008 3.252834 -10.465985\n",
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"data = pd.read_excel(\"./data/data_pdp.xlsx\")\n",
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"data.head()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "4e9a9a97",
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"metadata": {},
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"outputs": [],
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"source": [
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"def partial_dependant_function(data: pd.DataFrame, model: object, feature: str, grid_points: list) -> list:\n",
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" \"\"\"Compute the Partial Dependence Plot (PDP) for a given feature.\"\"\"\n",
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" pdp = []\n",
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" for val in grid_points:\n",
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" data_temp = data.copy()\n",
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" data_temp[feature] = val\n",
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" preds = model.predict(data_temp)\n",
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" pdp.append(preds.mean())\n",
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" return pdp"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"kernelspec": {
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615
M2/Advanced Machine Learning/TP1/TP1.ipynb
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M2/Advanced Machine Learning/TP1/question1_correlation_plots.png
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M2/Advanced Machine Learning/TP1/question2_pdp_plots.png
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M2/Advanced Machine Learning/TP1/question3_model_plots.png
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M2/Advanced Machine Learning/TP2/TP2.ipynb
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M2/Advanced Machine Learning/TP2/TP_ACE.pdf
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M2/Advanced Machine Learning/TP2/perf_circle.csv
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237;8.5
|
||||
239;8.2
|
||||
241;7.5
|
||||
242;7.2
|
||||
244;8.3
|
||||
245;8.5
|
||||
246;8.7
|
||||
250;8.8
|
||||
252;8.4
|
||||
254;8.4
|
||||
255;8.9
|
||||
258;8.3
|
||||
259;8.5
|
||||
260;9
|
||||
265;8.2
|
||||
269;8.6
|
||||
271;8
|
||||
274;8.8
|
||||
275;8.7
|
||||
276;8.6
|
||||
282;8.8
|
||||
283;9.3
|
||||
287;8.4
|
||||
290;8.6
|
||||
291;8.8
|
||||
292;9.3
|
||||
298;9.9
|
||||
301;9.6
|
||||
304;8
|
||||
306;10.6
|
||||
309;8.9
|
||||
310;8.7
|
||||
311;8.3
|
||||
313;7.6
|
||||
315;6.9
|
||||
316;6.3
|
||||
318;9.1
|
||||
321;6.8
|
||||
322;6.4
|
||||
324;6.9
|
||||
326;6.5
|
||||
331;7.5
|
||||
335;7.1
|
||||
337;7.1
|
||||
339;6.8
|
||||
341;6.6
|
||||
342;6.1
|
||||
343;6.7
|
||||
345;6.6
|
||||
346;5.7
|
||||
347;6.7
|
||||
348;7.1
|
||||
349;6.7
|
||||
351;6.7
|
||||
352;6.4
|
||||
355;6.2
|
||||
356;6.2
|
||||
357;6.4
|
||||
359;6.8
|
||||
366;6.4
|
||||
367;7.4
|
||||
368;7.4
|
||||
369;7.5
|
||||
370;7.2
|
||||
374;6.8
|
||||
378;5.8
|
||||
379;6.4
|
||||
381;5.9
|
||||
382;5.2
|
||||
386;4.7
|
||||
389;4.8
|
||||
392;4.8
|
||||
393;4.5
|
||||
394;5
|
||||
396;4.9
|
||||
399;4.5
|
||||
400;4.6
|
||||
402;4.2
|
||||
403;4.8
|
||||
406;5
|
||||
407;4.5
|
||||
411;7
|
||||
412;3.4
|
||||
413;4.1
|
||||
415;6.1
|
||||
416;5.8
|
||||
419;6.5
|
||||
420;6.4
|
||||
425;5.7
|
||||
427;5.5
|
||||
430;5.3
|
||||
431;5.8
|
||||
432;5.6
|
||||
433;6.3
|
||||
435;5.2
|
||||
438;5.4
|
||||
439;5
|
||||
443;5.3
|
||||
445;5.3
|
||||
446;5.2
|
||||
449;4.1
|
||||
450;6.9
|
||||
451;3.7
|
||||
452;3.4
|
||||
453;3.6
|
||||
455;3.5
|
||||
456;2.9
|
||||
459;2.7
|
||||
460;3.1
|
||||
462;3.7
|
||||
463;4.2
|
||||
465;4.2
|
||||
466;4
|
||||
467;3.8
|
||||
468;4
|
||||
469;3.4
|
||||
470;3.6
|
||||
475;3.7
|
||||
478;4.2
|
||||
482;3.4
|
||||
483;3.5
|
||||
485;3.1
|
||||
486;3.6
|
||||
492;5.5
|
||||
494;3.8
|
||||
496;5.5
|
||||
498;6.4
|
||||
500;5.5
|
||||
502;6.8
|
||||
503;8.2
|
||||
506;4.9
|
||||
508;5.4
|
||||
510;5.9
|
||||
514;6.4
|
||||
522;7.1
|
||||
524;7.6
|
||||
525;7
|
||||
527;6.9
|
||||
529;7.3
|
||||
533;7
|
||||
534;7.8
|
||||
536;8
|
||||
539;8.8
|
||||
540;9.1
|
||||
541;8.2
|
||||
542;8
|
||||
544;8.8
|
||||
545;9.7
|
||||
546;12
|
||||
547;6.3
|
||||
548;5.8
|
||||
556;6.3
|
||||
558;6.4
|
||||
562;7.4
|
||||
563;7.4
|
||||
566;7.2
|
||||
567;7.4
|
||||
573;7.4
|
||||
|
1505
M2/Clustering In Practice/TP3.ipynb
Normal file
185
M2/Clustering In Practice/compression_image.R
Normal file
@@ -0,0 +1,185 @@
|
||||
# Objectifs pédagogiques
|
||||
# Comprendre la représentation matricielle d'une image.
|
||||
# Interpréter les centroïdes comme une palette de couleurs optimale (résumé).
|
||||
# Analyser le compromis entre distorsion (perte de qualité) et taux de compression.
|
||||
|
||||
library(jpeg)
|
||||
|
||||
# 1. Chargement de l'image
|
||||
|
||||
img <- readJPEG("./data/PampasGrass.jpg")
|
||||
|
||||
# Dimensions
|
||||
dims <- dim(img)
|
||||
dims
|
||||
|
||||
# Reshaping : Transformation en matrice (Pixels x 3 canaux)
|
||||
# Chaque ligne est une observation dans R^3
|
||||
img_matrix <- matrix(img, ncol = 3)
|
||||
colnames(img_matrix) <- c("R", "G", "B")
|
||||
|
||||
head(img_matrix)
|
||||
|
||||
# 2. Application de l'algorithme K-means
|
||||
# Choix du nombre de couleurs (k)
|
||||
k <- 8
|
||||
|
||||
# Application de K-means
|
||||
# On augmente iter.max car la convergence sur des milliers de pixels peut être lente
|
||||
set.seed(123)
|
||||
km_model <- kmeans(img_matrix, centers = k, iter.max = 20, nstart = 3)
|
||||
|
||||
# Les "résumés" de l'information (les centres des clusters)
|
||||
palette_optimale <- km_model$centers
|
||||
print(palette_optimale)
|
||||
|
||||
# 3. Reconstruction de l'image compressée
|
||||
# Associer chaque pixel à son centroïde
|
||||
img_compressed_matrix <- palette_optimale[km_model$cluster, ]
|
||||
|
||||
# Re-transformer la matrice en Array 3D
|
||||
img_compressed <- array(img_compressed_matrix, dim = dims)
|
||||
|
||||
# Affichage comparatif
|
||||
par(mfrow = c(1, 2), mar = c(1, 1, 1, 1))
|
||||
plot(0, 0, type='n', axes=FALSE, ann=FALSE)
|
||||
rasterImage(img, -1, -1, 1, 1)
|
||||
title("Originale (Millions de couleurs)")
|
||||
|
||||
plot(0, 0, type='n', axes=FALSE, ann=FALSE)
|
||||
rasterImage(img_compressed, -1, -1, 1, 1)
|
||||
title(paste("Compressée (k =", k, ")"))
|
||||
|
||||
# 4. Questions : coût de l'information (Distorsion)
|
||||
# Calculez l'erreur quadratique moyenne (MSE) entre l'image originale et
|
||||
# l'image compressée :
|
||||
# Plus $k$ est petit, plus le résumé est ..., plus le MSE .....
|
||||
|
||||
library(imager)
|
||||
|
||||
|
||||
mse_imager <- function(img1, img2) {
|
||||
# Harmoniser dimensions (recadrage ou redimensionnement si besoin)
|
||||
if (!all(dim(img1) == dim(img2))) {
|
||||
# Ici, on redimensionne img2 sur la taille d'img1
|
||||
img2 <- imresize(img2, size_x = width(img1), size_y = height(img1))
|
||||
if (spectrum(img2) != spectrum(img1)) {
|
||||
img2 <- grayscale(img2) # fallback simple si nb de canaux diffère
|
||||
img1 <- grayscale(img1)
|
||||
}
|
||||
}
|
||||
# Convertir en vecteurs numériques [0,1]
|
||||
x <- as.numeric(img1)
|
||||
y <- as.numeric(img2)
|
||||
mean((x - y)^2)
|
||||
}
|
||||
|
||||
|
||||
mse_val <- mse_imager(img, img_compressed)
|
||||
cat("MSE =", mse_val, "\n")
|
||||
|
||||
mse_matrix <- mean((img_matrix - img_compressed_matrix)^2)
|
||||
cat("MSE =", mse_matrix, "\n")
|
||||
|
||||
########################################################################
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# Règle du coude (Elbow Method)
|
||||
# tracez l'évolution de la Within-Cluster Sum of Squares (WCSS) en fonction de $k$
|
||||
# Prnde k = 2 à 32
|
||||
# A partir de quel $k$ le gain visuel devient-il négligeable pour l'œil humain ?
|
||||
|
||||
|
||||
|
||||
# X : matrice/df n x d
|
||||
# ks : valeurs de k à tester (par défaut 1:10)
|
||||
elbow_wss <- function(X, ks = 2:32, nstart = 10, scale_data = FALSE) {
|
||||
X <- as.matrix(X)
|
||||
if (scale_data) {
|
||||
X <- scale(X)
|
||||
}
|
||||
wss <- numeric(length(ks))
|
||||
|
||||
# Cas k = 1 : WSS = TSS (variance totale)
|
||||
total_ss <- sum(scale(X, scale = FALSE)^2) # TSS
|
||||
for (i in seq_along(ks)) {
|
||||
k <- ks[i]
|
||||
cat(" k =", k, "\n")
|
||||
if (k == 1) {
|
||||
wss[i] <- total_ss
|
||||
} else {
|
||||
set.seed(123) # reproductible
|
||||
km <- kmeans(X, centers = k, nstart = nstart, iter.max = 100)
|
||||
wss[i] <- km$tot.withinss
|
||||
}
|
||||
}
|
||||
|
||||
plot(ks, wss, type = "b", pch = 19, xlab = "Nombre de clusters (k)",
|
||||
ylab = "Inertie intra-classe (WSS)",
|
||||
main = "Méthode du coude (k-means)")
|
||||
grid()
|
||||
# invisible(data.frame(k = ks, WSS = wss))
|
||||
}
|
||||
|
||||
# Exemple d'utilisation :
|
||||
res <- elbow_wss(img_compressed, ks = 2:32, nstart = 20, scale_data = FALSE)
|
||||
|
||||
###############################################################################
|
||||
|
||||
elbow_wss_safe <- function(X, ks = 2:32, nstart = 20, scale_data = FALSE, seed = 123) {
|
||||
X <- as.matrix(X)
|
||||
if (scale_data) X <- scale(X)
|
||||
set.seed(seed)
|
||||
|
||||
# Nombre de lignes distinctes
|
||||
n_unique <- nrow(unique(X))
|
||||
if (n_unique < 2) stop("Moins de 2 points distincts : k-means n'a pas de sens.")
|
||||
|
||||
# Tronquer ks si nécessaire
|
||||
ks <- ks[ks <= n_unique]
|
||||
if (length(ks) == 0) stop("Tous les k demandés dépassent le nombre de points distincts.")
