| 1 | { |
| 2 | "cells": [ |
| 3 | { |
| 4 | "cell_type": "markdown", |
| 5 | "metadata": {}, |
| 6 | "source": [ |
| 7 | "\n", |
| 8 | "\n", |
| 9 | "<h2>Introduction</h2>\n", |
| 10 | "\n", |
| 11 | "J'ai fait quelques essais dans différentes configurations pour la méthode \"Neighbors\"\n", |
| 12 | "(la seule dont on a parlé) et sa variante récente appelée pour l'instant \"Neighbors2\",\n", |
| 13 | "avec simtype=\"mix\" : deux types de similarités prises en compte, puis multiplication des poids.\n", |
| 14 | "Pour Neighbors on prédit le saut (par la moyenne pondérée des sauts passés), et pour Neighbors2\n", |
| 15 | "on n'effectue aucun raccordement (prévision directe).\n", |
| 16 | "\n", |
| 17 | "J'ai systématiquement comparé à une approche naïve : la moyenne des lendemains des jours\n", |
| 18 | "\"similaires\" dans tout le passé, ainsi qu'à la persistence -- reproduisant le jour courant ou\n", |
| 19 | "allant chercher le futur similaire une semaine avant.\n", |
| 20 | "\n", |
| 21 | "Ensuite j'affiche les erreurs, quelques courbes prévues/mesurées, quelques filaments puis les\n", |
| 22 | "histogrammes de quelques poids. Concernant les graphes de filaments, la moitié gauche du graphe\n", |
| 23 | "correspond aux jours similaires au jour courant, tandis que la moitié droite affiche les\n", |
| 24 | "lendemains : ce sont donc les voisinages tels qu'utilisés dans l'algorithme.\n", |
| 25 | "\n" |
| 26 | ] |
| 27 | }, |
| 28 | { |
| 29 | "cell_type": "code", |
| 30 | "execution_count": null, |
| 31 | "metadata": {}, |
| 32 | "outputs": [], |
| 33 | "source": [ |
| 34 | "library(talweg)\n", |
| 35 | "\n", |
| 36 | "P = 7 #instant de prévision\n", |
| 37 | "H = 17 #horizon (en heures)\n", |
| 38 | "\n", |
| 39 | "ts_data = read.csv(system.file(\"extdata\",\"pm10_mesures_H_loc_report.csv\",package=\"talweg\"))\n", |
| 40 | "exo_data = read.csv(system.file(\"extdata\",\"meteo_extra_noNAs.csv\",package=\"talweg\"))\n", |
| 41 | "# NOTE: 'GMT' because DST gaps are filled and multiple values merged in above dataset.\n", |
| 42 | "# Prediction from P+1 to P+H included.\n", |
| 43 | "data = getData(ts_data, exo_data, input_tz = \"GMT\", working_tz=\"GMT\", predict_at=P)\n", |
| 44 | "\n", |
| 45 | "indices_ch = seq(as.Date(\"2015-01-18\"),as.Date(\"2015-01-24\"),\"days\")\n", |
| 46 | "indices_ep = seq(as.Date(\"2015-03-15\"),as.Date(\"2015-03-21\"),\"days\")\n", |
| 47 | "indices_np = seq(as.Date(\"2015-04-26\"),as.Date(\"2015-05-02\"),\"days\")\n" |
| 48 | ] |
| 49 | }, |
| 50 | { |
| 51 | "cell_type": "markdown", |
| 52 | "metadata": {}, |
| 53 | "source": [ |
| 54 | "\n", |
| 55 | "\n", |
| 56 | "<h2 style=\"color:blue;font-size:2em\">Pollution par chauffage</h2>" |
| 57 | ] |
| 58 | }, |
| 59 | { |
| 60 | "cell_type": "code", |
| 61 | "execution_count": null, |
| 62 | "metadata": {}, |
| 63 | "outputs": [], |
| 64 | "source": [ |
| 65 | "p_nn = computeForecast(data, indices_ch, \"Neighbors\", \"Neighbors\", horizon=H)\n", |
| 66 | "p_nn2 = computeForecast(data, indices_ch, \"Neighbors2\", \"Zero\", horizon=H)\n", |
