'update'
[talweg.git] / reports / report.ipynb
index bdf1723..74d6880 100644 (file)
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "library(talweg)\n",
     "\n",
     "ts_data = read.csv(system.file(\"extdata\",\"pm10_mesures_H_loc_report.csv\",package=\"talweg\"))\n",
     "exo_data = read.csv(system.file(\"extdata\",\"meteo_extra_noNAs.csv\",package=\"talweg\"))\n",
-    "data = getData(ts_data, exo_data, input_tz = \"Europe/Paris\", working_tz=\"Europe/Paris\", predict_at=7)\n",
+    "data = getData(ts_data, exo_data, input_tz = \"Europe/Paris\", working_tz=\"Europe/Paris\",\n",
+    "\tpredict_at=7) #predict from P+1 to P+H included\n",
     "\n",
     "indices_ch = seq(as.Date(\"2015-01-18\"),as.Date(\"2015-01-24\"),\"days\")\n",
     "indices_ep = seq(as.Date(\"2015-03-15\"),as.Date(\"2015-03-21\"),\"days\")\n",
-    "indices_np = seq(as.Date(\"2015-04-26\"),as.Date(\"2015-05-02\"),\"days\")\n",
-    "\n",
-    "H = 3 #predict from 2pm to 4pm"
+    "indices_np = seq(as.Date(\"2015-04-26\"),as.Date(\"2015-05-02\"),\"days\")\n"
    ]
   },
   {
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "p_nn_exo = computeForecast(data, indices_ch, \"Neighbors\", \"Neighbors\", simtype=\"exo\", horizon=H)\n",
-    "p_nn_mix = computeForecast(data, indices_ch, \"Neighbors\", \"Neighbors\", simtype=\"mix\", horizon=H)\n",
-    "p_az = computeForecast(data, indices_ch, \"Average\", \"Zero\", horizon=H) #, memory=183)\n",
-    "p_pz = computeForecast(data, indices_ch, \"Persistence\", \"Zero\", horizon=H, same_day=TRUE)"
+    "p_nn_exo = computeForecast(data, indices_ch, \"Neighbors\", \"Neighbors\",\n",
+    "\thorizon=3, simtype=\"exo\")\n",
+    "p_nn_mix = computeForecast(data, indices_ch, \"Neighbors\", \"Neighbors\",\n",
+    "\thorizon=3, simtype=\"mix\")\n",
+    "p_az = computeForecast(data, indices_ch, \"Average\", \"Zero\",\n",
+    "\thorizon=3)\n",
+    "p_pz = computeForecast(data, indices_ch, \"Persistence\", \"Zero\",\n",
+    "\thorizon=3, same_day=TRUE)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "e_nn_exo = computeError(data, p_nn_exo, H)\n",
-    "e_nn_mix = computeError(data, p_nn_mix, H)\n",
-    "e_az = computeError(data, p_az, H)\n",
-    "e_pz = computeError(data, p_pz, H)\n",
-    "\n",
+    "e_nn_exo = computeError(data, p_nn_exo, 3)\n",
+    "e_nn_mix = computeError(data, p_nn_mix, 3)\n",
+    "e_az = computeError(data, p_az, 3)\n",
+    "e_pz = computeError(data, p_pz, 3)\n",
     "options(repr.plot.width=9, repr.plot.height=7)\n",
     "plotError(list(e_nn_mix, e_pz, e_az, e_nn_exo), cols=c(1,2,colors()[258], 4))\n",
     "\n",
@@ -95,9 +91,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "options(repr.plot.width=9, repr.plot.height=4)\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Fenêtres sélectionnées dans ]0,10] / endo à gauche, exo à droite\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "p_nn_exo = computeForecast(data, indices_ep, \"Neighbors\", \"Neighbors\", simtype=\"exo\", horizon=H)\n",
-    "p_nn_mix = computeForecast(data, indices_ep, \"Neighbors\", \"Neighbors\", simtype=\"mix\", horizon=H)\n",
-    "p_az = computeForecast(data, indices_ep, \"Average\", \"Zero\", horizon=H) #, memory=183)\n",
