reports/report.ipynb

   1 {
   2  "cells": [
   3   {
   4    "cell_type": "markdown",
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   9    "source": [
  10     "\n",
  11     "\n",
  12     "<h2>Introduction</h2>\n",
  13     "\n",
  14     "J'ai fait quelques essais dans différentes configurations pour la méthode \"Neighbors\"\n",
  15     "(la seule dont on a parlé) et sa variante récente appelée pour l'instant \"Neighbors2\",\n",
  16     "avec simtype=\"mix\" : deux types de similarités prises en compte, puis multiplication des poids.\n",
  17     "Pour Neighbors on prédit le saut (par la moyenne pondérée des sauts passés), et pour Neighbors2\n",
  18     "on n'effectue aucun raccordement (prévision directe).\n",
  19     "\n",
  20     "J'ai systématiquement comparé à une approche naïve : la moyenne des lendemains des jours\n",
  21     "\"similaires\" dans tout le passé, ainsi qu'à la persistence -- reproduisant le jour courant ou\n",
  22     "allant chercher le futur similaire une semaine avant.\n",
  23     "\n",
  24     "Ensuite j'affiche les erreurs, quelques courbes prévues/mesurées, quelques filaments puis les\n",
  25     "histogrammes de quelques poids. Concernant les graphes de filaments, la moitié gauche du graphe\n",
  26     "correspond aux jours similaires au jour courant, tandis que la moitié droite affiche les\n",
  27     "lendemains : ce sont donc les voisinages tels qu'utilisés dans l'algorithme.\n",
  28     "\n"
  29    ]
  30   },
  31   {
  32    "cell_type": "code",
  33    "execution_count": null,
  34    "metadata": {
  35     "collapsed": false,
  36     "deletable": true,
  37     "editable": true
  38    },
  39    "outputs": [],
  40    "source": [
  41     "library(talweg)\n",
  42     "\n",
  43     "P = 7 #instant de prévision\n",
  44     "H = 17 #horizon (en heures)\n",
  45     "\n",
  46     "ts_data = read.csv(system.file(\"extdata\",\"pm10_mesures_H_loc_report.csv\",package=\"talweg\"))\n",
  47     "exo_data = read.csv(system.file(\"extdata\",\"meteo_extra_noNAs.csv\",package=\"talweg\"))\n",
  48     "# NOTE: 'GMT' because DST gaps are filled and multiple values merged in above dataset.\n",
  49     "# Prediction from P+1 to P+H included.\n",
  50     "data = getData(ts_data, exo_data, input_tz = \"GMT\", working_tz=\"GMT\", predict_at=P)\n",
  51     "\n",
  52     "indices_ch = seq(as.Date(\"2015-01-18\"),as.Date(\"2015-01-24\"),\"days\")\n",
  53     "indices_ep = seq(as.Date(\"2015-03-15\"),as.Date(\"2015-03-21\"),\"days\")\n",
  54     "indices_np = seq(as.Date(\"2015-04-26\"),as.Date(\"2015-05-02\"),\"days\")\n"
  55    ]
  56   },
  57   {
  58    "cell_type": "markdown",
  59    "metadata": {
  60     "deletable": true,
  61     "editable": true
  62    },
  63    "source": [
  64     "\n",
  65     "\n",
  66     "<h2 style=\"color:blue;font-size:2em\">Pollution par chauffage</h2>"
  67    ]
  68   },
  69   {
  70    "cell_type": "code",
  71    "execution_count": null,
  72    "metadata": {
  73     "collapsed": false,
  74     "deletable": true,
  75     "editable": true
  76    },
  77    "outputs": [],
  78    "source": [
  79     "reload(\"../pkg\")\n",
  80     "p_nn = computeForecast(data, indices_ch, \"Neighbors\", \"Neighbors\", horizon=H)\n",
  81     "p_nn2 = computeForecast(data, indices_ch, \"Neighbors2\", \"Neighbors\", horizon=H)\n",
  82     "p_az = computeForecast(data, indices_ch, \"Average\", \"Zero\", horizon=H)\n",