| 67 | "p_az = computeForecast(data, indices_ch, \"Average\", \"Zero\", horizon=H)\n", |
| 68 | "p_pz = computeForecast(data, indices_ch, \"Persistence\", \"Zero\", horizon=H, same_day=TRUE)" |
| 69 | ] |
| 70 | }, |
| 71 | { |
| 72 | "cell_type": "code", |
| 73 | "execution_count": null, |
| 74 | "metadata": {}, |
| 75 | "outputs": [], |
| 76 | "source": [ |
| 77 | "e_nn = computeError(data, p_nn, H)\n", |
| 78 | "e_nn2 = computeError(data, p_nn2, H)\n", |
| 79 | "e_az = computeError(data, p_az, H)\n", |
| 80 | "e_pz = computeError(data, p_pz, H)\n", |
| 81 | "options(repr.plot.width=9, repr.plot.height=7)\n", |
| 82 | "plotError(list(e_nn, e_pz, e_az, e_nn2), cols=c(1,2,colors()[258], 4))\n", |
| 83 | "\n", |
| 84 | "# Noir: Neighbors, bleu: Neighbors2, vert: moyenne, rouge: persistence\n", |
| 85 | "\n", |
| 86 | "i_np = which.min(e_nn$abs$indices)\n", |
| 87 | "i_p = which.max(e_nn$abs$indices)" |
| 88 | ] |
| 89 | }, |
| 90 | { |
| 91 | "cell_type": "code", |
| 92 | "execution_count": null, |
| 93 | "metadata": {}, |
| 94 | "outputs": [], |
| 95 | "source": [ |
| 96 | "options(repr.plot.width=9, repr.plot.height=4)\n", |
| 97 | "par(mfrow=c(1,2))\n", |
| 98 | "\n", |
| 99 | "plotPredReal(data, p_nn, i_np); title(paste(\"PredReal nn day\",i_np))\n", |
| 100 | "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn day\",i_p))\n", |
| 101 | "\n", |
| 102 | "plotPredReal(data, p_nn2, i_np); title(paste(\"PredReal nn2 day\",i_np))\n", |
| 103 | "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn2 day\",i_p))\n", |
| 104 | "\n", |
| 105 | "plotPredReal(data, p_az, i_np); title(paste(\"PredReal az day\",i_np))\n", |
| 106 | "plotPredReal(data, p_az, i_p); title(paste(\"PredReal az day\",i_p))\n", |
| 107 | "\n", |
| 108 | "# Bleu: prévue, noir: réalisée" |
| 109 | ] |
| 110 | }, |
| 111 | { |
| 112 | "cell_type": "code", |
| 113 | "execution_count": null, |
| 114 | "metadata": {}, |
| 115 | "outputs": [], |
| 116 | "source": [ |
| 117 | "par(mfrow=c(1,2))\n", |
| 118 | "f_np = computeFilaments(data, p_nn, i_np, plot=TRUE); title(paste(\"Filaments nn day\",i_np))\n", |
| 119 | "f_p = computeFilaments(data, p_nn, i_p, plot=TRUE); title(paste(\"Filaments nn day\",i_p))\n", |
| 120 | "\n", |
| 121 | "f_np2 = computeFilaments(data, p_nn2, i_np, plot=TRUE); title(paste(\"Filaments nn2 day\",i_np))\n", |
| 122 | "f_p2 = computeFilaments(data, p_nn2, i_p, plot=TRUE); title(paste(\"Filaments nn2 day\",i_p))" |
| 123 | ] |
| 124 | }, |
| 125 | { |
| 126 | "cell_type": "code", |
| 127 | "execution_count": null, |
| 128 | "metadata": {}, |
| 129 | "outputs": [], |
| 130 | "source": [ |
| 131 | "par(mfrow=c(1,2))\n", |
| 132 | "plotFilamentsBox(data, f_np); title(paste(\"FilBox nn day\",i_np))\n", |
| 133 | "plotFilamentsBox(data, f_p); title(paste(\"FilBox nn day\",i_p))\n", |
| 134 | "\n", |
| 135 | "# Generally too few neighbors:\n", |
| 136 | "#plotFilamentsBox(data, f_np2); title(paste(\"FilBox nn2 day\",i_np))\n", |
| 137 | "#plotFilamentsBox(data, f_p2); title(paste(\"FilBox nn2 day\",i_p))" |
| 138 | ] |
| 139 | }, |
| 140 | { |
| 141 | "cell_type": "code", |
| 142 | "execution_count": null, |