|
||||
|
||||
wss <- numeric(length(ks))
|
||||
# TSS (k = 1)
|
||||
total_ss <- sum(scale(X, scale = FALSE)^2)
|
||||
|
||||
for (i in seq_along(ks)) {
|
||||
k <- ks[i]
|
||||
cat(" k =", k, "\n")
|
||||
if (k == 1) {
|
||||
wss[i] <- total_ss
|
||||
} else {
|
||||
km <- kmeans(X, centers = k, nstart = nstart, iter.max = 100)
|
||||
wss[i] <- km$tot.withinss
|
||||
}
|
||||
}
|
||||
|
||||
plot(ks, wss, type = "b", pch = 19, xlab = "Nombre de clusters (k)",
|
||||
ylab = "Inertie intra-classe (WSS)", main = "Méthode du coude (k-means)")
|
||||
axis(1, at = ks)
|
||||
grid()
|
||||
# invisible(data.frame(k = ks, WSS = wss))
|
||||
}
|
||||
|
||||
# Exemple :
|
||||
res <- elbow_wss_safe(img_compressed, ks = 2:32, nstart = 20)
|
||||
|
||||
|
||||
|
||||
|
||||
# Taille de stockage
|
||||
# Ouvrir un fichier JPG
|
||||
jpeg("./data/image_compressed.jpg")
|
||||
|
||||
# Afficher l'image compressée dans le fichier
|
||||
plot(0, 0, type='n', axes=FALSE, ann=FALSE)
|
||||
rasterImage(img_compressed, -1, -1, 1, 1)
|
||||
|
||||
info <- file.info("./data/PampasGrass.jpg")
|
||||
(taille_octets_reelle <- info$size/1024)
|
||||
|
||||
info <- file.info("./data/image_compressed.jpg")
|
||||
(taille_octets_compresse <- info$size/1024)
|
||||
105
M2/Clustering In Practice/compression_image_poissons.R
Normal file
@@ -0,0 +1,105 @@
|
||||
# Objectifs pédagogiques
|
||||
# Comprendre la représentation matricielle d'une image.
|
||||
# Interpréter les centroïdes comme une palette de couleurs optimale (résumé).
|
||||
# Analyser le compromis entre distorsion (perte de qualité) et taux de compression.
|
||||
|
||||
library(jpeg)
|
||||
|
||||
# 1. Chargement de l'image
|
||||
|
||||
|
||||
img <- readJPEG("./data/Guppy 2.jpeg")
|
||||
|
||||
# Dimensions
|
||||
dims <- dim(img)
|
||||
dims
|
||||
|
||||
# Reshaping : Transformation en matrice (Pixels x 3 canaux)
|
||||
# Chaque ligne est une observation dans R^3
|
||||
img_matrix <- matrix(img, ncol = 3)
|
||||
colnames(img_matrix) <- c("R", "G", "B")
|
||||
|
||||
head(img_matrix)
|
||||
|
||||
# 2. Application de l'algorithme K-means
|
||||
# Choix du nombre de couleurs (k)
|
||||
k <- 10
|
||||
|
||||
# Application de K-means
|
||||
# On augmente iter.max car la convergence sur des milliers de pixels peut être lente
|
||||
set.seed(123)
|
||||
km_model <- kmeans(img_matrix, centers = k, iter.max = 20, nstart = 3)
|
||||
|
||||
# Les "résumés" de l'information (les centres des clusters)
|
||||
palette_optimale <- km_model$centers
|
||||
print(palette_optimale)
|
||||
|
||||
# 3. Reconstruction de l'image compressée
|
||||
# Associer chaque pixel à son centroïde
|
||||
img_compressed_matrix <- palette_optimale[km_model$cluster, ]
|
||||
|
||||
# Re-transformer la matrice en Array 3D
|
||||
img_compressed <- array(img_compressed_matrix, dim = dims)
|
||||
|
||||
# Affichage comparatif
|
||||
par(mfrow = c(1, 2), mar = c(1, 1, 1, 1))
|
||||
plot(0, 0, type='n', axes=FALSE, ann=FALSE)
|
||||
rasterImage(img, -1, -1, 1, 1)
|
||||
title("Originale (Millions de couleurs)")
|
||||
|
||||
plot(0, 0, type='n', axes=FALSE, ann=FALSE)
|
||||
rasterImage(img_compressed, -1, -1, 1, 1)
|
||||
title(paste("Compressée (k =", k, ")"))
|
||||
|
||||
# 4. Questions : coût de l'information (Distorsion)
|
||||
# Calculez l'erreur quadratique moyenne (MSE) entre l'image originale et
|
||||
# l'image compressée :
|
||||
# Plus $k$ est petit, plus le résumé est ..., plus le MSE .....
|
||||
|
||||
# Règle du coude (Elbow Method)
|
||||
# tracez l'évolution de la Within-Cluster Sum of Squares (WCSS) en fonction de $k$
|
||||
# Prnde k = 2 à 32
|
||||
# A partir de quel $k$ le gain visuel devient-il négligeable pour l'œil humain ?
|
||||
|
||||
# Taille de stockage
|
||||
# Ouvrir un fichier JPG
|
||||
jpeg("./data/image_compressed.jpg")
|
||||
|
||||
# Afficher l'image compressée dans le fichier
|
||||
plot(0, 0, type='n', axes=FALSE, ann=FALSE)
|
||||
rasterImage(img_compressed, -1, -1, 1, 1)
|
||||
|
||||
info <- file.info("./data/Guppy 2.jpeg")
|
||||
(taille_octets_reelle <- info$size/1024)
|
||||
|
||||
info <- file.info("./data/image_compressed.jpg")
|
||||
(taille_octets_compresse <- info$size/1024)
|
||||
|
||||
|
||||
library(colordistance)
|
||||
|
||||
repertoire <- "poissons"
|
||||
|
||||
clusters <- colordistance::getHistList(repertoire, lower = NULL, upper = NULL)
|
||||
names(clusters)
|
||||
|
||||
kmeans_fits <- getKMeansList(repertoire, bins = 3, plotting = TRUE)
|
||||
|
||||
centroids_list <- extractClusters(kmeans_fits, ordering = TRUE)
|
||||
|
||||
emd_distance_matrix <- getColorDistanceMatrix(centroids_list, method = "color.dist", ordering = TRUE)
|
||||
|
||||
colordistance::imageClusterPipeline(repertoire, cluster.method = "hist")
|
||||
|
||||
clusters
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
553
M2/Clustering In Practice/data/DataModel.csv
Normal file
@@ -0,0 +1,553 @@
|
||||
"Year","Category","Region","Dist_EQ","PCT_CHARTER","PCT_NETWORK","PCT_REGIONAL","PCT_LCC"
|
||||
2002,"NBI","AFRMY",1016.77834099741,0.0597130903899918,0.622493232142152,0.267124620948855,0.0506690565190006
|
||||
2002,"NBI","AMCS",1048.40176202633,0,0.600042338293917,0.377530799113856,0.0224268625922272
|
||||
2002,"NBI","AMN",1409.85814009492,0.0173629970840251,0.590396464468702,0.173805680475439,0.218434857971835
|
||||
2002,"NBI","ASIAUS",731.613261373554,0,0.469682218115679,0.466558289304771,0.0637594925795506
|
||||
2002,"NBI","CEI",2021.61669687385,0.101248783609204,0.33592314644564,0.353537170585854,0.209290899359302
|
||||
2002,"NBI","CHN",884.36087443162,0,0.541909244621729,0.423698368369688,0.0343923870085828
|
||||
2002,"NBI","EUR",912.423381449187,0.133168395537474,0.531242916846183,0.199587502830158,0.136001184786185
|
||||
2002,"NBI","SIN",956.879704507048,0.0219844929189212,0.878033445909996,0.0999820611710825,0
|
||||
2002,"NBL","AFRMY",1870.45081950017,0.000605076293025976,0.669678363444417,0.329716560262557,0
|
||||
2002,"NBL","AMCS",1824.96151047405,0,0.809693945741259,0.0883583183642831,0.101947735894458
|
||||
2002,"NBL","AMN",1943.97876631639,0.051832775219223,0.620556018720925,0.140872307705065,0.186738898354787
|
||||
2002,"NBL","ASIAUS",765.889004994681,0,0.72582587884237,0.222936510506108,0.0512376106515214
|
||||
2002,"NBL","CEI",4013.47097243836,0.00884521845500873,0.0328186621150331,0.90034431408971,0.0579918053402481
|
||||
2002,"NBL","CHN",1144.23746822827,0,0.452582301987532,0.504259544661241,0.0431581533512276
|
||||
2002,"NBL","EUR",1234.90303545659,0.364607796353512,0.57342178096109,0.0530094145514347,0.00896100813396302
|
||||
2002,"NBL","SIN",1735.11180609851,0,0,1,0
|
||||
2002,"NBS","AFRMY",896.194534112975,0.0307407102817188,0.573908924174224,0.394921119969798,0.000429245574259246
|
||||
2002,"NBS","AMCS",747.174211603206,0,0.529624167602986,0.412755321767577,0.0576205106294371
|
||||
2002,"NBS","AMN",988.093839351939,0.0013652968487858,0.398303810665043,0.193870598522295,0.406460293963877
|
||||
2002,"NBS","ASIAUS",742.441286377743,0,0.35286235135051,0.51736909093461,0.12976855771488
|
||||
2002,"NBS","CEI",1301.34576825985,0.157995862718028,0,0.842004137281972,0
|
||||
2002,"NBS","CHN",901.974419592352,0,0.737234338617439,0.262765661382561,0
|
||||
2002,"NBS","EUR",781.859523179824,0.034147346899082,0.419150058586784,0.289664731496763,0.257037863017371
|
||||
2002,"NBS","SIN",1093.25099049704,0,0,1,0
|
||||
2003,"NBI","AFRMY",1051.83276929881,0.0703904417993861,0.58586464219364,0.297699437447877,0.0460454785590967
|
||||
2003,"NBI","AMCS",1046.0439259395,0.000159622611484496,0.580645331548867,0.381263370019119,0.0379316758205296
|
||||
2003,"NBI","AMN",1498.83664670975,0.0319213107098393,0.556433821677094,0.166345733914352,0.245299133698715
|
||||
2003,"NBI","ASIAUS",826.321630659026,2.87414444591047e-06,0.439523953566766,0.536791058278473,0.0236821140103144
|
||||
2003,"NBI","CEI",1949.75420550375,0.0575330852873459,0.298075010313518,0.434867435136563,0.209524469262573
|
||||
2003,"NBI","CHN",909.696158854379,0,0.632284602130837,0.346134092993799,0.0215813048753633
|
||||
2003,"NBI","EUR",955.788965857104,0.132691421953644,0.522631131213971,0.173206925976766,0.171470520855619
|
||||
2003,"NBI","SIN",974.713460537252,0.0158550280722602,0.808232832813693,0.171151971208312,0.00476016790573452
|
||||
2003,"NBL","AFRMY",1751.82883955615,0.0314011459979526,0.569588576896012,0.399010277106036,0
|
||||
2003,"NBL","AMCS",1822.559822083,0,0.762943162951321,0.128930594625762,0.108126242422917
|
||||
2003,"NBL","AMN",2026.0997925162,0.0644717204234929,0.598088557608768,0.139921778028566,0.197517943939173
|
||||
2003,"NBL","ASIAUS",1328.5958565509,0,0.64457537018407,0.20320958073791,0.152215049078021
|
||||
2003,"NBL","CEI",3723.64309407328,0.00870866487367566,0.00386223143758493,0.925957583814866,0.0614715198738737
|
||||
2003,"NBL","CHN",1312.91071496536,0,0.58368766901228,0.367520784078573,0.0487915469091474
|
||||
2003,"NBL","EUR",1215.06501553753,0.302037229834171,0.579633562109029,0.113156292947753,0.00517291510904663
|
||||
2003,"NBL","SIN",1549.69043928804,0,0.207197663467606,0.792802336532394,0
|
||||
2003,"NBS","AFRMY",1020.26844457009,0.0592471603459175,0.527859936259316,0.412445373213889,0.000447530180877296
|
||||
2003,"NBS","AMCS",812.867449227247,0,0.537901975918196,0.358837838554683,0.103260185527121
|
||||
2003,"NBS","AMN",1034.07827897107,0.00191780575189369,0.374634584757492,0.178652321458941,0.444795288031673
|
||||
2003,"NBS","ASIAUS",819.277607285573,0.00210191710870563,0.279343639618056,0.346537536703958,0.372016906569281
|
||||
2003,"NBS","CEI",1370.90327513558,0.201685678688886,0.0448981117980321,0.753416209513082,0
|
||||
2003,"NBS","CHN",947.421571182859,0,0.748828864793134,0.251171135206866,0
|
||||
2003,"NBS","EUR",797.83472170478,0.052057705585553,0.420549111447807,0.308357854284043,0.219035328682597
|
||||
2003,"NBS","SIN",1178.36392294334,0,0,0.924568394630158,0.0754316053698418
|
||||
2004,"NBI","AFRMY",1118.84228834104,0.0719015260194344,0.586382396634064,0.284417536153788,0.057298541192714
|
||||
2004,"NBI","AMCS",1066.33349071331,0,0.557795356455719,0.398933257242986,0.0432713863012945
|
||||
2004,"NBI","AMN",1559.76351030533,0.0371168132172758,0.457589075882335,0.167304100632898,0.337990010267491
|
||||
2004,"NBI","ASIAUS",895.061401625613,0.00351434191290419,0.407998279703067,0.578451861928994,0.0100355164550348
|
||||
2004,"NBI","CEI",1895.37246841514,0.0621895397647724,0.223517807028265,0.495640633683318,0.218652019523644
|
||||
2004,"NBI","CHN",1000.4594665654,0,0.600163096684699,0.374120748057107,0.0257161552581933
|
||||
2004,"NBI","EUR",1010.59338718854,0.132671487148077,0.497420746298331,0.152718867182171,0.21718889937142
|
||||
2004,"NBI","SIN",979.908245588873,0.000569529127851526,0.77049725220613,0.228933218666019,0
|
||||
2004,"NBL","AFRMY",1854.09068466113,0.0230344008837983,0.530715015293745,0.446250583822457,0
|
||||
2004,"NBL","AMCS",1735.4292061985,0,0.669305287395437,0.215266978003438,0.115427734601125
|
||||
2004,"NBL","AMN",2079.46013496378,0.0615241629505311,0.445398422407843,0.139054382607996,0.35402303203363