  83     "p_pz = computeForecast(data, indices_ch, \"Persistence\", \"Zero\", horizon=H, same_day=TRUE)"
  84    ]
  85   },
  86   {
  87    "cell_type": "code",
  88    "execution_count": null,
  89    "metadata": {
  90     "collapsed": false
  91    },
  92    "outputs": [],
  93    "source": [
  94     "p_nn2$getParams(5)$weights"
  95    ]
  96   },
  97   {
  98    "cell_type": "code",
  99    "execution_count": null,
 100    "metadata": {
 101     "collapsed": false,
 102     "deletable": true,
 103     "editable": true
 104    },
 105    "outputs": [],
 106    "source": [
 107     "e_nn = computeError(data, p_nn, H)\n",
 108     "e_nn2 = computeError(data, p_nn2, H)\n",
 109     "e_az = computeError(data, p_az, H)\n",
 110     "e_pz = computeError(data, p_pz, H)\n",
 111     "options(repr.plot.width=9, repr.plot.height=7)\n",
 112     "plotError(list(e_nn, e_pz, e_az, e_nn2), cols=c(1,2,colors()[258], 4))\n",
 113     "\n",
 114     "# Noir: Neighbors, bleu: Neighbors2, vert: moyenne, rouge: persistence\n",
 115     "\n",
 116     "i_np = which.min(e_nn$abs$indices)\n",
 117     "i_p = which.max(e_nn$abs$indices)"
 118    ]
 119   },
 120   {
 121    "cell_type": "code",
 122    "execution_count": null,
 123    "metadata": {
 124     "collapsed": false,
 125     "deletable": true,
 126     "editable": true
 127    },
 128    "outputs": [],
 129    "source": [
 130     "options(repr.plot.width=9, repr.plot.height=4)\n",
 131     "par(mfrow=c(1,2))\n",
 132     "\n",
 133     "plotPredReal(data, p_nn, i_np); title(paste(\"PredReal nn day\",i_np))\n",
 134     "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn day\",i_p))\n",
 135     "\n",
 136     "plotPredReal(data, p_nn2, i_np); title(paste(\"PredReal nn2 day\",i_np))\n",
 137     "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn2 day\",i_p))\n",
 138     "\n",
 139     "plotPredReal(data, p_az, i_np); title(paste(\"PredReal az day\",i_np))\n",
 140     "plotPredReal(data, p_az, i_p); title(paste(\"PredReal az day\",i_p))\n",
 141     "\n",
 142     "# Bleu: prévue, noir: réalisée"
 143    ]
 144   },
 145   {
 146    "cell_type": "code",
 147    "execution_count": null,
 148    "metadata": {
 149     "collapsed": false,
 150     "deletable": true,
 151     "editable": true
 152    },
 153    "outputs": [],
 154    "source": [
 155     "par(mfrow=c(1,2))\n",
 156     "f_np = computeFilaments(data, p_nn, i_np, plot=TRUE); title(paste(\"Filaments nn day\",i_np))\n",
 157     "f_p = computeFilaments(data, p_nn, i_p, plot=TRUE); title(paste(\"Filaments nn day\",i_p))\n",
 158     "\n",
 159     "f_np2 = computeFilaments(data, p_nn2, i_np, plot=TRUE); title(paste(\"Filaments nn2 day\",i_np))\n",
 160     "f_p2 = computeFilaments(data, p_nn2, i_p, plot=TRUE); title(paste(\"Filaments nn2 day\",i_p))"
 161    ]
 162   },
 163   {
 164    "cell_type": "code",
 165    "execution_count": null,
 166    "metadata": {
 167     "collapsed": false,
 168     "deletable": true,
 169     "editable": true
 170    },
 171    "outputs": [],
 172    "source": [
 173     "par(mfrow=c(1,2))\n",
 174     "plotFilamentsBox(data, f_np); title(paste(\"FilBox nn day\",i_np))\n",
 175     "plotFilamentsBox(data, f_p); title(paste(\"FilBox nn day\",i_p))\n",
 176     "\n",
 177     "plotFilamentsBox(data, f_np2); title(paste(\"FilBox nn2 day\",i_np))\n",
 178     "plotFilamentsBox(data, f_p2); title(paste(\"FilBox nn2 day\",i_p))"
 179    ]
 180   },
 181   {
 182    "cell_type": "code",
 183    "execution_count": null,