| 143 | "metadata": {}, |
| 144 | "outputs": [], |
| 145 | "source": [ |
| 146 | "par(mfrow=c(1,2))\n", |
| 147 | "plotRelVar(data, f_np); title(paste(\"StdDev nn day\",i_np))\n", |
| 148 | "plotRelVar(data, f_p); title(paste(\"StdDev nn day\",i_p))\n", |
| 149 | "\n", |
| 150 | "plotRelVar(data, f_np2); title(paste(\"StdDev nn2 day\",i_np))\n", |
| 151 | "plotRelVar(data, f_p2); title(paste(\"StdDev nn2 day\",i_p))\n", |
| 152 | "\n", |
| 153 | "# Variabilité globale en rouge ; sur les 60 voisins (+ lendemains) en noir" |
| 154 | ] |
| 155 | }, |
| 156 | { |
| 157 | "cell_type": "code", |
| 158 | "execution_count": null, |
| 159 | "metadata": {}, |
| 160 | "outputs": [], |
| 161 | "source": [ |
| 162 | "par(mfrow=c(1,2))\n", |
| 163 | "plotSimils(p_nn, i_np); title(paste(\"Weights nn day\",i_np))\n", |
| 164 | "plotSimils(p_nn, i_p); title(paste(\"Weights nn day\",i_p))\n", |
| 165 | "\n", |
| 166 | "plotSimils(p_nn2, i_np); title(paste(\"Weights nn2 day\",i_np))\n", |
| 167 | "plotSimils(p_nn2, i_p); title(paste(\"Weights nn2 day\",i_p))\n", |
| 168 | "\n", |
| 169 | "# - pollué à gauche, + pollué à droite" |
| 170 | ] |
| 171 | }, |
| 172 | { |
| 173 | "cell_type": "code", |
| 174 | "execution_count": null, |
| 175 | "metadata": {}, |
| 176 | "outputs": [], |
| 177 | "source": [ |
| 178 | "# Fenêtres sélectionnées dans ]0,7] / nn à gauche, nn2 à droite\n", |
| 179 | "p_nn$getParams(i_np)$window\n", |
| 180 | "p_nn$getParams(i_p)$window\n", |
| 181 | "\n", |
| 182 | "p_nn2$getParams(i_np)$window\n", |
| 183 | "p_nn2$getParams(i_p)$window" |
| 184 | ] |
| 185 | }, |
| 186 | { |
| 187 | "cell_type": "markdown", |
| 188 | "metadata": {}, |
| 189 | "source": [ |
| 190 | "\n", |
| 191 | "\n", |
| 192 | "<h2 style=\"color:blue;font-size:2em\">Pollution par épandage</h2>" |
| 193 | ] |
| 194 | }, |
| 195 | { |
| 196 | "cell_type": "code", |
| 197 | "execution_count": null, |
| 198 | "metadata": {}, |
| 199 | "outputs": [], |
| 200 | "source": [ |
| 201 | "p_nn = computeForecast(data, indices_ep, \"Neighbors\", \"Neighbors\", horizon=H)\n", |
| 202 | "p_nn2 = computeForecast(data, indices_ep, \"Neighbors2\", \"Zero\", horizon=H)\n", |
| 203 | "p_az = computeForecast(data, indices_ep, \"Average\", \"Zero\", horizon=H)\n", |
| 204 | "p_pz = computeForecast(data, indices_ep, \"Persistence\", \"Zero\", horizon=H, same_day=TRUE)" |
| 205 | ] |
| 206 | }, |
| 207 | { |
| 208 | "cell_type": "code", |
| 209 | "execution_count": null, |
| 210 | "metadata": {}, |
| 211 | "outputs": [], |
| 212 | "source": [ |
| 213 | "e_nn = computeError(data, p_nn, H)\n", |
| 214 | "e_nn2 = computeError(data, p_nn2, H)\n", |
| 215 | "e_az = computeError(data, p_az, H)\n", |
| 216 | "e_pz = computeError(data, p_pz, H)\n", |
| 217 | "options(repr.plot.width=9, repr.plot.height=7)\n", |
| 218 | "plotError(list(e_nn, e_pz, e_az, e_nn2), cols=c(1,2,colors()[258], 4))\n", |
| 219 | "\n", |
| 220 | "# Noir: Neighbors, bleu: Neighbors2, vert: moyenne, rouge: persistence\n", |
| 221 | "\n", |
| 222 | "i_np = which.min(e_nn$abs$indices)\n", |
| 223 | "i_p = which.max(e_nn$abs$indices)" |