|
||||
2004,"NBL","ASIAUS",1169.74074607907,0.057163394637303,0.74791876942464,0.101251746052136,0.0936660898859209
|
||||
2004,"NBL","CEI",3414.37852598339,0.0975838497409029,0.111023915646246,0.728306869453293,0.0630853651595581
|
||||
2004,"NBL","CHN",1261.00651246869,0,0.609679750621362,0.330338461372172,0.0599817880064659
|
||||
2004,"NBL","EUR",1317.01591035747,0.250405851122713,0.623290601334873,0.101772769455369,0.0245307780870447
|
||||
2004,"NBL","SIN",1444.11232276274,0,0.419750948965739,0.580249051034261,0
|
||||
2004,"NBS","AFRMY",975.100903644071,0.0677497176473869,0.462821740223249,0.468351395459184,0.00107714667018013
|
||||
2004,"NBS","AMCS",827.996945667859,0,0.526184470650645,0.35735758077773,0.116457948571625
|
||||
2004,"NBS","AMN",1072.26228809395,0.00195151069157886,0.219300737137274,0.179046918234192,0.599700833936955
|
||||
2004,"NBS","ASIAUS",876.477227814581,0.00155311460801366,0.179458912302523,0.22482693354778,0.594161039541684
|
||||
2004,"NBS","CEI",1334.90751418335,0.216356673704201,0.313838369662649,0.468739021445937,0.00106593518721326
|
||||
2004,"NBS","CHN",956.848300480629,0,0.820224553164155,0.179516211481983,0.000259235353862591
|
||||
2004,"NBS","EUR",827.75461937925,0.0831298345762109,0.357945045100817,0.249001050066969,0.309924070256003
|
||||
2004,"NBS","SIN",1138.44344746954,0,0,1,0
|
||||
2005,"NBI","AFRMY",1144.6473085694,0.0664152811711306,0.539696049145382,0.337990821845681,0.0558978478378065
|
||||
2005,"NBI","AMCS",1066.95770202064,0,0.565873185288841,0.388196571002098,0.0459302437090615
|
||||
2005,"NBI","AMN",1547.31279759207,0.0227526536617333,0.452963215927672,0.167578737439385,0.35670539297121
|
||||
2005,"NBI","ASIAUS",902.205693075095,0.00417293984616082,0.352498092307051,0.569070563335918,0.0742584045108701
|
||||
2005,"NBI","CEI",1873.5506127118,0.0702844042456643,0.206525859735807,0.511657378206404,0.211532357812125
|
||||
2005,"NBI","CHN",1035.35139870713,0,0.630046071741499,0.343781662121277,0.0261722661372242
|
||||
2005,"NBI","EUR",1018.90251261652,0.128046913616995,0.529984291873972,0.121777702743246,0.220191091765786
|
||||
2005,"NBI","SIN",1023.06687094566,0,0.75275156733831,0.24724843266169,0
|
||||
2005,"NBL","AFRMY",1810.02105488293,0.0371926827644837,0.539387373962615,0.423419943272902,0
|
||||
2005,"NBL","AMCS",1726.75732585068,0,0.711059249437188,0.188230549920793,0.100710200642019
|
||||
2005,"NBL","AMN",2109.24405792989,0.0391014466679743,0.458734886225285,0.136562585217016,0.365601081889725
|
||||
2005,"NBL","ASIAUS",1037.04239942446,0.100698402680429,0.808376121156836,0.0185210151369094,0.0724044610258255
|
||||
2005,"NBL","CEI",3189.2428547016,0.171177549768552,0.20736132642256,0.57822815188997,0.0432329719189168
|
||||
2005,"NBL","CHN",1125.08281549542,0,0.555712767270187,0.389918708121961,0.0543685246078521
|
||||
2005,"NBL","EUR",1236.54730270984,0.283755233670644,0.631980022925384,0.0728362110640691,0.0114285323399037
|
||||
2005,"NBL","SIN",1474.32248032714,0,0.391378024983744,0.608621975016256,0
|
||||
2005,"NBS","AFRMY",944.057666641918,0.0868315093655335,0.413495892183916,0.456665085205021,0.0430075132455295
|
||||
2005,"NBS","AMCS",837.29685252464,0,0.552217955745499,0.295268249310276,0.152513794944226
|
||||
2005,"NBS","AMN",1102.98776605576,0.0050067486763006,0.21064297147412,0.163538466559019,0.62081181329056
|
||||
2005,"NBS","ASIAUS",880.594368505296,0,0.158548615316017,0.176302779128767,0.665148605555216
|
||||
2005,"NBS","CEI",1353.6195416818,0.232640433020087,0.273659282575309,0.422138212886689,0.0715620715179144
|
||||
2005,"NBS","CHN",959.782513779051,0,0.735002611782261,0.26485492276103,0.000142465456708642
|
||||
2005,"NBS","EUR",861.891616310017,0.084877102823163,0.301965006454799,0.163169501287278,0.449988389434761
|
||||
2005,"NBS","SIN",920.386833700046,0,0.0119700260861467,0.988029973913853,0
|
||||
2006,"NBI","AFRMY",1138.04732765766,0.0800975799238458,0.506326179207697,0.310658120147633,0.102918120720824
|
||||
2006,"NBI","AMCS",1031.34035186997,0,0.594644733989955,0.33380888015396,0.0715463858560854
|
||||
2006,"NBI","AMN",1587.15047211395,0.0144793536243242,0.493988590006146,0.129792047209454,0.361740009160076
|
||||
2006,"NBI","ASIAUS",942.019400916568,0.00668256126305651,0.285334186757348,0.498176437003973,0.209806814975622
|
||||
2006,"NBI","CEI",1902.06195567292,0.087699412848399,0.228088234173566,0.50140820203356,0.182804150944475
|
||||
2006,"NBI","CHN",1062.10188868693,0,0.605711891013932,0.368696072192362,0.0255920367937056
|
||||
2006,"NBI","EUR",1019.00908136861,0.125108192597397,0.483604311510742,0.138424836751621,0.252862659140239
|
||||
2006,"NBI","SIN",1049.04800558863,0,0.650299991727958,0.274523356683468,0.0751766515885743
|
||||
2006,"NBL","AFRMY",1899.32443336587,0.0135018297452449,0.5547227084213,0.431775461833455,0
|
||||
2006,"NBL","AMCS",1939.20935088796,0,0.54565098242017,0.328285859772465,0.126063157807365
|
||||
2006,"NBL","AMN",2187.67128026574,0.0161667752194186,0.57602842212399,0.03853815300604,0.369266649650551
|
||||
2006,"NBL","ASIAUS",838.495611230166,0.0245901590890957,0.950980745058982,0.0159268006244832,0.00850229522743875
|
||||
2006,"NBL","CEI",3023.53223923825,0.146023985007469,0.146985332154633,0.698296864512271,0.00869381832562711
|
||||
2006,"NBL","CHN",1134.28503381506,0,0.591546525322623,0.358284579807739,0.0501688948696376
|
||||
2006,"NBL","EUR",1310.43452032375,0.288605861840223,0.633770439586171,0.0579149345013532,0.0197087640722526
|
||||
2006,"NBL","SIN",1510.47536969813,0,0.450772203812408,0.549227796187592,0
|
||||
2006,"NBS","AFRMY",974.478817897077,0.0756597750364558,0.471440795514074,0.41963457244113,0.0332648570083407
|
||||
2006,"NBS","AMCS",858.268397159176,0,0.514976037718629,0.270613590784659,0.214410371496713
|
||||
2006,"NBS","AMN",1114.73769830693,0.00536186599671175,0.239422726677631,0.0950835749915738,0.660131832334083
|
||||
2006,"NBS","ASIAUS",873.220374167129,0,0.156823114834569,0.203876419644402,0.639300465521029
|
||||
2006,"NBS","CEI",1361.29909941249,0.170233594203652,0.187328238468591,0.491728192715042,0.150709974612716
|
||||
2006,"NBS","CHN",943.364937862824,0.0059309273700467,0.659226247821932,0.334842824808022,0
|
||||
2006,"NBS","EUR",873.34320313538,0.0867024921103081,0.262601342649803,0.187582150187531,0.463114015052359
|
||||
2006,"NBS","SIN",904.652496449135,0,0.849189109762939,0.150810890237061,0
|
||||
2007,"NBI","AFRMY",1203.54665874132,0.0585926657002463,0.509451122536068,0.271768575067512,0.160187636696174
|
||||
2007,"NBI","AMCS",1096.53436865042,0.00048342238509541,0.638132705020092,0.273647419438365,0.0877364531564478
|
||||
2007,"NBI","AMN",1614.57200208311,0.0144682302797693,0.629105237870985,0.122745188325937,0.233681343523309
|
||||
2007,"NBI","ASIAUS",988.986878274016,0.00817657984201907,0.343094041205826,0.37579422259989,0.272935156352265
|
||||
2007,"NBI","CEI",1843.83106753159,0.0807721344260225,0.262994945859939,0.538231385810682,0.118001533903357
|
||||
2007,"NBI","CHN",1087.72227782614,0.00871684618403742,0.596596783347116,0.363069168162567,0.0316172023062802
|
||||
2007,"NBI","EUR",1031.75960706547,0.136786494362055,0.410593149305638,0.143636996694623,0.308983359637684
|
||||
2007,"NBI","SIN",1026.44437882514,0,0.525161979414646,0.30293809998151,0.171899920603844
|
||||
2007,"NBL","AFRMY",1942.85550048815,0.00218389166757012,0.588470557597048,0.40929720543993,4.8345295451351e-05
|
||||
2007,"NBL","AMCS",1752.72021549169,0,0.361097899948369,0.478313640602461,0.16058845944917
|
||||
2007,"NBL","AMN",2193.13480849429,0.0149828113663743,0.78509866900973,0.0404014546028906,0.159517065021005
|
||||
2007,"NBL","ASIAUS",989.889932809892,0.0162271509217324,0.832187530626005,0.149945562183088,0.0016397562691749
|
||||
2007,"NBL","CEI",2909.34626217913,0.000850322363912121,0.277571816801808,0.72157786083428,0
|
||||
2007,"NBL","CHN",1169.68265841665,0,0.604437226859891,0.35048544113896,0.0450773320011491
|
||||
2007,"NBL","EUR",1336.48548759046,0.456332670589603,0.399129698484048,0.0511075391287189,0.0934300917976305
|
||||
2007,"NBL","SIN",1333.1696324163,0,0.816853994648282,0.183146005351718,0
|
||||
2007,"NBS","AFRMY",1003.75236095351,0.0651568400256861,0.432675433252729,0.45687060301457,0.0452971237070148
|
||||
2007,"NBS","AMCS",882.432144143286,0.00911187527644252,0.337419271740532,0.296353005902383,0.357115847080643
|
||||
2007,"NBS","AMN",1131.15899236726,0.00511992804128777,0.228541472390303,0.0795260829088163,0.686812516659593
|
||||
2007,"NBS","ASIAUS",851.405008344783,0,0.147859459329913,0.223130936448259,0.629009604221828
|
||||
2007,"NBS","CEI",1433.62733081037,0.0544880297398635,0.134230879319672,0.561145906269914,0.25013518467055
|
||||
2007,"NBS","CHN",958.820786614708,0.00201519673403784,0.672948683552199,0.325036119713764,0
|
||||
2007,"NBS","EUR",893.382551697775,0.0922905364833857,0.259615999569008,0.167117411829207,0.480976052118399
|
||||
2007,"NBS","SIN",861.497596814846,0,0.936102212290443,0.0638977877095566,0
|
||||
2008,"NBI","AFRMY",1313.54306329234,0.0516667778398931,0.547061472206402,0.235465465904931,0.165806284048774
|
||||
2008,"NBI","AMCS",1114.49127999271,0,0.575627146383918,0.226964472357331,0.197408381258751
|
||||
2008,"NBI","AMN",1629.01673594902,0.00620271978000414,0.664077881059971,0.0841953246826147,0.24552407447741
|
||||
2008,"NBI","ASIAUS",994.809090652737,0.000987946700090422,0.313624979246642,0.340936070149694,0.344451003903573
|
||||
2008,"NBI","CEI",1854.36334350641,0.0876837604099257,0.255835891839049,0.534707079924424,0.121773267826601
|
||||
2008,"NBI","CHN",1100.30413978341,0.0134513573271539,0.569656014383211,0.376550959295235,0.0403416689944007
|
||||
2008,"NBI","EUR",1043.54112546693,0.129774833686005,0.375025039275457,0.132825311109915,0.362374815928622
|
||||
2008,"NBI","SIN",1143.8008347137,0.00430039812644039,0.469988951992067,0.296132058994066,0.229578590887426
|
||||
2008,"NBL","AFRMY",1886.58991315224,0.00165812898256478,0.605155510062856,0.381504039564207,0.0116823213903723
|
||||
2008,"NBL","AMCS",1700.82158728223,0.0205919955785117,0.368989507434037,0.459661339231761,0.15075715775569
|
||||
2008,"NBL","AMN",2260.87332905502,0.00726989606142494,0.817317864743296,0.022247548087343,0.153164691107936
|
||||
2008,"NBL","ASIAUS",986.330466920578,0,0.609492711499366,0.345369469935553,0.0451378185650805
|
||||
2008,"NBL","CEI",2840.84259443527,0.00813188489772224,0.322413368793628,0.66945474630865,0
|
||||
2008,"NBL","CHN",1206.92511347414,0,0.727578560849299,0.229183584378653,0.0432378547720479
|
||||
2008,"NBL","EUR",1343.21561823585,0.448323700509502,0.392585120773226,0.0642592864143586,0.094831892302913
|
||||
2008,"NBL","SIN",1272.72578138311,0,0.877971926433105,0.122028073566895,0
|
||||
2008,"NBS","AFRMY",1005.64467742537,0.0762956621718267,0.453014830546209,0.400966646404061,0.0697228608779029
|
||||
2008,"NBS","AMCS",905.27681512962,0,0.415212580447228,0.328715964602552,0.25607145495022
|
||||
2008,"NBS","AMN",1147.49513867048,0.00358616306061373,0.236369026638581,0.0389015292315772,0.721143281069228
|
||||