 184    "metadata": {
 185     "collapsed": false,
 186     "deletable": true,
 187     "editable": true
 188    },
 189    "outputs": [],
 190    "source": [
 191     "par(mfrow=c(1,2))\n",
 192     "plotRelVar(data, f_np); title(paste(\"StdDev nn day\",i_np))\n",
 193     "plotRelVar(data, f_p); title(paste(\"StdDev nn day\",i_p))\n",
 194     "\n",
 195     "plotRelVar(data, f_np2); title(paste(\"StdDev nn2 day\",i_np))\n",
 196     "plotRelVar(data, f_p2); title(paste(\"StdDev nn2 day\",i_p))\n",
 197     "\n",
 198     "# Variabilité globale en rouge ; sur les 60 voisins (+ lendemains) en noir"
 199    ]
 200   },
 201   {
 202    "cell_type": "code",
 203    "execution_count": null,
 204    "metadata": {
 205     "collapsed": false,
 206     "deletable": true,
 207     "editable": true
 208    },
 209    "outputs": [],
 210    "source": [
 211     "par(mfrow=c(1,2))\n",
 212     "plotSimils(p_nn, i_np); title(paste(\"Weights nn day\",i_np))\n",
 213     "plotSimils(p_nn, i_p); title(paste(\"Weights nn day\",i_p))\n",
 214     "\n",
 215     "plotSimils(p_nn2, i_np); title(paste(\"Weights nn2 day\",i_np))\n",
 216     "plotSimils(p_nn2, i_p); title(paste(\"Weights nn2 day\",i_p))\n",
 217     "\n",
 218     "# - pollué à gauche, + pollué à droite"
 219    ]
 220   },
 221   {
 222    "cell_type": "code",
 223    "execution_count": null,
 224    "metadata": {
 225     "collapsed": false,
 226     "deletable": true,
 227     "editable": true
 228    },
 229    "outputs": [],
 230    "source": [
 231     "# Fenêtres sélectionnées dans ]0,7] / nn à gauche, nn2 à droite\n",
 232     "p_nn$getParams(i_np)$window\n",
 233     "p_nn$getParams(i_p)$window\n",
 234     "\n",
 235     "p_nn2$getParams(i_np)$window\n",
 236     "p_nn2$getParams(i_p)$window"
 237    ]
 238   },
 239   {
 240    "cell_type": "markdown",
 241    "metadata": {
 242     "deletable": true,
 243     "editable": true
 244    },
 245    "source": [
 246     "\n",
 247     "\n",
 248     "<h2 style=\"color:blue;font-size:2em\">Pollution par épandage</h2>"
 249    ]
 250   },
 251   {
 252    "cell_type": "code",
 253    "execution_count": null,
 254    "metadata": {
 255     "collapsed": false,
 256     "deletable": true,
 257     "editable": true
 258    },
 259    "outputs": [],
 260    "source": [
 261     "p_nn = computeForecast(data, indices_ep, \"Neighbors\", \"Neighbors\", horizon=H)\n",
 262     "p_nn2 = computeForecast(data, indices_ep, \"Neighbors2\", \"Zero\", horizon=H)\n",
 263     "p_az = computeForecast(data, indices_ep, \"Average\", \"Zero\", horizon=H)\n",
 264     "p_pz = computeForecast(data, indices_ep, \"Persistence\", \"Zero\", horizon=H, same_day=TRUE)"
 265    ]
 266   },
 267   {
 268    "cell_type": "code",
 269    "execution_count": null,
 270    "metadata": {
 271     "collapsed": false,
 272     "deletable": true,
 273     "editable": true
 274    },
 275    "outputs": [],
 276    "source": [
 277     "e_nn = computeError(data, p_nn, H)\n",
 278     "e_nn2 = computeError(data, p_nn2, H)\n",
 279     "e_az = computeError(data, p_az, H)\n",
 280     "e_pz = computeError(data, p_pz, H)\n",
 281     "options(repr.plot.width=9, repr.plot.height=7)\n",
 282     "plotError(list(e_nn, e_pz, e_az, e_nn2), cols=c(1,2,colors()[258], 4))\n",
 283     "\n",
 284     "# Noir: Neighbors, bleu: Neighbors2, vert: moyenne, rouge: persistence\n",
 285     "\n",
 286     "i_np = which.min(e_nn$abs$indices)\n",
 287     "i_p = which.max(e_nn$abs$indices)"