| 224 | ] |
| 225 | }, |
| 226 | { |
| 227 | "cell_type": "code", |
| 228 | "execution_count": null, |
| 229 | "metadata": {}, |
| 230 | "outputs": [], |
| 231 | "source": [ |
| 232 | "options(repr.plot.width=9, repr.plot.height=4)\n", |
| 233 | "par(mfrow=c(1,2))\n", |
| 234 | "\n", |
| 235 | "plotPredReal(data, p_nn, i_np); title(paste(\"PredReal nn day\",i_np))\n", |
| 236 | "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn day\",i_p))\n", |
| 237 | "\n", |
| 238 | "plotPredReal(data, p_nn2, i_np); title(paste(\"PredReal nn2 day\",i_np))\n", |
| 239 | "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn2 day\",i_p))\n", |
| 240 | "\n", |
| 241 | "plotPredReal(data, p_az, i_np); title(paste(\"PredReal az day\",i_np))\n", |
| 242 | "plotPredReal(data, p_az, i_p); title(paste(\"PredReal az day\",i_p))\n", |
| 243 | "\n", |
| 244 | "# Bleu: prévue, noir: réalisée" |
| 245 | ] |
| 246 | }, |
| 247 | { |
| 248 | "cell_type": "code", |
| 249 | "execution_count": null, |
| 250 | "metadata": {}, |
| 251 | "outputs": [], |
| 252 | "source": [ |
| 253 | "par(mfrow=c(1,2))\n", |
| 254 | "f_np = computeFilaments(data, p_nn, i_np, plot=TRUE); title(paste(\"Filaments nn day\",i_np))\n", |
| 255 | "f_p = computeFilaments(data, p_nn, i_p, plot=TRUE); title(paste(\"Filaments nn day\",i_p))\n", |
| 256 | "\n", |
| 257 | "f_np2 = computeFilaments(data, p_nn2, i_np, plot=TRUE); title(paste(\"Filaments nn2 day\",i_np))\n", |
| 258 | "f_p2 = computeFilaments(data, p_nn2, i_p, plot=TRUE); title(paste(\"Filaments nn2 day\",i_p))" |
| 259 | ] |
| 260 | }, |
| 261 | { |
| 262 | "cell_type": "code", |
| 263 | "execution_count": null, |
| 264 | "metadata": {}, |
| 265 | "outputs": [], |
| 266 | "source": [ |
| 267 | "par(mfrow=c(1,2))\n", |
| 268 | "plotFilamentsBox(data, f_np); title(paste(\"FilBox nn day\",i_np))\n", |
| 269 | "plotFilamentsBox(data, f_p); title(paste(\"FilBox nn day\",i_p))\n", |
| 270 | "\n", |
| 271 | "# Generally too few neighbors:\n", |
| 272 | "#plotFilamentsBox(data, f_np2); title(paste(\"FilBox nn2 day\",i_np))\n", |
| 273 | "#plotFilamentsBox(data, f_p2); title(paste(\"FilBox nn2 day\",i_p))" |
| 274 | ] |
| 275 | }, |
| 276 | { |
| 277 | "cell_type": "code", |
| 278 | "execution_count": null, |
| 279 | "metadata": {}, |
| 280 | "outputs": [], |
| 281 | "source": [ |
| 282 | "par(mfrow=c(1,2))\n", |
| 283 | "plotRelVar(data, f_np); title(paste(\"StdDev nn day\",i_np))\n", |
| 284 | "plotRelVar(data, f_p); title(paste(\"StdDev nn day\",i_p))\n", |
| 285 | "\n", |
| 286 | "plotRelVar(data, f_np2); title(paste(\"StdDev nn2 day\",i_np))\n", |
| 287 | "plotRelVar(data, f_p2); title(paste(\"StdDev nn2 day\",i_p))\n", |
| 288 | "\n", |
| 289 | "# Variabilité globale en rouge ; sur les 60 voisins (+ lendemains) en noir" |
| 290 | ] |
| 291 | }, |
| 292 | { |
| 293 | "cell_type": "code", |
| 294 | "execution_count": null, |
| 295 | "metadata": {}, |
| 296 | "outputs": [], |
| 297 | "source": [ |
| 298 | "par(mfrow=c(1,2))\n", |
| 299 | "plotSimils(p_nn, i_np); title(paste(\"Weights nn day\",i_np))\n", |