2008,"NBS","ASIAUS",861.490624905805,0,0.147563247669611,0.636912321783231,0.215524430547158
|
||||
2008,"NBS","CEI",1429.536431327,0.0419663013467043,0.169225514491592,0.538045111746165,0.250763072415538
|
||||
2008,"NBS","CHN",998.620779678658,0,0.645436327900737,0.354563672099262,0
|
||||
2008,"NBS","EUR",913.83679925806,0.0792022575619804,0.274295148563102,0.167430830173512,0.479071763701405
|
||||
2008,"NBS","SIN",842.763596584005,0,0.893037698780132,0.106962301219868,0
|
||||
2009,"NBI","AFRMY",1395.6180557787,0.0400077144293168,0.563645886024902,0.169354435288079,0.226991964257702
|
||||
2009,"NBI","AMCS",1134.15923696427,0,0.549034539417961,0.194657314544938,0.256308146037101
|
||||
2009,"NBI","AMN",1636.14445625878,0.00306727606950699,0.660795491599832,0.0820724467980983,0.254064785532563
|
||||
2009,"NBI","ASIAUS",1007.76366536438,0.00160487039716765,0.295328454196822,0.311082796977006,0.391983878429004
|
||||
2009,"NBI","CEI",1831.7440983442,0.11200343505728,0.308555459025905,0.462291361915983,0.117149744000833
|
||||
2009,"NBI","CHN",1089.80047248912,0.0130309603361804,0.528815563203569,0.418075170054611,0.0400783064056394
|
||||
2009,"NBI","EUR",1077.4793370156,0.101058057927184,0.377478238815063,0.116074573263744,0.40538912999401
|
||||
2009,"NBI","SIN",1198.76062615162,0.000547586998631722,0.49611905510428,0.21785225257422,0.285481105322868
|
||||
2009,"NBL","AFRMY",1737.999604481,0.0024356014389473,0.667761381959535,0.311703744755316,0.0180992718462014
|
||||
2009,"NBL","AMCS",1786.30343201811,0,0.533278662185533,0.466721337814467,0
|
||||
2009,"NBL","AMN",2256.85781416248,0.000293962531991564,0.822998417014824,0.0192566507782951,0.157450969674889
|
||||
2009,"NBL","ASIAUS",975.288797642984,0,0.49502523471116,0.402058268815426,0.102916496473414
|
||||
2009,"NBL","CEI",2700.04791763294,0.016265741755581,0.428579284500524,0.555154973743895,0
|
||||
2009,"NBL","CHN",1312.51344831019,0,0.779308474977018,0.187962133444308,0.0327293915786742
|
||||
2009,"NBL","EUR",1332.00055759885,0.271301387749559,0.539690398469936,0.0930775018965338,0.0959307118839708
|
||||
2009,"NBL","SIN",1236.87637021478,0,0.87543498003085,0.12456501996915,0
|
||||
2009,"NBS","AFRMY",1015.19782818828,0.067724090202741,0.512349877055858,0.366186892953176,0.0537391397882253
|
||||
2009,"NBS","AMCS",922.339471792621,0,0.463090324498557,0.222086500275168,0.314823175226275
|
||||
2009,"NBS","AMN",1150.42444420275,0.0023638485091488,0.220153125835233,0.0195277289886652,0.757955296666953
|
||||
2009,"NBS","ASIAUS",862.341398000546,0,0.147486620243995,0.662139958344752,0.190373421411253
|
||||
2009,"NBS","CEI",1508.18157566757,0.0244837351288422,0.121376641024494,0.603876667548701,0.250262956297963
|
||||
2009,"NBS","CHN",1006.60539874558,0,0.624859405991935,0.356141637396337,0.0189989566117288
|
||||
2009,"NBS","EUR",912.597681541622,0.0597885210246579,0.300312732832543,0.152752448564238,0.48714629757856
|
||||
2009,"NBS","SIN",941.281238519887,0,0.784759223988131,0.214067828282338,0.00117294772953116
|
||||
2010,"NBI","AFRMY",1406.43296479054,0.0449048043681947,0.535051098553474,0.167201994631819,0.252842102446512
|
||||
2010,"NBI","AMCS",1134.83544343317,0,0.545390107797884,0.170182358466128,0.284427533735988
|
||||
2010,"NBI","AMN",1662.42359864004,0.00496061847067828,0.728816672217152,0.0769249813229236,0.189297727989246
|
||||
2010,"NBI","ASIAUS",1034.44869437252,0.00269041190310057,0.275544806830541,0.293535988808319,0.428228792458039
|
||||
2010,"NBI","CEI",1885.2361359789,0.129814317275619,0.218206627002135,0.490502210632826,0.161476845089419
|
||||
2010,"NBI","CHN",1111.75193991616,0.0147557384148718,0.498562398808354,0.441190995021097,0.0454908677556766
|
||||
2010,"NBI","EUR",1126.43528438371,0.0831563310136458,0.350644657574872,0.0893713436290118,0.476827667782471
|
||||
2010,"NBI","SIN",1232.04688847674,0,0.392683619459063,0.267490147161415,0.339826233379522
|
||||
2010,"NBL","AFRMY",1748.96251256379,0.00515544186776357,0.638631320076687,0.290611875262191,0.0656013627933582
|
||||
2010,"NBL","AMCS",1817.25210460535,0,0.569252188602098,0.430747811397902,0
|
||||
2010,"NBL","AMN",2293.48169537631,2.51886061967639e-05,0.977088844136898,0.0183975145457622,0.00448845271114271
|
||||
2010,"NBL","ASIAUS",979.060328830998,0,0.395449156088465,0.504781657452823,0.0997691864587119
|
||||
2010,"NBL","CEI",2534.23593350032,0.0364027800357403,0.447826169790593,0.515771050173667,0
|
||||
2010,"NBL","CHN",1285.01096331124,0,0.796704067562598,0.175527073808743,0.027768858628659
|
||||
2010,"NBL","EUR",1343.19436919399,0.187165060525048,0.576851827824477,0.111657707931873,0.124325403718603
|
||||
2010,"NBL","SIN",1341.1531012091,0,0.885615939288984,0.114384060711016,0
|
||||
2010,"NBS","AFRMY",1046.98052361658,0.0634349615944977,0.49049751068997,0.394055886461295,0.0520116412542372
|
||||
2010,"NBS","AMCS",917.446287524619,0,0.41819603371846,0.293179215802351,0.288624750479189
|
||||
2010,"NBS","AMN",1177.1913099698,0.00159825385375051,0.265352606783627,0.0181746340843401,0.714874505278283
|
||||
2010,"NBS","ASIAUS",865.473638725562,0,0.126644446963058,0.650364976235155,0.222990576801786
|
||||
2010,"NBS","CEI",1488.98639545524,0.017966577903667,0.115817629679639,0.644508930958306,0.221706861458388
|
||||
2010,"NBS","CHN",1034.68559085897,0.00130413828754895,0.639212948063118,0.333046610538162,0.0264363031111704
|
||||
2010,"NBS","EUR",911.023573481606,0.048294969718647,0.33208352318159,0.138074424882399,0.481547082217364
|
||||
2010,"NBS","SIN",960.523408860522,0,0.751895625744033,0.246443344797988,0.00166102945797802
|
||||
2011,"NBI","AFRMY",1424.51737732262,0.0351514254809325,0.55005406796654,0.168007335828231,0.246787170724297
|
||||
2011,"NBI","AMCS",1126.18376406221,0.000734612055461518,0.530754016639782,0.158005648584995,0.310505722719762
|
||||
2011,"NBI","AMN",1686.05998924036,0.0104602579483087,0.707861702176985,0.0778357048666881,0.203842335008018
|
||||
2011,"NBI","ASIAUS",1073.91369191156,0.00244862169795106,0.255719918276249,0.274977502095967,0.466853957929832
|
||||
2011,"NBI","CEI",1979.93800292899,0.137775539787413,0.23628000819228,0.528596890430094,0.0973475615902134
|
||||
2011,"NBI","CHN",1142.44620461285,0.0159717505033257,0.467328533995739,0.464062066137272,0.0526376493636626
|
||||
2011,"NBI","EUR",1187.57140666468,0.0880275242535338,0.328394484056784,0.0786915934967489,0.504886398192933
|
||||
2011,"NBI","SIN",1199.41243741536,0,0.39764156675056,0.211455746673591,0.390902686575849
|
||||
2011,"NBL","AFRMY",1739.6007920479,0.0040777823489101,0.732139231352923,0.253912764965224,0.00987022133294287
|
||||
2011,"NBL","AMCS",1872.53328207283,0,0.623483034203575,0.376516965796425,0
|
||||
2011,"NBL","AMN",2293.50566362053,0.00120843065221345,0.975075343474976,0.0195908168289434,0.00412540904386668
|
||||
2011,"NBL","ASIAUS",957.459125162572,0,0.3981324625055,0.522811105254002,0.0790564322404976
|
||||
2011,"NBL","CEI",2444.1952488186,0,0.369093409930154,0.630906590069846,0
|
||||
2011,"NBL","CHN",1288.51124331818,0,0.83484995943391,0.139045400403866,0.0261046401622243
|
||||
2011,"NBL","EUR",1620.02575901213,0.179912556375419,0.590261535633465,0.109784206390408,0.120041701600709
|
||||
2011,"NBL","SIN",1304.46241338626,0,0.888606378314601,0.0730967082076506,0.0382969134777483
|
||||
2011,"NBS","AFRMY",1007.19458217251,0.00631786884779677,0.508465565886657,0.422925929720447,0.0622906355450989
|
||||
2011,"NBS","AMCS",909.144153886733,0,0.367998198470403,0.292855238783156,0.339146562746441
|
||||
2011,"NBS","AMN",1191.16246661423,0.00175140501956247,0.246031544748117,0.0171544198963336,0.735062630335987
|
||||
2011,"NBS","ASIAUS",850.486998137522,0,0.1275802765743,0.675169487129654,0.197250236296046
|
||||
2011,"NBS","CEI",1510.19828714821,0.0265783802986438,0.0992704251101314,0.683706308679481,0.190444885911744
|
||||
2011,"NBS","CHN",1064.18012416966,0.00241012155494277,0.682256953411435,0.302010076448268,0.0133228485853545
|
||||
2011,"NBS","EUR",916.174649366482,0.0492043912001525,0.34135739820329,0.141561218830127,0.467876991766431
|
||||
2011,"NBS","SIN",888.171167446202,0,0.808119113541168,0.191880886458832,0
|
||||
2012,"NBI","AFRMY",1444.17076370054,0.0189785876610238,0.554143289263506,0.183522738833286,0.243355384242185
|
||||
2012,"NBI","AMCS",1145.36576413174,0.00268832200359789,0.559544366738983,0.142446977651729,0.29532033360569
|
||||
2012,"NBI","AMN",1720.16908219547,0.0159141747121521,0.677841464959253,0.0741658832141036,0.232078477114491
|
||||
2012,"NBI","ASIAUS",1085.95332163139,0.00265478449436225,0.237959011044416,0.220868274460398,0.538517930000824
|
||||
2012,"NBI","CEI",2006.06580045659,0.100906253687168,0.227465624809027,0.550683402218782,0.120944719285024
|
||||
2012,"NBI","CHN",1158.59266441247,0.0141035864977569,0.467190187861662,0.460395447099901,0.0583107785406796
|
||||
2012,"NBI","EUR",1182.16457725069,0.0968643146367463,0.30424724675862,0.0665441602095555,0.532344278395079
|
||||
2012,"NBI","SIN",1201.81633691092,0,0.341647722981543,0.145802256860062,0.512550020158395
|
||||
2012,"NBL","AFRMY",1608.76691303504,0.000106582842890438,0.787118825467425,0.212774591689684,0
|
||||
2012,"NBL","AMCS",1942.59130370118,0,0.632402926629166,0.367597073370834,0
|
||||
2012,"NBL","AMN",2247.80377072045,3.03863954678626e-05,0.9736440960383,0.0208958045695639,0.00542971299666854
|
||||
2012,"NBL","ASIAUS",949.291561304045,0,0.395181929394214,0.537425360098971,0.0673927105068143
|
||||
2012,"NBL","CEI",2327.82679505328,0,0.413095631019926,0.56467590472136,0.0222284642587132
|
||||
2012,"NBL","CHN",1293.31687328402,0,0.747038789170222,0.226671463593282,0.0262897472364964
|
||||
2012,"NBL","EUR",1552.95001340446,0.181635309992354,0.620577092099919,0.0768750158845336,0.120912582023194
|
||||
2012,"NBL","SIN",1262.1772234702,0,0.837584118852054,0.0666601175823454,0.0957557635656006
|
||||
2012,"NBS","AFRMY",1013.10920950682,0.000633311637145888,0.499427469358913,0.443650012538879,0.0562892064650616
|
||||
2012,"NBS","AMCS",917.64807277123,0,0.386175386765132,0.252805660269242,0.361018952965626
|
||||
2012,"NBS","AMN",1195.15696859212,0.00214482525496823,0.22493055282814,0.0176967797191902,0.755227842197701
|
||||
2012,"NBS","ASIAUS",753.026296589535,0,0.156786384849645,0.576596768499782,0.266616846650573
|
||||
2012,"NBS","CEI",1516.90709842238,0.0265719133759967,0.109642600306312,0.662408447449585,0.201377038868107
|
||||
2012,"NBS","CHN",1061.66838989265,0.0138058800383036,0.636560586041516,0.330225971057657,0.0194075628625229
|
||||
2012,"NBS","EUR",905.104659916776,0.0377161840217475,0.358327151010614,0.139953298748226,0.464003366219412
|
||||
2012,"NBS","SIN",840.89862762842,0,0.730587480131812,0.161983596208537,0.107428923659652
|
||||
2013,"NBI","AFRMY",1471.14511593237,0.0114910114769816,0.534102122708138,0.210037914839755,0.244368950975125
|
||||
2013,"NBI","AMCS",1155.06924658021,0.00241568258444271,0.543635960449871,0.136476587379677,0.317471769586009
|
||||
2013,"NBI","AMN",1719.64958082902,0.014770684837483,0.658952866924056,0.0664519605527871,0.259824487685674
|
||||