 288    ]
 289   },
 290   {
 291    "cell_type": "code",
 292    "execution_count": null,
 293    "metadata": {
 294     "collapsed": false,
 295     "deletable": true,
 296     "editable": true
 297    },
 298    "outputs": [],
 299    "source": [
 300     "options(repr.plot.width=9, repr.plot.height=4)\n",
 301     "par(mfrow=c(1,2))\n",
 302     "\n",
 303     "plotPredReal(data, p_nn, i_np); title(paste(\"PredReal nn day\",i_np))\n",
 304     "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn day\",i_p))\n",
 305     "\n",
 306     "plotPredReal(data, p_nn2, i_np); title(paste(\"PredReal nn2 day\",i_np))\n",
 307     "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn2 day\",i_p))\n",
 308     "\n",
 309     "plotPredReal(data, p_az, i_np); title(paste(\"PredReal az day\",i_np))\n",
 310     "plotPredReal(data, p_az, i_p); title(paste(\"PredReal az day\",i_p))\n",
 311     "\n",
 312     "# Bleu: prévue, noir: réalisée"
 313    ]
 314   },
 315   {
 316    "cell_type": "code",
 317    "execution_count": null,
 318    "metadata": {
 319     "collapsed": false,
 320     "deletable": true,
 321     "editable": true
 322    },
 323    "outputs": [],
 324    "source": [
 325     "par(mfrow=c(1,2))\n",
 326     "f_np = computeFilaments(data, p_nn, i_np, plot=TRUE); title(paste(\"Filaments nn day\",i_np))\n",
 327     "f_p = computeFilaments(data, p_nn, i_p, plot=TRUE); title(paste(\"Filaments nn day\",i_p))\n",
 328     "\n",
 329     "f_np2 = computeFilaments(data, p_nn2, i_np, plot=TRUE); title(paste(\"Filaments nn2 day\",i_np))\n",
 330     "f_p2 = computeFilaments(data, p_nn2, i_p, plot=TRUE); title(paste(\"Filaments nn2 day\",i_p))"
 331    ]
 332   },
 333   {
 334    "cell_type": "code",
 335    "execution_count": null,
 336    "metadata": {
 337     "collapsed": false,
 338     "deletable": true,
 339     "editable": true
 340    },
 341    "outputs": [],
 342    "source": [
 343     "par(mfrow=c(1,2))\n",
 344     "plotFilamentsBox(data, f_np); title(paste(\"FilBox nn day\",i_np))\n",
 345     "plotFilamentsBox(data, f_p); title(paste(\"FilBox nn day\",i_p))\n",
 346     "\n",
 347     "plotFilamentsBox(data, f_np2); title(paste(\"FilBox nn2 day\",i_np))\n",
 348     "plotFilamentsBox(data, f_p2); title(paste(\"FilBox nn2 day\",i_p))"
 349    ]
 350   },
 351   {
 352    "cell_type": "code",
 353    "execution_count": null,
 354    "metadata": {
 355     "collapsed": false,
 356     "deletable": true,
 357     "editable": true
 358    },
 359    "outputs": [],
 360    "source": [
 361     "par(mfrow=c(1,2))\n",
 362     "plotRelVar(data, f_np); title(paste(\"StdDev nn day\",i_np))\n",
 363     "plotRelVar(data, f_p); title(paste(\"StdDev nn day\",i_p))\n",
 364     "\n",
 365     "plotRelVar(data, f_np2); title(paste(\"StdDev nn2 day\",i_np))\n",
 366     "plotRelVar(data, f_p2); title(paste(\"StdDev nn2 day\",i_p))\n",
 367     "\n",
 368     "# Variabilité globale en rouge ; sur les 60 voisins (+ lendemains) en noir"
 369    ]
 370   },
 371   {
 372    "cell_type": "code",
 373    "execution_count": null,
 374    "metadata": {
 375     "collapsed": false,
 376     "deletable": true,
 377     "editable": true
 378    },
 379    "outputs": [],
 380    "source": [
 381     "par(mfrow=c(1,2))\n",
 382     "plotSimils(p_nn, i_np); title(paste(\"Weights nn day\",i_np))\n",
 383     "plotSimils(p_nn, i_p); title(paste(\"Weights nn day\",i_p))\n",
 384     "\n",
 385     "plotSimils(p_nn2, i_np); title(paste(\"Weights nn2 day\",i_np))\n",