| 300 | "plotSimils(p_nn, i_p); title(paste(\"Weights nn day\",i_p))\n", |
| 301 | "\n", |
| 302 | "plotSimils(p_nn2, i_np); title(paste(\"Weights nn2 day\",i_np))\n", |
| 303 | "plotSimils(p_nn2, i_p); title(paste(\"Weights nn2 day\",i_p))\n", |
| 304 | "\n", |
| 305 | "# - pollué à gauche, + pollué à droite" |
| 306 | ] |
| 307 | }, |
| 308 | { |
| 309 | "cell_type": "code", |
| 310 | "execution_count": null, |
| 311 | "metadata": {}, |
| 312 | "outputs": [], |
| 313 | "source": [ |
| 314 | "# Fenêtres sélectionnées dans ]0,7] / nn à gauche, nn2 à droite\n", |
| 315 | "p_nn$getParams(i_np)$window\n", |
| 316 | "p_nn$getParams(i_p)$window\n", |
| 317 | "\n", |
| 318 | "p_nn2$getParams(i_np)$window\n", |
| 319 | "p_nn2$getParams(i_p)$window" |
| 320 | ] |
| 321 | }, |
| 322 | { |
| 323 | "cell_type": "markdown", |
| 324 | "metadata": {}, |
| 325 | "source": [ |
| 326 | "\n", |
| 327 | "\n", |
| 328 | "<h2 style=\"color:blue;font-size:2em\">Semaine non polluée</h2>" |
| 329 | ] |
| 330 | }, |
| 331 | { |
| 332 | "cell_type": "code", |
| 333 | "execution_count": null, |
| 334 | "metadata": {}, |
| 335 | "outputs": [], |
| 336 | "source": [ |
| 337 | "p_nn = computeForecast(data, indices_np, \"Neighbors\", \"Neighbors\", horizon=H)\n", |
| 338 | "p_nn2 = computeForecast(data, indices_np, \"Neighbors2\", \"Zero\", horizon=H)\n", |
| 339 | "p_az = computeForecast(data, indices_np, \"Average\", \"Zero\", horizon=H)\n", |
| 340 | "p_pz = computeForecast(data, indices_np, \"Persistence\", \"Zero\", horizon=H, same_day=FALSE)" |
| 341 | ] |
| 342 | }, |
| 343 | { |
| 344 | "cell_type": "code", |
| 345 | "execution_count": null, |
| 346 | "metadata": {}, |
| 347 | "outputs": [], |
| 348 | "source": [ |
| 349 | "e_nn = computeError(data, p_nn, H)\n", |
| 350 | "e_nn2 = computeError(data, p_nn2, H)\n", |
| 351 | "e_az = computeError(data, p_az, H)\n", |
| 352 | "e_pz = computeError(data, p_pz, H)\n", |
| 353 | "options(repr.plot.width=9, repr.plot.height=7)\n", |
| 354 | "plotError(list(e_nn, e_pz, e_az, e_nn2), cols=c(1,2,colors()[258], 4))\n", |
| 355 | "\n", |
| 356 | "# Noir: Neighbors, bleu: Neighbors2, vert: moyenne, rouge: persistence\n", |
| 357 | "\n", |
| 358 | "i_np = which.min(e_nn$abs$indices)\n", |
| 359 | "i_p = which.max(e_nn$abs$indices)" |
| 360 | ] |
| 361 | }, |
| 362 | { |
| 363 | "cell_type": "code", |
| 364 | "execution_count": null, |
| 365 | "metadata": {}, |
| 366 | "outputs": [], |
| 367 | "source": [ |
| 368 | "options(repr.plot.width=9, repr.plot.height=4)\n", |
| 369 | "par(mfrow=c(1,2))\n", |
| 370 | "\n", |
| 371 | "plotPredReal(data, p_nn, i_np); title(paste(\"PredReal nn day\",i_np))\n", |
| 372 | "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn day\",i_p))\n", |
| 373 | "\n", |
| 374 | "plotPredReal(data, p_nn2, i_np); title(paste(\"PredReal nn2 day\",i_np))\n", |
| 375 | "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn2 day\",i_p))\n", |
| 376 | "\n", |
| 377 | "plotPredReal(data, p_az, i_np); title(paste(\"PredReal az day\",i_np))\n", |
| 378 | "plotPredReal(data, p_az, i_p); title(paste(\"PredReal az day\",i_p))\n", |
| 379 | "\n", |
