From: Benjamin Auder Date: Wed, 29 Mar 2017 17:23:17 +0000 (+0200) Subject: 'update' X-Git-Url: https://git.auder.net/variants/Chakart/doc/index.css?a=commitdiff_plain;h=21c70378d89863afeb124d86989f7f956e280808;p=talweg.git 'update' --- diff --git a/reports/Reunion_28juin2016.docx b/reports/OLD/Reunion_28juin2016.docx similarity index 100% rename from reports/Reunion_28juin2016.docx rename to reports/OLD/Reunion_28juin2016.docx diff --git a/reports/report.ipynb b/reports/report.ipynb deleted file mode 100644 index 70d86d2..0000000 --- a/reports/report.ipynb +++ /dev/null @@ -1,462 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "

Introduction

\n", - "\n", - "J'ai fait quelques essais dans différentes configurations pour la méthode \"Neighbors\"\n", - "(la seule dont on a parlé) et sa variante récente appelée pour l'instant \"Neighbors2\",\n", - "avec simtype=\"mix\" : deux types de similarités prises en compte, puis multiplication des poids.\n", - "Pour Neighbors on prédit le saut (par la moyenne pondérée des sauts passés), et pour Neighbors2\n", - "on n'effectue aucun raccordement (prévision directe).\n", - "\n", - "J'ai systématiquement comparé à une approche naïve : la moyenne des lendemains des jours\n", - "\"similaires\" dans tout le passé, ainsi qu'à la persistence -- reproduisant le jour courant ou\n", - "allant chercher le futur similaire une semaine avant.\n", - "\n", - "Ensuite j'affiche les erreurs, quelques courbes prévues/mesurées, quelques filaments puis les\n", - "histogrammes de quelques poids. Concernant les graphes de filaments, la moitié gauche du graphe\n", - "correspond aux jours similaires au jour courant, tandis que la moitié droite affiche les\n", - "lendemains : ce sont donc les voisinages tels qu'utilisés dans l'algorithme.\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "library(talweg)\n", - "\n", - "P = 7 #instant de prévision\n", - "H = 17 #horizon (en heures)\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", - "# NOTE: 'GMT' because DST gaps are filled and multiple values merged in above dataset.\n", - "# Prediction from P+1 to P+H included.\n", - "data = getData(ts_data, exo_data, input_tz = \"GMT\", working_tz=\"GMT\", predict_at=P)\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" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "

Pollution par chauffage

" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "p_nn = computeForecast(data, indices_ch, \"Neighbors\", \"Neighbors\", horizon=H)\n", - "p_nn2 = computeForecast(data, indices_ch, \"Neighbors2\", \"Zero\", horizon=H)\n", - "p_az = computeForecast(data, indices_ch, \"Average\", \"Zero\", horizon=H)\n", - "p_pz = computeForecast(data, indices_ch, \"Persistence\", \"Zero\", horizon=H, same_day=TRUE)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "e_nn = computeError(data, p_nn, H)\n", - "e_nn2 = computeError(data, p_nn2, H)\n", - "e_az = computeError(data, p_az, H)\n", - "e_pz = computeError(data, p_pz, H)\n", - "options(repr.plot.width=9, repr.plot.height=7)\n", - "plotError(list(e_nn, e_pz, e_az, e_nn2), cols=c(1,2,colors()[258], 4))\n", - "\n", - "# Noir: Neighbors, bleu: Neighbors2, vert: moyenne, rouge: persistence\n", - "\n", - "i_np = which.min(e_nn$abs$indices)\n", - "i_p = which.max(e_nn$abs$indices)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "options(repr.plot.width=9, repr.plot.height=4)\n", - "par(mfrow=c(1,2))\n", - "\n", - "plotPredReal(data, p_nn, i_np); title(paste(\"PredReal nn day\",i_np))\n", - "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn day\",i_p))\n", - "\n", - "plotPredReal(data, p_nn2, i_np); title(paste(\"PredReal nn2 day\",i_np))\n", - "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn2 day\",i_p))\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", - "\n", - "# Bleu: prévue, noir: réalisée" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "f_np = computeFilaments(data, p_nn, i_np, plot=TRUE); title(paste(\"Filaments nn day\",i_np))\n", - "f_p = computeFilaments(data, p_nn, i_p, plot=TRUE); title(paste(\"Filaments nn day\",i_p))\n", - "\n", - "f_np2 = computeFilaments(data, p_nn2, i_np, plot=TRUE); title(paste(\"Filaments nn2 day\",i_np))\n", - "f_p2 = computeFilaments(data, p_nn2, i_p, plot=TRUE); title(paste(\"Filaments nn2 day\",i_p))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "plotFilamentsBox(data, f_np); title(paste(\"FilBox nn day\",i_np))\n", - "plotFilamentsBox(data, f_p); title(paste(\"FilBox nn day\",i_p))\n", - "\n", - "# Generally too few neighbors:\n", - "#plotFilamentsBox(data, f_np2); title(paste(\"FilBox nn2 day\",i_np))\n", - "#plotFilamentsBox(data, f_p2); title(paste(\"FilBox nn2 day\",i_p))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "plotRelVar(data, f_np); title(paste(\"StdDev nn day\",i_np))\n", - "plotRelVar(data, f_p); title(paste(\"StdDev nn day\",i_p))\n", - "\n", - "plotRelVar(data, f_np2); title(paste(\"StdDev nn2 day\",i_np))\n", - "plotRelVar(data, f_p2); title(paste(\"StdDev nn2 day\",i_p))\n", - "\n", - "# Variabilité globale en rouge ; sur les 60 voisins (+ lendemains) en noir" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "plotSimils(p_nn, i_np); title(paste(\"Weights nn day\",i_np))\n", - "plotSimils(p_nn, i_p); title(paste(\"Weights nn day\",i_p))\n", - "\n", - "plotSimils(p_nn2, i_np); title(paste(\"Weights nn2 day\",i_np))\n", - "plotSimils(p_nn2, i_p); title(paste(\"Weights nn2 day\",i_p))\n", - "\n", - "# - pollué à gauche, + pollué à droite" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Fenêtres sélectionnées dans ]0,7] / nn à gauche, nn2 à droite\n", - "p_nn$getParams(i_np)$window\n", - "p_nn$getParams(i_p)$window\n", - "\n", - "p_nn2$getParams(i_np)$window\n", - "p_nn2$getParams(i_p)$window" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "

Pollution par épandage

" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "p_nn = computeForecast(data, indices_ep, \"Neighbors\", \"Neighbors\", horizon=H)\n", - "p_nn2 = computeForecast(data, indices_ep, \"Neighbors2\", \"Zero\", horizon=H)\n", - "p_az = computeForecast(data, indices_ep, \"Average\", \"Zero\", horizon=H)\n", - "p_pz = computeForecast(data, indices_ep, \"Persistence\", \"Zero\", horizon=H, same_day=TRUE)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "e_nn = computeError(data, p_nn, H)\n", - "e_nn2 = computeError(data, p_nn2, H)\n", - "e_az = computeError(data, p_az, H)\n", - "e_pz = computeError(data, p_pz, H)\n", - "options(repr.plot.width=9, repr.plot.height=7)\n", - "plotError(list(e_nn, e_pz, e_az, e_nn2), cols=c(1,2,colors()[258], 4))\n", - "\n", - "# Noir: Neighbors, bleu: Neighbors2, vert: moyenne, rouge: persistence\n", - "\n", - "i_np = which.min(e_nn$abs$indices)\n", - "i_p = which.max(e_nn$abs$indices)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "options(repr.plot.width=9, repr.plot.height=4)\n", - "par(mfrow=c(1,2))\n", - "\n", - "plotPredReal(data, p_nn, i_np); title(paste(\"PredReal nn day\",i_np))\n", - "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn day\",i_p))\n", - "\n", - "plotPredReal(data, p_nn2, i_np); title(paste(\"PredReal nn2 day\",i_np))\n", - "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn2 day\",i_p))\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", - "\n", - "# Bleu: prévue, noir: réalisée" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "f_np = computeFilaments(data, p_nn, i_np, plot=TRUE); title(paste(\"Filaments nn day\",i_np))\n", - "f_p = computeFilaments(data, p_nn, i_p, plot=TRUE); title(paste(\"Filaments nn day\",i_p))\n", - "\n", - "f_np2 = computeFilaments(data, p_nn2, i_np, plot=TRUE); title(paste(\"Filaments nn2 day\",i_np))\n", - "f_p2 = computeFilaments(data, p_nn2, i_p, plot=TRUE); title(paste(\"Filaments nn2 day\",i_p))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "plotFilamentsBox(data, f_np); title(paste(\"FilBox nn day\",i_np))\n", - "plotFilamentsBox(data, f_p); title(paste(\"FilBox nn day\",i_p))\n", - "\n", - "# Generally too few neighbors:\n", - "#plotFilamentsBox(data, f_np2); title(paste(\"FilBox nn2 day\",i_np))\n", - "#plotFilamentsBox(data, f_p2); title(paste(\"FilBox nn2 day\",i_p))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "plotRelVar(data, f_np); title(paste(\"StdDev nn day\",i_np))\n", - "plotRelVar(data, f_p); title(paste(\"StdDev nn day\",i_p))\n", - "\n", - "plotRelVar(data, f_np2); title(paste(\"StdDev nn2 day\",i_np))\n", - "plotRelVar(data, f_p2); title(paste(\"StdDev nn2 day\",i_p))\n", - "\n", - "# Variabilité globale en rouge ; sur les 60 voisins (+ lendemains) en noir" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "plotSimils(p_nn, i_np); title(paste(\"Weights nn day\",i_np))\n", - "plotSimils(p_nn, i_p); title(paste(\"Weights nn day\",i_p))\n", - "\n", - "plotSimils(p_nn2, i_np); title(paste(\"Weights nn2 day\",i_np))\n", - "plotSimils(p_nn2, i_p); title(paste(\"Weights nn2 day\",i_p))\n", - "\n", - "# - pollué à gauche, + pollué à droite" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Fenêtres sélectionnées dans ]0,7] / nn à gauche, nn2 à droite\n", - "p_nn$getParams(i_np)$window\n", - "p_nn$getParams(i_p)$window\n", - "\n", - "p_nn2$getParams(i_np)$window\n", - "p_nn2$getParams(i_p)$window" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "

Semaine non polluée

" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "p_nn = computeForecast(data, indices_np, \"Neighbors\", \"Neighbors\", horizon=H)\n", - "p_nn2 = computeForecast(data, indices_np, \"Neighbors2\", \"Zero\", horizon=H)\n", - "p_az = computeForecast(data, indices_np, \"Average\", \"Zero\", horizon=H)\n", - "p_pz = computeForecast(data, indices_np, \"Persistence\", \"Zero\", horizon=H, same_day=FALSE)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "e_nn = computeError(data, p_nn, H)\n", - "e_nn2 = computeError(data, p_nn2, H)\n", - "e_az = computeError(data, p_az, H)\n", - "e_pz = computeError(data, p_pz, H)\n", - "options(repr.plot.width=9, repr.plot.height=7)\n", - "plotError(list(e_nn, e_pz, e_az, e_nn2), cols=c(1,2,colors()[258], 4))\n", - "\n", - "# Noir: Neighbors, bleu: Neighbors2, vert: moyenne, rouge: persistence\n", - "\n", - "i_np = which.min(e_nn$abs$indices)\n", - "i_p = which.max(e_nn$abs$indices)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "options(repr.plot.width=9, repr.plot.height=4)\n", - "par(mfrow=c(1,2))\n", - "\n", - "plotPredReal(data, p_nn, i_np); title(paste(\"PredReal nn day\",i_np))\n", - "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn day\",i_p))\n", - "\n", - "plotPredReal(data, p_nn2, i_np); title(paste(\"PredReal nn2 day\",i_np))\n", - "plotPredReal(data, p_nn2, i_p); title(paste(\"PredReal nn2 day\",i_p))\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", - "\n", - "# Bleu: prévue, noir: réalisée" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "f_np = computeFilaments(data, p_nn, i_np, plot=TRUE); title(paste(\"Filaments nn day\",i_np))\n", - "f_p = computeFilaments(data, p_nn, i_p, plot=TRUE); title(paste(\"Filaments nn day\",i_p))\n", - "\n", - "f_np2 = computeFilaments(data, p_nn2, i_np, plot=TRUE); title(paste(\"Filaments nn2 day\",i_np))\n", - "f_p2 = computeFilaments(data, p_nn2, i_p, plot=TRUE); title(paste(\"Filaments nn2 day\",i_p))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "plotFilamentsBox(data, f_np); title(paste(\"FilBox nn day\",i_np))\n", - "plotFilamentsBox(data, f_p); title(paste(\"FilBox nn day\",i_p))\n", - "\n", - "# Generally too few neighbors:\n", - "#plotFilamentsBox(data, f_np2); title(paste(\"FilBox nn2 day\",i_np))\n", - "#plotFilamentsBox(data, f_p2); title(paste(\"FilBox nn2 day\",i_p))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "plotRelVar(data, f_np); title(paste(\"StdDev nn day\",i_np))\n", - "plotRelVar(data, f_p); title(paste(\"StdDev nn day\",i_p))\n", - "\n", - "plotRelVar(data, f_np2); title(paste(\"StdDev nn2 day\",i_np))\n", - "plotRelVar(data, f_p2); title(paste(\"StdDev nn2 day\",i_p))\n", - "\n", - "# Variabilité globale en rouge ; sur les 60 voisins (+ lendemains) en noir" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "par(mfrow=c(1,2))\n", - "plotSimils(p_nn, i_np); title(paste(\"Weights nn day\",i_np))\n", - "plotSimils(p_nn, i_p); title(paste(\"Weights nn day\",i_p))\n", - "\n", - "plotSimils(p_nn2, i_np); title(paste(\"Weights nn2 day\",i_np))\n", - "plotSimils(p_nn2, i_p); title(paste(\"Weights nn2 day\",i_p))\n", - "\n", - "# - pollué à gauche, + pollué à droite" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Fenêtres sélectionnées dans ]0,7] / nn à gauche, nn2 à droite\n", - "p_nn$getParams(i_np)$window\n", - "p_nn$getParams(i_p)$window\n", - "\n", - "p_nn2$getParams(i_np)$window\n", - "p_nn2$getParams(i_p)$window" - ] - } - ], - "metadata": {}, - "nbformat": 4, - "nbformat_minor": 2 -}