 386     "plotSimils(p_nn2, i_p); title(paste(\"Weights nn2 day\",i_p))\n",
 387     "\n",
 388     "# - pollué à gauche, + pollué à droite"
 389    ]
 390   },
 391   {
 392    "cell_type": "code",
 393    "execution_count": null,
 394    "metadata": {
 395     "collapsed": false,
 396     "deletable": true,
 397     "editable": true
 398    },
 399    "outputs": [],
 400    "source": [
 401     "# Fenêtres sélectionnées dans ]0,7] / nn à gauche, nn2 à droite\n",
 402     "p_nn$getParams(i_np)$window\n",
 403     "p_nn$getParams(i_p)$window\n",
 404     "\n",
 405     "p_nn2$getParams(i_np)$window\n",
 406     "p_nn2$getParams(i_p)$window"
 407    ]
 408   },
 409   {
 410    "cell_type": "markdown",
 411    "metadata": {
 412     "deletable": true,
 413     "editable": true
 414    },
 415    "source": [
 416     "\n",
 417     "\n",
 418     "<h2 style=\"color:blue;font-size:2em\">Semaine non polluée</h2>"
 419    ]
 420   },
 421   {
 422    "cell_type": "code",
 423    "execution_count": null,
 424    "metadata": {
 425     "collapsed": false,
 426     "deletable": true,
 427     "editable": true
 428    },
 429    "outputs": [],
 430    "source": [
 431     "p_nn = computeForecast(data, indices_np, \"Neighbors\", \"Neighbors\", horizon=H)\n",
 432     "p_nn2 = computeForecast(data, indices_np, \"Neighbors2\", \"Zero\", horizon=H)\n",
 433     "p_az = computeForecast(data, indices_np, \"Average\", \"Zero\", horizon=H)\n",
 434     "p_pz = computeForecast(data, indices_np, \"Persistence\", \"Zero\", horizon=H, same_day=FALSE)"
 435    ]
 436   },
 437   {
 438    "cell_type": "code",
 439    "execution_count": null,
 440    "metadata": {
 441     "collapsed": false,
 442     "deletable": true,
 443     "editable": true
 444    },
 445    "outputs": [],
 446    "source": [
 447     "e_nn = computeError(data, p_nn, H)\n",
 448     "e_nn2 = computeError(data, p_nn2, H)\n",
 449     "e_az = computeError(data, p_az, H)\n",
 450     "e_pz = computeError(data, p_pz, H)\n",
 451     "options(repr.plot.width=9, repr.plot.height=7)\n",
 452     "plotError(list(e_nn, e_pz, e_az, e_nn2), cols=c(1,2,colors()[258], 4))\n",
 453     "\n",
 454     "# Noir: Neighbors, bleu: Neighbors2, vert: moyenne, rouge: persistence\n",
 455     "\n",
 456     "i_np = which.min(e_nn$abs$indices)\n",
 457     "i_p = which.max(e_nn$abs$indices)"
 458    ]
 459   },
 460   {
 461    "cell_type": "code",
 462    "execution_count": null,
 463    "metadata": {
 464     "collapsed": false,
 465     "deletable": true,
 466     "editable": true
 467    },
 468    "outputs": [],
 469    "source": [
 470     "options(repr.plot.width=9, repr.plot.height=4)\n",
 471     "par(mfrow=c(1,2))\n",
 472     "\n",
 473     "plotPredReal(data, p_nn, i_np); title(paste(\"PredReal nn day\",i_np))\n",
 474     "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn day\",i_p))\n",
 475     "\n",
 476     "plotPredReal(data, p_nn2, i_np); title(paste(\"PredReal nn2 day\",i_np))\n",
 477     "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn2 day\",i_p))\n",
 478     "\n",
 479     "plotPredReal(data, p_az, i_np); title(paste(\"PredReal az day\",i_np))\n",
 480     "plotPredReal(data, p_az, i_p); title(paste(\"PredReal az day\",i_p))\n",
 481     "\n",
 482     "# Bleu: prévue, noir: réalisée"
 483    ]
 484   },
 485   {
 486    "cell_type": "code",
 487    "execution_count": null,
 488    "metadata": {
 489     "collapsed": false,
 490     "deletable": true,