| 380 | "# Bleu: prévue, noir: réalisée" |
| 381 | ] |
| 382 | }, |
| 383 | { |
| 384 | "cell_type": "code", |
| 385 | "execution_count": null, |
| 386 | "metadata": {}, |
| 387 | "outputs": [], |
| 388 | "source": [ |
| 389 | "par(mfrow=c(1,2))\n", |
| 390 | "f_np = computeFilaments(data, p_nn, i_np, plot=TRUE); title(paste(\"Filaments nn day\",i_np))\n", |
| 391 | "f_p = computeFilaments(data, p_nn, i_p, plot=TRUE); title(paste(\"Filaments nn day\",i_p))\n", |
| 392 | "\n", |
| 393 | "f_np2 = computeFilaments(data, p_nn2, i_np, plot=TRUE); title(paste(\"Filaments nn2 day\",i_np))\n", |
| 394 | "f_p2 = computeFilaments(data, p_nn2, i_p, plot=TRUE); title(paste(\"Filaments nn2 day\",i_p))" |
| 395 | ] |
| 396 | }, |
| 397 | { |
| 398 | "cell_type": "code", |
| 399 | "execution_count": null, |
| 400 | "metadata": {}, |
| 401 | "outputs": [], |
| 402 | "source": [ |
| 403 | "par(mfrow=c(1,2))\n", |
| 404 | "plotFilamentsBox(data, f_np); title(paste(\"FilBox nn day\",i_np))\n", |
| 405 | "plotFilamentsBox(data, f_p); title(paste(\"FilBox nn day\",i_p))\n", |
| 406 | "\n", |
| 407 | "# Generally too few neighbors:\n", |
| 408 | "#plotFilamentsBox(data, f_np2); title(paste(\"FilBox nn2 day\",i_np))\n", |
| 409 | "#plotFilamentsBox(data, f_p2); title(paste(\"FilBox nn2 day\",i_p))" |
| 410 | ] |
| 411 | }, |
| 412 | { |
| 413 | "cell_type": "code", |
| 414 | "execution_count": null, |
| 415 | "metadata": {}, |
| 416 | "outputs": [], |
| 417 | "source": [ |
| 418 | "par(mfrow=c(1,2))\n", |
| 419 | "plotRelVar(data, f_np); title(paste(\"StdDev nn day\",i_np))\n", |
| 420 | "plotRelVar(data, f_p); title(paste(\"StdDev nn day\",i_p))\n", |
| 421 | "\n", |
| 422 | "plotRelVar(data, f_np2); title(paste(\"StdDev nn2 day\",i_np))\n", |
| 423 | "plotRelVar(data, f_p2); title(paste(\"StdDev nn2 day\",i_p))\n", |
| 424 | "\n", |
| 425 | "# Variabilité globale en rouge ; sur les 60 voisins (+ lendemains) en noir" |
| 426 | ] |
| 427 | }, |
| 428 | { |
| 429 | "cell_type": "code", |
| 430 | "execution_count": null, |
| 431 | "metadata": {}, |
| 432 | "outputs": [], |
| 433 | "source": [ |
| 434 | "par(mfrow=c(1,2))\n", |
| 435 | "plotSimils(p_nn, i_np); title(paste(\"Weights nn day\",i_np))\n", |
| 436 | "plotSimils(p_nn, i_p); title(paste(\"Weights nn day\",i_p))\n", |
| 437 | "\n", |
| 438 | "plotSimils(p_nn2, i_np); title(paste(\"Weights nn2 day\",i_np))\n", |
| 439 | "plotSimils(p_nn2, i_p); title(paste(\"Weights nn2 day\",i_p))\n", |
| 440 | "\n", |
| 441 | "# - pollué à gauche, + pollué à droite" |
| 442 | ] |
| 443 | }, |
| 444 | { |
| 445 | "cell_type": "code", |
| 446 | "execution_count": null, |
| 447 | "metadata": {}, |
| 448 | "outputs": [], |
| 449 | "source": [ |
| 450 | "# Fenêtres sélectionnées dans ]0,7] / nn à gauche, nn2 à droite\n", |
| 451 | "p_nn$getParams(i_np)$window\n", |
| 452 | "p_nn$getParams(i_p)$window\n", |
| 453 | "\n", |
| 454 | "p_nn2$getParams(i_np)$window\n", |
| 455 | "p_nn2$getParams(i_p)$window" |
| 456 | ] |
| 457 | } |
| 458 | ], |
| 459 | "metadata": {}, |
| 460 | "nbformat": 4, |
| 461 | "nbformat_minor": 2 |
| 462 | } |