2013,"NBI","ASIAUS",1082.61894926893,0.00175837639481114,0.224484318647278,0.195343168934285,0.578414136023626
|
||||
2013,"NBI","CEI",1991.25170431686,0.0973485691261835,0.226934421221344,0.537183129176646,0.138533880475826
|
||||
2013,"NBI","CHN",1169.0751683354,0.0203698386923458,0.45928577064934,0.461191035794118,0.0591533548641968
|
||||
2013,"NBI","EUR",1194.77446120391,0.107305939312392,0.269210063850985,0.0765411714068999,0.546942825429723
|
||||
2013,"NBI","SIN",1189.66358932435,0,0.291268321817293,0.15977615942733,0.548955518755377
|
||||
2013,"NBL","AFRMY",1504.04783756136,0,0.798346292064315,0.201653707935685,0
|
||||
2013,"NBL","AMCS",1937.30127164138,0,0.663773719539538,0.336226280460462,0
|
||||
2013,"NBL","AMN",2286.21304965688,0.000211067046226865,0.955676846791949,0.0337984109773968,0.0103136751844274
|
||||
2013,"NBL","ASIAUS",946.036297823998,0,0.395066191903056,0.540170996680067,0.0647628114168767
|
||||
2013,"NBL","CEI",2188.51497455621,0,0.442662200849931,0.469005392742746,0.0883324064073231
|
||||
2013,"NBL","CHN",1285.8545792696,0,0.734483212310615,0.240666093799954,0.0248506938894303
|
||||
2013,"NBL","EUR",1532.39136571723,0.172350487079934,0.661374814189746,0.0501506017335714,0.116124096996749
|
||||
2013,"NBL","SIN",1328.54294126624,0,0.808486086695855,0.0986397949140966,0.092874118390048
|
||||
2013,"NBS","AFRMY",1068.69288183705,0.0021694248470834,0.483859805069158,0.462530097211811,0.0514406728719476
|
||||
2013,"NBS","AMCS",917.755280269507,0,0.37228855641885,0.278466499562154,0.349244944018996
|
||||
2013,"NBS","AMN",1189.93496263923,0.000811672645167246,0.237060773990007,0.0203814199708714,0.741746133393954
|
||||
2013,"NBS","ASIAUS",731.034760384142,0,0.135053042650456,0.550677194860484,0.31426976248906
|
||||
2013,"NBS","CEI",1422.79351241332,0.0308013295978799,0.111389044987001,0.653678245758535,0.204131379656584
|
||||
2013,"NBS","CHN",1081.8995362773,0.00914409729134034,0.623942014472763,0.346278836081969,0.0206350521539276
|
||||
2013,"NBS","EUR",898.461746765098,0.0395477275546877,0.366782374910371,0.13387853598876,0.459791361546181
|
||||
2013,"NBS","SIN",869.297618614158,0,0.679750084933829,0.247506035959847,0.0727438791063237
|
||||
2014,"NBI","AFRMY",1436.40944663271,0.0064222364775975,0.542811703744438,0.189062457146068,0.261703602631896
|
||||
2014,"NBI","AMCS",1170.64107322118,0.0027493707722935,0.530203693254464,0.135254397599347,0.331792538373895
|
||||
2014,"NBI","AMN",1727.68329190005,0.0178531848305123,0.637693960736605,0.0603331839078765,0.284119670525006
|
||||
2014,"NBI","ASIAUS",1069.76640284961,0.00140903943577794,0.219788280556817,0.199617160387617,0.579185519619788
|
||||
2014,"NBI","CEI",1973.25252699485,0.0911675719890466,0.292216237619569,0.482044785968709,0.134571404422675
|
||||
2014,"NBI","CHN",1178.42907769604,0.0203759433254584,0.454603685681043,0.45088118606297,0.074139184930529
|
||||
2014,"NBI","EUR",1220.87111343989,0.118961663081345,0.2616043762218,0.0718391226060263,0.547594838090828
|
||||
2014,"NBI","SIN",1186.49577387613,0,0.306002165399449,0.153511675513394,0.540486159087157
|
||||
2014,"NBL","AFRMY",1460.85102879045,0,0.799996324768136,0.200003675231864,0
|
||||
2014,"NBL","AMCS",1834.96900554596,0,0.71100178980825,0.28899821019175,0
|
||||
2014,"NBL","AMN",2268.84482457768,6.72936818232921e-05,0.934895447344904,0.0504745212860161,0.014562737687257
|
||||
2014,"NBL","ASIAUS",1000.51839657752,0,0.426399899813303,0.481541523775617,0.09205857641108
|
||||
2014,"NBL","CEI",2053.73479130168,0.000544108512580672,0.416405433989741,0.469643769666972,0.113406687830707
|
||||
2014,"NBL","CHN",1291.02642060912,0,0.716545024776569,0.255027082980876,0.028427892242555
|
||||
2014,"NBL","EUR",1606.64593197914,0.223161174507677,0.623883423471845,0.045626760908785,0.107328641111694
|
||||
2014,"NBL","SIN",1348.85019466439,0,0.765337403190089,0.115260651990989,0.119401944818922
|
||||
2014,"NBS","AFRMY",1064.45898081177,0.00291491760697259,0.485878275640673,0.457701466135592,0.0535053406167621
|
||||
2014,"NBS","AMCS",928.090241708309,0,0.411885967404546,0.272978645563733,0.315135387031722
|
||||
2014,"NBS","AMN",1205.70501230508,2.45836912217714e-05,0.260890569176629,0.0177039188823548,0.721380928249794
|
||||
2014,"NBS","ASIAUS",753.068372303079,0,0.096516532958733,0.566967056952962,0.336516410088305
|
||||
2014,"NBS","CEI",1431.03331915115,0.068921517641212,0.0570462073460887,0.677622808512896,0.196409466499804
|
||||
2014,"NBS","CHN",1105.47632702017,0.00768325406242105,0.570544252275754,0.401294897685053,0.0204775959767723
|
||||
2014,"NBS","EUR",914.25425692296,0.0393740037806408,0.356954682548805,0.141471803256619,0.462199510413936
|
||||
2014,"NBS","SIN",870.669726393812,0,0.733632170133234,0.222198134187043,0.0441696956797234
|
||||
2015,"NBI","AFRMY",1428.53050234763,0.0207766178438452,0.492908544562016,0.196885283444095,0.289429554150043
|
||||
2015,"NBI","AMCS",1203.29309803984,0.0028179607064242,0.520867760933472,0.140938655203608,0.335375623156496
|
||||
2015,"NBI","AMN",1738.01477644474,0.0238092584310295,0.579818612000771,0.0581504707429435,0.338221658825256
|
||||
2015,"NBI","ASIAUS",1052.60453445109,0.0032172314743161,0.219776081816767,0.185703310311,0.591303376397917
|
||||
2015,"NBI","CEI",1899.158400117,0.0893669146996939,0.289209803218771,0.462718555092102,0.158704726989434
|
||||
2015,"NBI","CHN",1218.17124952301,0.00914828266010726,0.441899152517771,0.461115758075308,0.0878368067468136
|
||||
2015,"NBI","EUR",1207.32369074129,0.118256348177102,0.250103229431232,0.059944525531618,0.571695896860048
|
||||
2015,"NBI","SIN",1176.24230287256,0,0.307018807724042,0.150213486045044,0.542767706230914
|
||||
2015,"NBL","AFRMY",1494.84589917535,0.0112118503311329,0.779272623184427,0.20951552648444,0
|
||||
2015,"NBL","AMCS",1562.20669493107,0,0.6986386766052,0.275581685391551,0.0257796380032494
|
||||
2015,"NBL","AMN",2268.33992274839,9.04679809181425e-06,0.911300397608658,0.06437449238171,0.0243160632115405
|
||||
2015,"NBL","ASIAUS",993.747398844302,0,0.467001449276421,0.399133992157238,0.133864558566342
|
||||
2015,"NBL","CEI",2048.75127359522,0,0.437091066089999,0.440660700787902,0.122248233122099
|
||||
2015,"NBL","CHN",1315.70922515485,0,0.690747469164544,0.275857121788021,0.0333954090474352
|
||||
2015,"NBL","EUR",1587.82150152401,0.221710041191847,0.624500798518349,0.0379757193450513,0.115813440944753
|
||||
2015,"NBL","SIN",1425.34077085995,0,0.73022044751683,0.173733140503727,0.0960464119794426
|
||||
2015,"NBS","AFRMY",1081.31463618046,0,0.502376778765073,0.441361634783227,0.0562615864516999
|
||||
2015,"NBS","AMCS",920.124003016477,0,0.408484604595118,0.273477618923622,0.31803777648126
|
||||
2015,"NBS","AMN",1207.20179372532,0.000510259136209996,0.260185914010707,0.0170901915972747,0.722213635255808
|
||||
2015,"NBS","ASIAUS",746.022483799258,0,0.0177077500445511,0.698664388961756,0.283627860993693
|
||||
2015,"NBS","CEI",1343.95715299032,0.0635179365450916,0.0472716426192377,0.693401532252457,0.195808888583214
|
||||
2015,"NBS","CHN",1108.44286330452,0.0776463771665144,0.489628594799918,0.411511072706446,0.0212139553271215
|
||||
2015,"NBS","EUR",939.017335617323,0.0313696377066949,0.393312783030407,0.12695669793992,0.448360881322978
|
||||
2015,"NBS","SIN",870.348448252073,0,0.702505145710871,0.172709655017247,0.124785199271883
|
||||
2016,"NBI","AFRMY",1475.56331850991,0.0319754311921306,0.501860657126291,0.183281816589932,0.282882095091646
|
||||
2016,"NBI","AMCS",1268.42203606365,0.0023583603231158,0.563185394601305,0.0808479769156193,0.35360826815996
|
||||
2016,"NBI","AMN",1711.79670365248,0.02577849127476,0.549989380291664,0.0492655076190842,0.374966620814492
|
||||
2016,"NBI","ASIAUS",1070.93354324963,0.00516606331186542,0.197972500385649,0.184155947112969,0.612705489189516
|
||||
2016,"NBI","CEI",1862.14713610059,0.112573334673903,0.33565303689593,0.379862621299724,0.171911007130443
|
||||
2016,"NBI","CHN",1245.23338795978,0.0174303355553323,0.410030769403998,0.489632917891661,0.0829059771490086
|
||||
2016,"NBI","EUR",1232.35805700697,0.123501446929874,0.227869683386626,0.0588770681164627,0.589751801567038
|
||||
2016,"NBI","SIN",1193.57262201123,0,0.289360253571763,0.140917456810684,0.569722289617552
|
||||
2016,"NBL","AFRMY",1547.9837934542,0.00152621623563369,0.848747591920331,0.149726191844036,0
|
||||
2016,"NBL","AMCS",1399.28855792509,0,0.798176059610811,0.11870362890116,0.0831203114880292
|
||||
2016,"NBL","AMN",2205.14765666623,0.000527650985546271,0.873246410525674,0.0677079740707337,0.058517964418046
|
||||
2016,"NBL","ASIAUS",1020.687695705,0,0.465360160672609,0.398125297827866,0.136514541499525
|
||||
2016,"NBL","CEI",2105.59709994094,0.000951451629755652,0.391067283495658,0.46983310993992,0.138148154934667
|
||||
2016,"NBL","CHN",1320.79179131628,0,0.639442580076711,0.347677415343407,0.012880004579882
|
||||
2016,"NBL","EUR",1554.64543886728,0.229774823410553,0.582330931609537,0.0419130744654885,0.145981170514422
|
||||
2016,"NBL","SIN",1460.91539363769,0,0.691968822226738,0.242406130669295,0.065625047103968
|
||||
2016,"NBS","AFRMY",1043.2327331395,0.000102620028115559,0.634683193935788,0.323485113563352,0.0417290724727441
|
||||
2016,"NBS","AMCS",1013.31700243345,0,0.501353450401791,0.189225496465874,0.309421053132335
|
||||
2016,"NBS","AMN",1225.63550236901,0.00141736160621114,0.289719174320785,0.0152546624653066,0.693608801607697
|
||||
2016,"NBS","ASIAUS",904.726098221287,0,0,0.798881873808401,0.201118126191599
|
||||
2016,"NBS","CEI",1364.60825764312,0.0683115316622174,0.00476814895964074,0.762177897951658,0.164742421426484
|
||||
2016,"NBS","CHN",1103.26586893804,0.00266194495735963,0.542546304930504,0.416096118847209,0.0386956312649273
|
||||
2016,"NBS","EUR",948.655111540345,0.0320549107778452,0.405305244353362,0.122519499361926,0.440120345506867
|
||||
2016,"NBS","SIN",844.823445399405,0,0.721656446373448,0.216189948982058,0.0621536046444943
|
||||
2017,"NBI","AFRMY",1496.17994808487,0.050625567469187,0.474891027462492,0.177206079246246,0.297277325822076
|
||||
2017,"NBI","AMCS",1340.77054209775,0.00419097560687048,0.548911692692836,0.0695792033443306,0.377318128355963
|
||||
2017,"NBI","AMN",1689.09690632216,0.0253778746560111,0.517462892568269,0.0468534041592378,0.410305828616482
|
||||
2017,"NBI","ASIAUS",1090.60485991004,0.00302765116934079,0.182402439784683,0.204964818235332,0.609605090810644
|
||||
2017,"NBI","CEI",1829.02413533484,0.122318230623105,0.335686084091387,0.365400712322871,0.176594972962637
|
||||
2017,"NBI","CHN",1241.32330932168,0.024165109264865,0.383933267779363,0.50615740525501,0.085744217700762
|
||||
2017,"NBI","EUR",1241.31006489195,0.123124647157609,0.21410854053978,0.0595471173091829,0.603219694993428
|
||||
2017,"NBI","SIN",1183.69574724329,0,0.242874340420892,0.166468473106022,0.590657186473086
|
||||
2017,"NBL","AFRMY",1555.18905266997,2.73547557210255e-06,0.898899901855501,0.101097362668927,0
|
||||
2017,"NBL","AMCS",1376.27783117168,0,0.706932971944753,0.0926412724368285,0.200425755618419
|
||||
2017,"NBL","AMN",2175.50832123322,0.00239165454393695,0.841933196283437,0.0707387560852616,0.0849363930873646