-    "p_pz = computeForecast(data, indices_ep, \"Persistence\", \"Zero\", horizon=H, same_day=TRUE)"
+    "p_nn_exo = computeForecast(data, indices_ep, \"Neighbors\", \"Neighbors\",\n",
+    "\thorizon=3, simtype=\"exo\")\n",
+    "p_nn_mix = computeForecast(data, indices_ep, \"Neighbors\", \"Neighbors\",\n",
+    "\thorizon=3, simtype=\"mix\")\n",
+    "p_az = computeForecast(data, indices_ep, \"Average\", \"Zero\",\n",
+    "\thorizon=3)\n",
+    "p_pz = computeForecast(data, indices_ep, \"Persistence\", \"Zero\",\n",
+    "\thorizon=3, same_day=TRUE)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "e_nn_exo = computeError(data, p_nn_exo, H)\n",
-    "e_nn_mix = computeError(data, p_nn_mix, H)\n",
-    "e_az = computeError(data, p_az, H)\n",
-    "e_pz = computeError(data, p_pz, H)\n",
+    "e_nn_exo = computeError(data, p_nn_exo, 3)\n",
+    "e_nn_mix = computeError(data, p_nn_mix, 3)\n",
+    "e_az = computeError(data, p_az, 3)\n",
+    "e_pz = computeError(data, p_pz, 3)\n",
     "options(repr.plot.width=9, repr.plot.height=7)\n",
     "plotError(list(e_nn_mix, e_pz, e_az, e_nn_exo), cols=c(1,2,colors()[258], 4))\n",
     "\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "options(repr.plot.width=9, repr.plot.height=4)\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Fenêtres sélectionnées dans ]0,10] / endo à gauche, exo à droite\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "p_nn_exo = computeForecast(data, indices_np, \"Neighbors\", \"Neighbors\", simtype=\"exo\", horizon=H)\n",
-    "p_nn_mix = computeForecast(data, indices_np, \"Neighbors\", \"Neighbors\", simtype=\"mix\", horizon=H)\n",
-    "p_az = computeForecast(data, indices_np, \"Average\", \"Zero\", horizon=H) #, memory=183)\n",
-    "p_pz = computeForecast(data, indices_np, \"Persistence\", \"Zero\", horizon=H, same_day=FALSE)"
+    "p_nn_exo = computeForecast(data, indices_np, \"Neighbors\", \"Neighbors\",\n",
+    "\thorizon=3, simtype=\"exo\")\n",
+    "p_nn_mix = computeForecast(data, indices_np, \"Neighbors\", \"Neighbors\",\n",
+    "\thorizon=3, simtype=\"mix\")\n",
+    "p_az = computeForecast(data, indices_np, \"Average\", \"Zero\",\n",
+    "\thorizon=3)\n",
+    "p_pz = computeForecast(data, indices_np, \"Persistence\", \"Zero\",\n",
+    "\thorizon=3, same_day=FALSE)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "e_nn_exo = computeError(data, p_nn_exo, H)\n",
-    "e_nn_mix = computeError(data, p_nn_mix, H)\n",
-    "e_az = computeError(data, p_az, H)\n",
-    "e_pz = computeError(data, p_pz, H)\n",
+    "e_nn_exo = computeError(data, p_nn_exo, 3)\n",
+    "e_nn_mix = computeError(data, p_nn_mix, 3)\n",
+    "e_az = computeError(data, p_az, 3)\n",
+    "e_pz = computeError(data, p_pz, 3)\n",
     "options(repr.plot.width=9, repr.plot.height=7)\n",
     "plotError(list(e_nn_mix, e_pz, e_az, e_nn_exo), cols=c(1,2,colors()[258], 4))\n",
     "\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "options(repr.plot.width=9, repr.plot.height=4)\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "par(mfrow=c(1,2))\n",
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Fenêtres sélectionnées dans ]0,10] / endo à gauche, exo à droite\n",