X-Git-Url: https://git.auder.net/js/rpsls.js?a=blobdiff_plain;f=reports%2Freport.ipynb;h=f0a06d007b84dd633d9399e2c5fcb11ac654e663;hb=ee8b1b4e3c13f8dcf13a2c8da6a3bef1520c8252;hp=74d6880f31f696aabe484b08c93a80d49d30d76f;hpb=55639673dd1510a02671c4646813ae346cdca4d6;p=talweg.git diff --git a/reports/report.ipynb b/reports/report.ipynb index 74d6880..f0a06d0 100644 --- a/reports/report.ipynb +++ b/reports/report.ipynb @@ -2,7 +2,10 @@ "cells": [ { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "\n", "\n", @@ -29,82 +32,155 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "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\",\n", - "\tpredict_at=7) #predict from P+1 to P+H included\n", + "# Predict from P+1 to P+H included\n", + "H = 17\n", + "data = getData(ts_data, exo_data, input_tz = \"GMT\", working_tz=\"GMT\", predict_at=7)\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" + "indices_np = seq(as.Date(\"2015-04-26\"),as.Date(\"2015-05-02\"),\"days\")" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ - "\n", - "\n", "

Pollution par chauffage

" ] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ - "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)" + "reload(\"../pkg\")\n", + "#p1 = computeForecast(data, indices_ch, \"Neighbors\", \"Zero\", horizon=H, simtype=\"exo\")\n", + "#p2 = computeForecast(data, indices_ch, \"Neighbors\", \"Zero\", horizon=H, simtype=\"endo\")\n", + "p3 = computeForecast(data, indices_ch, \"Neighbors\", \"Zero\", horizon=H, simtype=\"mix\")\n", + "p4 = computeForecast(data, indices_ch, \"Neighbors\", \"Neighbors\", horizon=H, simtype=\"mix\")\n", + "#p4 = computeForecast(data, indices_ch, \"Neighbors2\", \"Zero\", horizon=H, simtype=\"exo\")\n", + "#p5 = computeForecast(data, indices_ch, \"Neighbors2\", \"Zero\", horizon=H, simtype=\"endo\")\n", + "#p6 = computeForecast(data, indices_ch, \"Neighbors2\", \"Zero\", horizon=H, simtype=\"mix\")" ] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ - "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", - "# Noir: neighbors_mix, bleu: neighbors_exo, vert: moyenne, rouge: persistence\n", - "\n", - "i_np = which.min(e_nn_exo$abs$indices)\n", - "i_p = which.max(e_nn_exo$abs$indices)" + "getSimilarDaysIndices(1000,10,TRUE,data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, + "outputs": [], + "source": [ + "as.POSIXlt(data$getTime(1000)[1])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, + "outputs": [], + "source": [ + "#e1 = computeError(data, p1, H)\n", + "#e2 = computeError(data, p2, H)\n", + "e3 = computeError(data, p3, H)\n", + "e4 = computeError(data, p4, H)\n", + "#e5 = computeError(data, p5, H)\n", + "#e6 = computeError(data, p6, H)\n", + "plotError(list(e3,e4), cols=c(1,2))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, + "outputs": [], + "source": [ + "\tfirst_day = 1\n", + "params=p3$getParams(3)\n", + "\tfilter = (params$indices >= first_day)\n", + "\tindices = params$indices[filter]\n", + "\tweights = params$weights[filter]\n", + "\n", + "\n", + "\tgaps = sapply(indices, function(i) {\n", + "\t\tdata$getSerie(i+1)[1] - tail(data$getSerie(i), 1)\n", + "\t})\n", + "\tscal_product = weights * gaps\n", + "\tnorm_fact = sum( weights[!is.na(scal_product)] )\n", + "\tsum(scal_product, na.rm=TRUE) / norm_fact\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "hist(weights)" ] }, { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "options(repr.plot.width=9, repr.plot.height=4)\n", "par(mfrow=c(1,2))\n", "\n", - "plotPredReal(data, p_nn_exo, i_np); title(paste(\"PredReal nn exo day\",i_np))\n", - "plotPredReal(data, p_nn_exo, i_p); title(paste(\"PredReal nn exo day\",i_p))\n", - "\n", - "plotPredReal(data, p_nn_mix, i_np); title(paste(\"PredReal nn mix day\",i_np))\n", - "plotPredReal(data, p_nn_mix, i_p); title(paste(\"PredReal nn mix day\",i_p))\n", + "plotPredReal(data, p3, 3); title(paste(\"PredReal nn exo day\",3))\n", + "plotPredReal(data, p3, 5); title(paste(\"PredReal nn exo day\",5))\n", "\n", - "plotPredReal(data, p_az, i_np); title(paste(\"PredReal az day\",i_np))\n", - "plotPredReal(data, p_az, i_p); title(paste(\"PredReal az day\",i_p))\n", + "plotPredReal(data, p4, 3); title(paste(\"PredReal nn mix day\",3))\n", + "plotPredReal(data, p4, 5); title(paste(\"PredReal nn mix day\",5))\n", "\n", "# Bleu: prévue, noir: réalisée" ] @@ -112,7 +188,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -126,7 +206,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -140,7 +224,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -156,7 +244,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -172,7 +264,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "# Fenêtres sélectionnées dans ]0,10] / endo à gauche, exo à droite\n", @@ -185,7 +281,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "\n", "\n", @@ -195,7 +294,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "p_nn_exo = computeForecast(data, indices_ep, \"Neighbors\", \"Neighbors\",\n", @@ -211,7 +314,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "e_nn_exo = computeError(data, p_nn_exo, 3)\n", @@ -230,7 +337,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "options(repr.plot.width=9, repr.plot.height=4)\n", @@ -251,7 +362,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -265,7 +380,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -279,7 +398,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -295,7 +418,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -311,7 +438,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "# Fenêtres sélectionnées dans ]0,10] / endo à gauche, exo à droite\n", @@ -324,7 +455,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "\n", "\n", @@ -334,7 +468,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "p_nn_exo = computeForecast(data, indices_np, \"Neighbors\", \"Neighbors\",\n", @@ -350,7 +488,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "e_nn_exo = computeError(data, p_nn_exo, 3)\n", @@ -369,7 +511,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "options(repr.plot.width=9, repr.plot.height=4)\n", @@ -390,7 +536,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -404,7 +554,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -418,7 +572,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -434,7 +592,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "par(mfrow=c(1,2))\n", @@ -450,7 +612,11 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "collapsed": false, + "deletable": true, + "editable": true + }, "outputs": [], "source": [ "# Fenêtres sélectionnées dans ]0,10] / endo à gauche, exo à droite\n", @@ -463,7 +629,10 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "deletable": true, + "editable": true + }, "source": [ "\n", "\n",