|
||||
2017,"NBL","ASIAUS",1023.43566831925,0.000800258513939384,0.447394398349715,0.414625939796609,0.137179403339737
|
||||
2017,"NBL","CEI",2180.61964841118,0.00560280639904956,0.410272233726201,0.435728583453766,0.148396376420984
|
||||
2017,"NBL","CHN",1336.04580667692,0,0.635925974829241,0.337062109484366,0.0270119156863931
|
||||
2017,"NBL","EUR",1581.27109738214,0.209323748985351,0.535854354427379,0.0590779284422201,0.19574396814505
|
||||
2017,"NBL","SIN",1385.85005953748,0,0.694349060550439,0.305650939449561,0
|
||||
2017,"NBS","AFRMY",1022.05829700248,0.000723919974063216,0.635702564857298,0.350461018515382,0.0131124966532562
|
||||
2017,"NBS","AMCS",944.049052843015,0.0115925636002999,0.489370351314295,0.208584407086816,0.29045267799859
|
||||
2017,"NBS","AMN",1209.28347755063,0.000260843711046378,0.301428731430571,0.0144515929155083,0.683858831942874
|
||||
2017,"NBS","ASIAUS",956.073385582094,0.00147769148061019,0,0.911135321358445,0.0873869871609443
|
||||
2017,"NBS","CEI",1339.60911044415,0.063829015346455,0,0.780514118854084,0.155656865799461
|
||||
2017,"NBS","CHN",1096.72095621103,0,0.495554779702135,0.461495254014362,0.0429499662835029
|
||||
2017,"NBS","EUR",962.176517730686,0.0334553700671753,0.404898911096585,0.113828314931266,0.447817403904974
|
||||
2017,"NBS","SIN",863.781882075268,0,0.778308570936917,0.221691429063083,0
|
||||
2018,"NBI","AFRMY",1549.53915639867,0.0663002134707632,0.449777947103253,0.172174303179534,0.31174753624645
|
||||
2018,"NBI","AMCS",1380.65995729124,0.00403791875092572,0.526953049921794,0.0644728642739742,0.404536167053306
|
||||
2018,"NBI","AMN",1681.37583151833,0.0243223958910481,0.492169303732863,0.0633986007298211,0.420109699646268
|
||||
2018,"NBI","ASIAUS",1102.63856456315,0.00113091958105788,0.161121175570221,0.216596903036671,0.621151001812049
|
||||
2018,"NBI","CEI",1838.97361970384,0.115750602261845,0.314124925171631,0.348725437026174,0.22139903554035
|
||||
2018,"NBI","CHN",1256.69089158885,0.0265087757771971,0.357904805904709,0.519799449653997,0.0957869686640962
|
||||
2018,"NBI","EUR",1267.88271268358,0.116072242775617,0.212225378892056,0.0546706111589407,0.617031767173387
|
||||
2018,"NBI","SIN",1192.02157391478,0,0.211194036778494,0.157406085488894,0.631399877732612
|
||||
2018,"NBL","AFRMY",1592.64169651201,0.0513972464483145,0.840367241579313,0.108235511972372,0
|
||||
2018,"NBL","AMCS",1340.46644169513,0,0.66054449860418,0.0732958526968107,0.266159648699009
|
||||
2018,"NBL","AMN",2183.23533315202,0.0017923290021823,0.823287104617353,0.0822383579702717,0.0926822084101931
|
||||
2018,"NBL","ASIAUS",1066.82729853101,0.000643403947630106,0.370208117432283,0.365332096984865,0.263816381635222
|
||||
2018,"NBL","CEI",2267.56279416812,0.0454603660327829,0.435043783737768,0.333858182214455,0.185637668014994
|
||||
2018,"NBL","CHN",1344.92957290438,0,0.611070288854834,0.344016836752947,0.0449128743922186
|
||||
2018,"NBL","EUR",1588.3174282926,0.18395427233798,0.527489434361314,0.0664491093108706,0.222107183989835
|
||||
2018,"NBL","SIN",1429.44110780293,0,0.727694458670705,0.272305541329295,0
|
||||
2018,"NBS","AFRMY",1020.71685747481,0.00692659851352168,0.648337238023146,0.339492629211395,0.00524353425193789
|
||||
2018,"NBS","AMCS",902.398858952222,0.00767826812173117,0.505309253487862,0.23799696604927,0.249015512341137
|
||||
2018,"NBS","AMN",1206.8536506272,0.000238267606518097,0.314470771627468,0.0207780560305486,0.664512904735466
|
||||
2018,"NBS","ASIAUS",911.614877157633,0,0.0279970581658189,0.88880103749632,0.0832019043378608
|
||||
2018,"NBS","CEI",1357.86587539802,0.0698812672610752,0,0.777867892979874,0.152250839759051
|
||||
2018,"NBS","CHN",1107.47879126715,0,0.492149708807731,0.486728197049722,0.0211220941425467
|
||||
2018,"NBS","EUR",970.85688005974,0.0343455036778129,0.41137643315386,0.120211212327105,0.434066850841222
|
||||
2018,"NBS","SIN",894.381759680565,0,0.855936877250193,0.144063122749808,0
|
||||
2019,"NBI","AFRMY",1492.2978111226,0.102649918856002,0.42680578751604,0.165936644969946,0.304607648658012
|
||||
2019,"NBI","AMCS",1354.78961410027,0.00337035610822788,0.470985961521779,0.0723116182708271,0.453332064099166
|
||||
2019,"NBI","AMN",1643.57578285843,0.0202378025679542,0.460651074647505,0.073868504257858,0.445242618526683
|
||||
2019,"NBI","ASIAUS",1134.24920064386,0.00108039379605935,0.135728909953501,0.224294044582557,0.638896651667882
|
||||
2019,"NBI","CEI",1813.05675723459,0.0896501184478546,0.309554188276996,0.323469457108335,0.277326236166814
|
||||
2019,"NBI","CHN",1271.78426912405,0.0248194088558872,0.37000220364988,0.509070546712698,0.0961078407815349
|
||||
2019,"NBI","EUR",1273.63382759207,0.107488921776733,0.217887890655653,0.0521920020091823,0.622431185558432
|
||||
2019,"NBI","SIN",1200.46166820718,0,0.0833726872437807,0.137415457334685,0.779211855421535
|
||||
2019,"NBL","AFRMY",1662.94590864627,0,0.842797719838686,0.124673635166073,0.0325286449952406
|
||||
2019,"NBL","AMCS",1235.12258886029,0,0.617596872702616,0.0477170231320532,0.334686104165331
|
||||
2019,"NBL","AMN",2148.05011529566,0.00761783833122888,0.802867121032521,0.098422138050584,0.0910929025856656
|
||||
2019,"NBL","ASIAUS",1144.60519451324,0,0.371336633430582,0.30078615964931,0.327877206920108
|
||||
2019,"NBL","CEI",2368.60926137144,0.0485422579137862,0.38017253853315,0.347589217922245,0.223695985630819
|
||||
2019,"NBL","CHN",1358.19649018895,0,0.645339552021407,0.310728603013136,0.0439318449654567
|
||||
2019,"NBL","EUR",1574.6849710538,0.150220914130494,0.551073518822584,0.0679955670446141,0.230710000002308
|
||||
2019,"NBL","SIN",1481.69541448869,0,0.694738182374634,0.220867504903163,0.0843943127222033
|
||||
2019,"NBS","AFRMY",1011.81873527508,0.0184179892903638,0.671794608859629,0.306147393397505,0.00364000845250183
|
||||
2019,"NBS","AMCS",918.820675598173,0,0.494093062827807,0.249364558198859,0.256542378973333
|
||||
2019,"NBS","AMN",1175.52459983989,0.00114786266440984,0.328186295175556,0.033747039008561,0.636918803151473
|
||||
2019,"NBS","ASIAUS",920.61931795843,0.000417544188915301,0.0591318440835829,0.860276886661068,0.0801737250664342
|
||||
2019,"NBS","CEI",1389.23206478903,0.0789510027434591,0,0.773127726131804,0.147921271124737
|
||||
2019,"NBS","CHN",1114.70988332997,0,0.455976409034769,0.507095166014595,0.0369284249506358
|
||||
2019,"NBS","EUR",924.972539854576,0.0298135908183802,0.427911639420309,0.0787710251981705,0.46350374456314
|
||||
2019,"NBS","SIN",846.981601236901,0,0.868729299147553,0.131270700852447,0
|
||||
2020,"NBI","AFRMY",1426.25559102747,0.106848432206768,0.373383866727221,0.179912610347422,0.339855090718589
|
||||
2020,"NBI","AMCS",1306.44021925163,8.79269989742728e-05,0.365998869543555,0.0756483357196987,0.558264867737772
|
||||
2020,"NBI","AMN",1607.55973458849,0.0208137079668084,0.404852448191474,0.0565542123531072,0.51777963148861
|
||||
2020,"NBI","ASIAUS",985.261328996938,0.00163127066622938,0.136321884296025,0.299521925183548,0.562524919854198
|
||||
2020,"NBI","CEI",1723.1238461104,0.0127266489771093,0.223472267070623,0.300583795139888,0.46321728881238
|
||||
2020,"NBI","CHN",1206.22329925023,0.0172890851938207,0.357717276826464,0.522238373766762,0.102755264212954
|
||||
2020,"NBI","EUR",1222.70165889077,0.108458721201359,0.222676388841383,0.0504372290592626,0.618427660897995
|
||||
2020,"NBI","SIN",1184.95872053627,0,0.0440019446739351,0.11774326558819,0.838254789737875
|
||||
2020,"NBL","AFRMY",1482.67185044828,0.000351746209561387,0.717985880116287,0.135904425201487,0.145757948472665
|
||||
2020,"NBL","AMCS",1276.0795553978,0,0.443361917669241,0.0259725624881629,0.530665519842596
|
||||
2020,"NBL","AMN",2049.02352240078,0.0118712033288142,0.772425051283519,0.120716504974669,0.0949872404129974
|
||||
2020,"NBL","ASIAUS",899.538384968181,0,0.333638225914751,0.361960367141017,0.304401406944233
|
||||
2020,"NBL","CEI",2148.90533738309,0.043822817946538,0.230190185738548,0.39626685985108,0.329720136463834
|
||||
2020,"NBL","CHN",1285.39430942117,0,0.660866332697191,0.325647988412346,0.0134856788904631
|
||||
2020,"NBL","EUR",1546.74022682415,0.0507529300296071,0.575646353351569,0.0477569957210068,0.325843720897817
|
||||
2020,"NBL","SIN",1355.02510680111,0,0.577504652539615,0.150945452269486,0.2715498951909
|
||||
2020,"NBS","AFRMY",935.255247110228,0.0199587016443027,0.666753484356739,0.313287813998959,0
|
||||
2020,"NBS","AMCS",902.162552916117,0,0.43782454377697,0.190070588729677,0.372104867493353
|
||||
2020,"NBS","AMN",1156.20881319321,7.74534625298871e-06,0.350232699958734,0.0256591015097475,0.624100453185266
|
||||
2020,"NBS","ASIAUS",825.335039912212,0,0.0562683451124768,0.908293639144726,0.0354380157427969
|
||||
2020,"NBS","CEI",1465.78858435796,0.106767581999736,0,0.807299576017807,0.0859328419824571
|
||||
2020,"NBS","CHN",1053.99157417391,0,0.406363801780305,0.517106893193666,0.0765293050260291
|
||||
2020,"NBS","EUR",881.94342382916,0.0369041996788106,0.497107719421705,0.0788573689914357,0.387130711908049
|
||||
2020,"NBS","SIN",842.928772674598,0,0.865726665502825,0.134273334497175,0
|
||||
2021,"NBI","AFRMY",1414.88415520516,0.0929941722087423,0.354796579859671,0.18322125464213,0.368987993289457
|
||||
2021,"NBI","AMCS",1224.77547703967,0,0.388189694550877,0.0706241741032749,0.541186131345848
|
||||
2021,"NBI","AMN",1633.84097570581,0.00803674285865951,0.399727129589615,0.0547820246268294,0.537454102924896
|
||||
2021,"NBI","ASIAUS",865.593828023355,0.00359077348539316,0.130402188765361,0.34989126700319,0.516115770746056
|
||||
2021,"NBI","CEI",1715.86698426312,0.0179473941125914,0.211494434523127,0.289180322252333,0.481377849111949
|
||||
2021,"NBI","CHN",1196.64231448929,0.0206478966337006,0.349782838674386,0.548240975791555,0.0813282889003586
|
||||
2021,"NBI","EUR",1266.71603824698,0.111288729111577,0.231708502222202,0.0535219844845168,0.603480784181704
|
||||
2021,"NBI","SIN",1168.04223850818,0,0.0436943252376604,0.129403678975315,0.826901995787025
|
||||
2021,"NBL","AFRMY",1451.47763124676,0.00138482532298442,0.559998858896625,0.230461545327438,0.208154770452952
|
||||
2021,"NBL","AMCS",1426.70968494685,0,0.543301799558644,0.039099762091056,0.4175984383503
|
||||
2021,"NBL","AMN",1999.16939747984,0.00485818950836252,0.773041430291726,0.112015224939166,0.110085155260746
|
||||
2021,"NBL","ASIAUS",790.951652462864,0.00108618084020231,0.357002562371498,0.369735580100665,0.272175676687635
|
||||
2021,"NBL","CEI",1972.37515036087,0.0804303432954618,0.233857944276774,0.334786089398675,0.350925623029089
|
||||
2021,"NBL","CHN",1303.74363457761,0,0.70398999555753,0.264253203455216,0.0317568009872544
|
||||
2021,"NBL","EUR",1561.97812541815,0.0611927746145145,0.545851335831636,0.0804972976250072,0.312458591928842
|
||||
2021,"NBL","SIN",1148.27920897887,0,0.441275678262291,0.113636648112906,0.445087673624803
|
||||
2021,"NBS","AFRMY",856.192787702671,0.00287971393527096,0.550560978765089,0.44655930729964,0
|
||||
2021,"NBS","AMCS",846.498287878333,0,0.458158478997787,0.146770944356393,0.39507057664582
|
||||