 491     "editable": true
 492    },
 493    "outputs": [],
 494    "source": [
 495     "par(mfrow=c(1,2))\n",
 496     "f_np = computeFilaments(data, p_nn, i_np, plot=TRUE); title(paste(\"Filaments nn day\",i_np))\n",
 497     "f_p = computeFilaments(data, p_nn, i_p, plot=TRUE); title(paste(\"Filaments nn day\",i_p))\n",
 498     "\n",
 499     "f_np2 = computeFilaments(data, p_nn2, i_np, plot=TRUE); title(paste(\"Filaments nn2 day\",i_np))\n",
 500     "f_p2 = computeFilaments(data, p_nn2, i_p, plot=TRUE); title(paste(\"Filaments nn2 day\",i_p))"
 501    ]
 502   },
 503   {
 504    "cell_type": "code",
 505    "execution_count": null,
 506    "metadata": {
 507     "collapsed": false,
 508     "deletable": true,
 509     "editable": true
 510    },
 511    "outputs": [],
 512    "source": [
 513     "par(mfrow=c(1,2))\n",
 514     "plotFilamentsBox(data, f_np); title(paste(\"FilBox nn day\",i_np))\n",
 515     "plotFilamentsBox(data, f_p); title(paste(\"FilBox nn day\",i_p))\n",
 516     "\n",
 517     "plotFilamentsBox(data, f_np2); title(paste(\"FilBox nn2 day\",i_np))\n",
 518     "plotFilamentsBox(data, f_p2); title(paste(\"FilBox nn2 day\",i_p))"
 519    ]
 520   },
 521   {
 522    "cell_type": "code",
 523    "execution_count": null,
 524    "metadata": {
 525     "collapsed": false,
 526     "deletable": true,
 527     "editable": true
 528    },
 529    "outputs": [],
 530    "source": [
 531     "par(mfrow=c(1,2))\n",
 532     "plotRelVar(data, f_np); title(paste(\"StdDev nn day\",i_np))\n",
 533     "plotRelVar(data, f_p); title(paste(\"StdDev nn day\",i_p))\n",
 534     "\n",
 535     "plotRelVar(data, f_np2); title(paste(\"StdDev nn2 day\",i_np))\n",
 536     "plotRelVar(data, f_p2); title(paste(\"StdDev nn2 day\",i_p))\n",
 537     "\n",
 538     "# Variabilité globale en rouge ; sur les 60 voisins (+ lendemains) en noir"
 539    ]
 540   },
 541   {
 542    "cell_type": "code",
 543    "execution_count": null,
 544    "metadata": {
 545     "collapsed": false,
 546     "deletable": true,
 547     "editable": true
 548    },
 549    "outputs": [],
 550    "source": [
 551     "par(mfrow=c(1,2))\n",
 552     "plotSimils(p_nn, i_np); title(paste(\"Weights nn day\",i_np))\n",
 553     "plotSimils(p_nn, i_p); title(paste(\"Weights nn day\",i_p))\n",
 554     "\n",
 555     "plotSimils(p_nn2, i_np); title(paste(\"Weights nn2 day\",i_np))\n",
 556     "plotSimils(p_nn2, i_p); title(paste(\"Weights nn2 day\",i_p))\n",
 557     "\n",
 558     "# - pollué à gauche, + pollué à droite"
 559    ]
 560   },
 561   {
 562    "cell_type": "code",
 563    "execution_count": null,
 564    "metadata": {
 565     "collapsed": false,
 566     "deletable": true,
 567     "editable": true
 568    },
 569    "outputs": [],
 570    "source": [
 571     "# Fenêtres sélectionnées dans ]0,7] / nn à gauche, nn2 à droite\n",
 572     "p_nn$getParams(i_np)$window\n",
 573     "p_nn$getParams(i_p)$window\n",
 574     "\n",
 575     "p_nn2$getParams(i_np)$window\n",
 576     "p_nn2$getParams(i_p)$window"
 577    ]
 578   }
 579  ],
 580  "metadata": {
 581   "kernelspec": {
 582    "display_name": "R",
 583    "language": "R",
 584    "name": "ir"
 585   },
 586   "language_info": {
 587    "codemirror_mode": "r",
 588    "file_extension": ".r",
 589    "mimetype": "text/x-r-source",
 590    "name": "R",
 591    "pygments_lexer": "r",
 592    "version": "3.3.3"
 593   }
 594  },
 595  "nbformat": 4,
 596  "nbformat_minor": 2
 597 }