2021,"NBS","AMN",1217.73804339635,0.000479895470863492,0.374176598876324,0.0178203623503828,0.607523143302429
|
||||
2021,"NBS","ASIAUS",785.74421816884,0.00558084459838678,0.0558453523727677,0.878736357466402,0.059837445562444
|
||||
2021,"NBS","CEI",1543.1603219169,0.102608666329066,0,0.857339513894178,0.040051819776756
|
||||
2021,"NBS","CHN",1030.93692671912,0,0.512164125718881,0.417343964011558,0.0704919102695618
|
||||
2021,"NBS","EUR",936.127412326756,0.0430143716604469,0.489084103918227,0.0888290264826769,0.379072497938649
|
||||
2021,"NBS","SIN",835.916471702758,0,0.861926075951236,0.138073924048764,0
|
||||
2022,"NBI","AFRMY",1508.02793033993,0.0928239959096221,0.351348406690954,0.191833274953088,0.363994322446336
|
||||
2022,"NBI","AMCS",1253.60867656486,0.00155004878751767,0.414901184784682,0.079077187632123,0.504471578795677
|
||||
2022,"NBI","AMN",1603.84210069102,0.0233107034422129,0.399195566635614,0.0479893257361896,0.529504404185984
|
||||
2022,"NBI","ASIAUS",940.912955028639,0.0205676350844789,0.107599193269436,0.313939305146886,0.5578938664992
|
||||
2022,"NBI","CEI",1745.27844502451,0.00833915599876527,0.18921846489797,0.369509956297374,0.43293242280589
|
||||
2022,"NBI","CHN",1254.89850091034,0.0177947939078773,0.347283014203228,0.534906235380386,0.100015956508509
|
||||
2022,"NBI","EUR",1323.69990096757,0.0954795385367953,0.230089479151201,0.0519695510635642,0.622461431248439
|
||||
2022,"NBI","SIN",1243.99970231986,0,0.0592884712242457,0.137917967629151,0.802793561146603
|
||||
2022,"NBL","AFRMY",1676.60937263212,0.00281294148250758,0.534873022503775,0.143288502499541,0.319025533514176
|
||||
2022,"NBL","AMCS",1371.35837291087,8.20082972860506e-05,0.562808807640177,0.0380541338860963,0.399055050176441
|
||||
2022,"NBL","AMN",2054.24043496376,0.0183217001977137,0.760127960018196,0.125959978586627,0.0955903611974634
|
||||
2022,"NBL","ASIAUS",915.295801823025,0.00305899241747255,0.335999700744929,0.294693633557543,0.366247673280056
|
||||
2022,"NBL","CEI",2064.37589694466,0.0935933793784874,0.163971142624411,0.468512765498142,0.27392271249896
|
||||
2022,"NBL","CHN",1342.72615190688,0,0.721492954093771,0.242822087815385,0.0356849580908439
|
||||
2022,"NBL","EUR",1596.1270790658,0.0484788557290657,0.504223696059201,0.0606250058690828,0.38667244234265
|
||||
2022,"NBL","SIN",1214.63579642949,0,0.26197395277676,0.0981350053960581,0.639891041827182
|
||||
2022,"NBS","AFRMY",911.09338630692,0.00351769806258936,0.522374745960725,0.474107555976685,0
|
||||
2022,"NBS","AMCS",884.066743879667,0,0.575797186859166,0.145484987711224,0.27871782542961
|
||||
2022,"NBS","AMN",1158.47522743255,0.00374269998456825,0.396360775933847,0.0277995351662053,0.572096988915379
|
||||
2022,"NBS","ASIAUS",772.956060589141,0.00303386975872505,0.0530916415636241,0.828525538962808,0.115348949714842
|
||||
2022,"NBS","CEI",1589.78033325245,0.111400419373622,0,0.878810147303776,0.00978943332260171
|
||||
2022,"NBS","CHN",1085.29108387524,0,0.508404168500958,0.427733047993193,0.0638627835058491
|
||||
2022,"NBS","EUR",935.501417022643,0.0497429984106455,0.363821183684826,0.0810580895792733,0.505377728325256
|
||||
2022,"NBS","SIN",951.068123227409,0,0.920785060368375,0.0792149396316247,0
|
||||
2023,"NBI","AFRMY",1556.80725540075,0.108705729988229,0.357505917314596,0.189058468969886,0.344729883727289
|
||||
2023,"NBI","AMCS",1241.80819937441,0.0289649721176391,0.41397210082774,0.108470008003653,0.448592919050968
|
||||
2023,"NBI","AMN",1564.0567787468,0.0361240344242864,0.382880330125865,0.0376911413380658,0.543304494111783
|
||||
2023,"NBI","ASIAUS",1060.77102245777,0.0434597096601014,0.0996079028519961,0.263029878790639,0.593902508697264
|
||||
2023,"NBI","CEI",1826.74187551772,0.0161406537098493,0.181865607729458,0.451368477975653,0.35062526058504
|
||||
2023,"NBI","CHN",1283.76020047764,0.0216716274453564,0.351912323428936,0.531434528290253,0.0949815208354548
|
||||
2023,"NBI","EUR",1317.06560783486,0.107020107150277,0.228792064406469,0.0584522649085934,0.60573556353466
|
||||
2023,"NBI","SIN",1270.1874747079,0.00126325286810533,0.111853127830007,0.164994711115334,0.721888908186554
|
||||
2023,"NBL","AFRMY",1800.06458633877,0.0133801106637488,0.471638834214414,0.123224660013843,0.391756395107995
|
||||
2023,"NBL","AMCS",1471.55344394088,0.000357247706404697,0.514015409920159,0.0522471049169055,0.43338023745653
|
||||
2023,"NBL","AMN",2039.1261458019,0.0196181402759156,0.742988516683088,0.135165871294862,0.102227471746134
|
||||
2023,"NBL","ASIAUS",1166.41083664536,0.000821334636392441,0.337293163392121,0.258604343917637,0.403281158053849
|
||||
2023,"NBL","CEI",2075.76750196921,0.0793214969402916,0.155488785662149,0.497588719221434,0.267600998176125
|
||||
2023,"NBL","CHN",1406.90240627733,0,0.664221019460596,0.269499070261477,0.066279910277927
|
||||
2023,"NBL","EUR",1602.96286865254,0.0533530583431029,0.496518833895994,0.0684374957893583,0.381690611971545
|
||||
2023,"NBL","SIN",1207.05467159359,0.0144262416321987,0.100990835158525,0.0681571485731707,0.816425774636106
|
||||
2023,"NBS","AFRMY",948.355103599086,0.037007108754676,0.529137242613583,0.430945058144917,0.00291059048682419
|
||||
2023,"NBS","AMCS",816.632932817499,0.0403905851219203,0.543118516223362,0.128171678582223,0.288319220072495
|
||||
2023,"NBS","AMN",1161.48843882446,0.00544690110891447,0.397181519896337,0.0498032125672708,0.547568366427478
|
||||
2023,"NBS","ASIAUS",811.927507390515,0.00682706917018166,0.10350473181388,0.707316448782261,0.182351750233678
|
||||
2023,"NBS","CEI",1588.80512656602,0.0813996913130536,0,0.897450495806196,0.0211498128807507
|
||||
2023,"NBS","CHN",1146.74694167458,0,0.509160638468378,0.441672931770871,0.0491664297607512
|
||||
2023,"NBS","EUR",920.308789611741,0.0388582555858133,0.365848709273328,0.103845958454748,0.49144707668611
|
||||
2023,"NBS","SIN",878.739435661258,0,0.775025109785864,0.224974890214136,0
|
||||
2024,"NBI","AFRMY",1579.48948598743,0.106926908280134,0.360693015920477,0.189859687386662,0.342520388412728
|
||||
2024,"NBI","AMCS",1250.24403101588,0.0414159705614002,0.42689506003781,0.115876538651537,0.415812430749253
|
||||
2024,"NBI","AMN",1572.67501442444,0.0290876582832362,0.409449876448866,0.0362810938851846,0.525181371382713
|
||||
2024,"NBI","ASIAUS",1102.07739212829,0.0416770563805044,0.115549021444569,0.228050703639522,0.614723218535404
|
||||
2024,"NBI","CEI",1866.83639957087,0.0189098698362885,0.222097297249686,0.458414916894742,0.300577916019284
|
||||
2024,"NBI","CHN",1312.64618285207,0.0249347736528903,0.351847357160196,0.518839729058085,0.104378140128828
|
||||
2024,"NBI","EUR",1336.27890873247,0.117060447025523,0.221219359164198,0.0519930911985262,0.609727102611752
|
||||
2024,"NBI","SIN",1299.65489058005,0.00403312317372397,0.131350613355621,0.246597986209749,0.618018277260906
|
||||
2024,"NBL","AFRMY",1813.16505531261,0.0272968123923097,0.504343445099653,0.119369542405468,0.348990200102569
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||||
2024,"NBL","AMCS",1565.72427872587,4.64099990715566e-05,0.556344879125429,0.0858793866552136,0.357729324220286
|
||||
2024,"NBL","AMN",2016.70289863956,0.0190064682639889,0.729746049435679,0.133516084090153,0.117731398210178
|
||||
2024,"NBL","ASIAUS",1247.63101805903,0,0.319612032106869,0.237939997376194,0.442447970516937
|
||||
2024,"NBL","CEI",2129.65465842982,0.0947184787619097,0.199795510901423,0.391833862691685,0.313652147644982
|
||||
2024,"NBL","CHN",1439.87320871325,0,0.618327064319791,0.282286201130497,0.0993867345497127
|
||||
2024,"NBL","EUR",1582.37900032054,0.0495865933513587,0.524625418338014,0.0561882336431036,0.369599754667523
|
||||
2024,"NBL","SIN",1227.30839530482,0.0160878020325343,0.0980672061606923,0.0544868664544921,0.831358125352281
|
||||
2024,"NBS","AFRMY",974.930683434649,0.0109738988294409,0.472691828022828,0.516334273147731,0
|
||||
2024,"NBS","AMCS",832.631287060762,0.0199417808883177,0.523428155173699,0.116230273314328,0.340399790623655
|
||||
2024,"NBS","AMN",1186.58632652511,0.00575161404328503,0.383000903445285,0.0665835446228188,0.544663937888611
|
||||
2024,"NBS","ASIAUS",812.959679368,0.00582811965677951,0.0902622565260704,0.756055039507645,0.147854584309506
|
||||
2024,"NBS","CEI",1639.1455889578,0.123707299379575,0,0.861039993258657,0.0152527073617684
|
||||
2024,"NBS","CHN",1167.96541144834,0,0.499883693867715,0.446786177395235,0.0533301287370499
|
||||
2024,"NBS","EUR",931.780060361597,0.0332866124235474,0.389731268275063,0.127345695393135,0.449636423908255
|
||||
2024,"NBS","SIN",1120.54617865243,0.0205221386317005,0.540682750051481,0.438795111316819,0
|
||||
|
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M2/Clustering In Practice/data/Guppy 2.jpeg
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M2/Clustering In Practice/data/PampasGrass.jpg
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M2/Clustering In Practice/data/image_compressed.jpg
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After Width: | Height: | Size: 49 KiB |
1512
M2/Generative AI/TP2/TP2 Fitting.ipynb
Normal file
7696
M2/Generative AI/TP2/data/Complete.csv
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M2/Reinforcement Learning/CliffWalking.gif
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199
M2/Statistiques Non Paramétrique/TP2.Rmd
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@@ -0,0 +1,199 @@
|
||||
# Estimateur de Nadaraya-Watson
|
||||
|
||||
1.
|
||||
```{r}
|
||||
n = 500
|
||||
sigma2 = 0.01
|
||||
epsilon = rnorm(n, 0, sqrt(sigma2))
|
||||
|
||||
X = runif(n, 0, 1)
|
||||
Y = exp(abs(X - 0.5)) + epsilon
|
||||
|
||||
plot(X, Y, pch = 3)
|
||||
```
|
||||
|
||||
2.
|
||||
|
||||
```{r}
|
||||
library(np)
|
||||
|
||||
bw = npregbw(Y ~ X)
|
||||
ghat = npreg(bw)
|
||||
x = seq(0, 1, length.out = 100)
|
||||
|
||||
plot(ghat)
|
||||
points(x, exp(abs(x - 0.5)), type = 'l', col = 'darkgreen')
|
||||
legend(
|
||||
'top',
|
||||
c(expression(hat(g)[h]), 'g'),
|
||||
col = c(1, 'darkgreen'),
|
||||
lty = rep(1, 2)
|
||||
)
|
||||
```
|
||||
|
||||
3.
|
||||
|
||||
...
|
||||
|
||||
# Estimation par projection
|
||||
|
||||
4.
|
||||
|
||||
```{r}
|
||||
mmax = 100
|
||||
Dmax = 2 * mmax + 1
|
||||
phiX = matrix(1, n, Dmax)
|
||||
for (j in 1:mmax) {
|
||||
phiX[, 2 * j] = sqrt(2) * cos(2 * pi * j * X)
|
||||
phiX[, 2 * j + 1] = sqrt(2) * sin(2 * pi * j * X)
|
||||
}
|
||||
G = crossprod(phiX) / n
|
||||
```
|
||||
|
||||
5.
|
||||
|
||||
```{r}
|
||||
hatb = crossprod(phiX, Y) / n
|
||||
hata = solve(G, hatb)
|
||||
```
|
||||
|
||||
6.
|
||||
|
||||
```{r}
|
||||
p = 500
|
||||
t = seq(0, 1, length.out = p)
|
||||
phi = matrix(1, Dmax, p)
|
||||
|
||||
for (j in 1:mmax) {
|
||||
phi[2 * j, ] = sqrt(2) * cos(2 * pi * j * t)
|
||||
phi[2 * j + 1, ] = sqrt(2) * sin(2 * pi * j * t)
|
||||
}
|
||||
|
||||
hatg = crossprod(phi, hata)
|
||||
|
||||
plot(t, hatg, type = 'l', col = 'red')
|
||||
points(t, exp(abs(t - 0.5)), type = 'l', col = 'darkgreen')
|
||||
legend(
|
||||
'topright',
|
||||
c('g', expression(hat(g)[501])),
|
||||
lty = c(1, 1),
|
||||
col = c('darkgreen', 'red')
|
||||
)
|
||||
```
|
||||
|
||||
7.
|
||||
|
||||
|
||||
```{r}
|
||||
hata1 = solve(G[1, 1], hatb[1])
|
||||
hatg1 = hata1 * phi[1, ]
|
||||
|
||||
hata3 = solve(G[1:3, 1:3], hatb[1:3])
|
||||
hatg3 = crossprod(phi[1:3, ], hata3)
|
||||
|
||||
hata5 = solve(G[1:5, 1:5], hatb[1:5])
|
||||
hatg5 = crossprod(phi[1:5, ], hata5)
|
||||
|
||||
plot(t, hatg, type = 'l', col = 'red', main = 'Projection estimators')
|
||||
points(t, exp(abs(t - 0.5)), type = 'l', col = 'darkgreen')
|
||||
points(t, hatg1, type = 'l', col = 'blue')
|
||||
points(t, hatg3, type = 'l', col = 'green')
|
||||
points(t, hatg5, type = 'l', col = 'purple')
|
||||
legend(
|
||||
'topright',
|
||||
c(
|
||||
'g',
|
||||
expression(hat(g)[1]),
|
||||
expression(hat(g)[3]),
|
||||
expression(hat(g)[5]),
|
||||
expression(hat(g)[501])
|
||||
),
|
||||
lty = rep(1, 5),
|
||||
col = c('darkgreen', 'blue', 'green', 'purple', 'red')
|
||||
)
|
||||
```
|
||||
|
||||
```{r}
|
||||
kappa = 2.5
|
||||
mmax = 10
|
||||
gamman = rep(NA, mmax)
|
||||
penm = sigma2 * (2 * (1:mmax) + 1) / n
|
||||
for (m in 1:mmax) {
|
||||
hatam = solve(G[1:(2 * m + 1), 1:(2 * m + 1)], hatb[1:(2 * m + 1)])
|
||||
hatgmX = crossprod(t(phiX[, 1:(2 * m + 1)]), hatam)
|
||||
gamman[m] = mean((Y - hatgmX)^2)
|
||||
}
|
||||
crit = gamman + kappa * penm
|
||||
plot(
|
||||
(2 * (1:mmax) + 1),
|
||||
gamman,
|
||||
type = 'l',
|
||||
ylim = range(c(gamman, crit, kappa * penm)),
|
||||
xlab = 'm',
|
||||
ylab = 'crit(m)',
|
||||
col = 'blue'
|
||||
)
|
||||
points((2 * (1:mmax) + 1), kappa * penm, type = 'l', col = 'red')
|
||||
points((2 * (1:mmax) + 1), crit, type = 'l')
|
||||
legend(
|
||||
'left',
|
||||
c('contraste', 'penalité', 'critère'),
|
||||
col = c('blue', 'red', 1),
|
||||
lty = rep(1, 3)
|
||||
)
|
||||
hatm = which.min(crit)
|
||||
points(2 * hatm + 1, crit[hatm], pch = 16)
|
||||
```
|
||||
|
||||
```{r}
|
||||
hatahatm = solve(G[1:(2 * hatm + 1), 1:(2 * hatm + 1)], hatb[1:(2 * hatm + 1)])
|
||||
hatghatm = crossprod(phi[1:(2 * hatm + 1), ], hatahatm)
|
||||
plot(
|
||||
t,
|
||||
hatghatm,
|
||||
type = 'l',
|
||||
col = 'green',
|
||||
main = 'Selected projection estimators',
|
||||
ylab = expression(hat(g)[hat(m)](t))
|
||||
)
|
||||
points(t, exp(abs(t - 0.5)), type = 'l', col = 'darkgreen')
|
||||
```
|
||||
|
||||
# Application aux données réelles
|
||||
|
||||
9.
|
||||
|
||||
|
||||
```{r}
|
||||
data(cps71)
|
||||
attach(cps71)
|
||||
plot(age, logwage, xlab = "Age", ylab = "log(wage)")
|
||||
```
|
||||
|
||||
|
||||
```{r}
|
||||
bw = npregbw(logwage ~ age)
|
||||
ghat = npreg(bw)
|
||||
|
||||
print(bw)
|
||||
|
||||
plot(ghat, xlab = "Age", ylab = "log(wage)")
|
||||
points(age, logwage)
|
||||
```
|
||||
|
||||
10.
|
||||
|
||||
```{r}
|
||||
data(Italy)
|
||||
attach(Italy)
|
||||
|
||||
plot(year, gdp, xlab = "Année", ylab = "GDP")
|
||||
```
|
||||
|
||||
|
||||
```{r}
|
||||
bw = npregbw(gdp ~ year)
|
||||
ghat = npreg(bw)
|
||||
|
||||
plot(ghat, xlab="Année", ylab="gdp",type='l')
|
||||
```
|
||||
@@ -5,8 +5,11 @@ description = "A curated collection of mathematics and data science projects dev
|
||||
readme = "README.md"
|
||||
requires-python = ">= 3.11"
|
||||
dependencies = [
|
||||
"accelerate>=1.12.0",
|
||||
"catboost>=1.2.8",
|
||||
"datasets>=4.4.2",
|
||||
"faiss-cpu>=1.13.2",
|
||||
"gymnasium[toy-text]>=1.2.3",
|
||||
"imblearn>=0.0",
|
||||
"ipykernel>=6.29.5",
|
||||
"langchain>=1.2.0",
|
||||
@@ -29,8 +32,10 @@ dependencies = [
|
||||
"seaborn>=0.13.2",
|
||||
"sentence-transformers>=5.2.0",
|
||||
"shap>=0.49.1",
|
||||
"statsmodels>=0.14.6",
|
||||
"tensorflow>=2.20.0",
|
||||
"tf-keras>=2.20.1",
|
||||
"umap-learn>=0.5.11",
|
||||
"xgboost>=3.1.2",
|
||||
"yfinance>=0.2.66",
|
||||
]
|
||||
@@ -59,7 +64,8 @@ ignore = [
|
||||
"T201", # Print
|
||||
"N806",
|
||||
"N803",
|
||||
"N802"
|
||||
"N802",
|
||||
"N816",
|
||||
]
|
||||
|
||||
# Exclure certains fichiers ou répertoires
|
||||
|
||||
285
uv.lock
generated
@@ -22,6 +22,24 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/8f/aa/ba0014cc4659328dc818a28827be78e6d97312ab0cb98105a770924dc11e/absl_py-2.3.1-py3-none-any.whl", hash = "sha256:eeecf07f0c2a93ace0772c92e596ace6d3d3996c042b2128459aaae2a76de11d", size = 135811, upload-time = "2025-07-03T09:31:42.253Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "accelerate"
|
||||
version = "1.12.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "huggingface-hub" },
|
||||
{ name = "numpy" },
|
||||
{ name = "packaging" },
|
||||
{ name = "psutil" },
|
||||
{ name = "pyyaml" },
|
||||
{ name = "safetensors" },
|
||||
{ name = "torch" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/4a/8e/ac2a9566747a93f8be36ee08532eb0160558b07630a081a6056a9f89bf1d/accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6", size = 398399, upload-time = "2025-11-21T11:27:46.973Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/9f/d2/c581486aa6c4fbd7394c23c47b83fa1a919d34194e16944241daf9e762dd/accelerate-1.12.0-py3-none-any.whl", hash = "sha256:3e2091cd341423207e2f084a6654b1efcd250dc326f2a37d6dde446e07cabb11", size = 380935, upload-time = "2025-11-21T11:27:44.522Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "aiohappyeyeballs"
|
||||
version = "2.6.1"
|
||||
@@ -484,6 +502,31 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c3/be/d0d44e092656fe7a06b55e6103cbce807cdbdee17884a5367c68c9860853/dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a", size = 28686, upload-time = "2024-06-09T16:20:16.715Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "datasets"
|
||||
version = "4.4.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "dill" },
|
||||
{ name = "filelock" },
|
||||
{ name = "fsspec", extra = ["http"] },
|
||||
{ name = "httpx" },
|
||||
{ name = "huggingface-hub" },
|
||||
{ name = "multiprocess" },
|
||||
{ name = "numpy" },
|
||||
{ name = "packaging" },
|
||||
{ name = "pandas" },
|
||||
{ name = "pyarrow" },
|
||||
{ name = "pyyaml" },
|
||||
{ name = "requests" },
|
||||
{ name = "tqdm" },
|
||||
{ name = "xxhash" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/c4/54/9359803da96bc65439a28fbb014dc2c90b7d4d8034a93b72362b0d40191f/datasets-4.4.2.tar.gz", hash = "sha256:9de16e415c4ba4713eac0493f7c7dc74f3aa21599297f00cc6ddab409cb7b24b", size = 586474, upload-time = "2025-12-19T15:03:09.129Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/7b/b5/fefa518c809de7bced5cddb7c21c010da66fa2ae494bda96844a280cc6ce/datasets-4.4.2-py3-none-any.whl", hash = "sha256:6f5ef3417504d9cd663c71c1b90b9a494ff4c2076a2cd6a6e40ceee6ad95befc", size = 512268, upload-time = "2025-12-19T15:03:07.087Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "debugpy"
|
||||
version = "1.8.14"
|
||||
@@ -514,6 +557,15 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/4e/8c/f3147f5c4b73e7550fe5f9352eaa956ae838d5c51eb58e7a25b9f3e2643b/decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a", size = 9190, upload-time = "2025-02-24T04:41:32.565Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "dill"
|
||||
version = "0.4.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/12/80/630b4b88364e9a8c8c5797f4602d0f76ef820909ee32f0bacb9f90654042/dill-0.4.0.tar.gz", hash = "sha256:0633f1d2df477324f53a895b02c901fb961bdbf65a17122586ea7019292cbcf0", size = 186976, upload-time = "2025-04-16T00:41:48.867Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/50/3d/9373ad9c56321fdab5b41197068e1d8c25883b3fea29dd361f9b55116869/dill-0.4.0-py3-none-any.whl", hash = "sha256:44f54bf6412c2c8464c14e8243eb163690a9800dbe2c367330883b19c7561049", size = 119668, upload-time = "2025-04-16T00:41:47.671Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "et-xmlfile"
|
||||
version = "2.0.0"
|
||||
@@ -557,6 +609,15 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/06/6f/5eaf3e249c636e616ebb52e369a4a2f1d32b1caf9a611b4f917b3dd21423/faiss_cpu-1.13.2-cp314-cp314-win_arm64.whl", hash = "sha256:8113a2a80b59fe5653cf66f5c0f18be0a691825601a52a614c30beb1fca9bc7c", size = 8556374, upload-time = "2025-12-24T10:27:36.653Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "farama-notifications"
|
||||
version = "0.0.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/2e/2c/8384832b7a6b1fd6ba95bbdcae26e7137bb3eedc955c42fd5cdcc086cfbf/Farama-Notifications-0.0.4.tar.gz", hash = "sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18", size = 2131, upload-time = "2023-02-27T18:28:41.047Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/05/2c/ffc08c54c05cdce6fbed2aeebc46348dbe180c6d2c541c7af7ba0aa5f5f8/Farama_Notifications-0.0.4-py3-none-any.whl", hash = "sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae", size = 2511, upload-time = "2023-02-27T18:28:39.447Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "fastjsonschema"
|
||||
version = "2.21.2"
|
||||
@@ -735,11 +796,16 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "fsspec"
|
||||
version = "2025.12.0"
|
||||
version = "2025.10.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/b6/27/954057b0d1f53f086f681755207dda6de6c660ce133c829158e8e8fe7895/fsspec-2025.12.0.tar.gz", hash = "sha256:c505de011584597b1060ff778bb664c1bc022e87921b0e4f10cc9c44f9635973", size = 309748, upload-time = "2025-12-03T15:23:42.687Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/24/7f/2747c0d332b9acfa75dc84447a066fdf812b5a6b8d30472b74d309bfe8cb/fsspec-2025.10.0.tar.gz", hash = "sha256:b6789427626f068f9a83ca4e8a3cc050850b6c0f71f99ddb4f542b8266a26a59", size = 309285, upload-time = "2025-10-30T14:58:44.036Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/51/c7/b64cae5dba3a1b138d7123ec36bb5ccd39d39939f18454407e5468f4763f/fsspec-2025.12.0-py3-none-any.whl", hash = "sha256:8bf1fe301b7d8acfa6e8571e3b1c3d158f909666642431cc78a1b7b4dbc5ec5b", size = 201422, upload-time = "2025-12-03T15:23:41.434Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/eb/02/a6b21098b1d5d6249b7c5ab69dde30108a71e4e819d4a9778f1de1d5b70d/fsspec-2025.10.0-py3-none-any.whl", hash = "sha256:7c7712353ae7d875407f97715f0e1ffcc21e33d5b24556cb1e090ae9409ec61d", size = 200966, upload-time = "2025-10-30T14:58:42.53Z" },
|
||||
]
|
||||
|
||||
[package.optional-dependencies]
|
||||
http = [
|
||||
{ name = "aiohttp" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -857,6 +923,26 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/34/80/de3eb55eb581815342d097214bed4c59e806b05f1b3110df03b2280d6dfd/grpcio-1.74.0-cp313-cp313-win_amd64.whl", hash = "sha256:fd3c71aeee838299c5887230b8a1822795325ddfea635edd82954c1eaa831e24", size = 4489214, upload-time = "2025-07-24T18:53:59.771Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "gymnasium"
|
||||
version = "1.2.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "cloudpickle" },
|
||||
{ name = "farama-notifications" },
|
||||
{ name = "numpy" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/76/59/653a9417d98ed3e29ef9734ba52c3495f6c6823b8d5c0c75369f25111708/gymnasium-1.2.3.tar.gz", hash = "sha256:2b2cb5b5fbbbdf3afb9f38ca952cc48aa6aa3e26561400d940747fda3ad42509", size = 829230, upload-time = "2025-12-18T16:51:10.234Z" }
|
||||
wheels = [
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