X-Git-Url: https://git.auder.net/?p=talweg.git;a=blobdiff_plain;f=reports%2Freport_2017-03-01.ipynb;h=acbdfd006c295aa21030615201eb9f739bdecc11;hp=bd2e25efbca02c2b7a209ddf7b21c174dd3a9ee9;hb=1b25210ff672f0fc1abf5e91815bb9926e005e27;hpb=858e4073cc890971fbce3e81572cf4ac57a181f9 diff --git a/reports/report_2017-03-01.ipynb b/reports/report_2017-03-01.ipynb index bd2e25e..acbdfd0 100644 --- a/reports/report_2017-03-01.ipynb +++ b/reports/report_2017-03-01.ipynb @@ -53,7 +53,7 @@ "indices = seq(as.Date(\"2015-01-18\"),as.Date(\"2015-01-24\"),\"days\")\n", "p_ch_nn = getForecast(data,indices,\"Neighbors\",\"Neighbors\",simtype=\"mix\",same_season=FALSE,mix_strategy=\"mult\")\n", "p_ch_pz = getForecast(data, indices, \"Persistence\", \"Zero\", same_day=TRUE)\n", - "p_ch_az = getForecast(data, indices, \"Average\", \"Zero\", memory=183)\n", + "p_ch_az = getForecast(data, indices, \"Average\", \"Zero\") #, memory=183)\n", "#p_ch_zz = getForecast(data, indices, \"Zero\", \"Zero\")\n", "#p_ch_l = getForecast(data, indices, \"Level\", same_day=FALSE)" ] @@ -181,7 +181,7 @@ "indices = seq(as.Date(\"2015-03-15\"),as.Date(\"2015-03-21\"),\"days\")\n", "p_ep_nn = getForecast(data,indices,\"Neighbors\",\"Neighbors\",simtype=\"mix\",same_season=FALSE,mix_strategy=\"mult\")\n", "p_ep_pz = getForecast(data, indices, \"Persistence\", \"Zero\", same_day=TRUE)\n", - "p_ep_az = getForecast(data, indices, \"Average\", \"Zero\", memory=183)\n", + "p_ep_az = getForecast(data, indices, \"Average\", \"Zero\") #, memory=183)\n", "#p_ep_zz = getForecast(data, indices, \"Zero\", \"Zero\")\n", "#p_ep_l = getForecast(data, indices, \"Level\", same_day=TRUE)" ] @@ -223,7 +223,9 @@ "par(mfrow=c(1,2))\n", "options(repr.plot.width=9, repr.plot.height=4)\n", "plotPredReal(data, p_ep_nn, 4)\n", - "plotPredReal(data, p_ep_nn, 6)" + "plotPredReal(data, p_ep_nn, 6)\n", + "\n", + "#Bleu: prévue, noir: réalisée" ] }, { @@ -284,7 +286,7 @@ "indices = seq(as.Date(\"2015-04-26\"),as.Date(\"2015-05-02\"),\"days\")\n", "p_np_nn = getForecast(data,indices,\"Neighbors\",\"Neighbors\",simtype=\"mix\",same_season=FALSE,mix_strategy=\"mult\")\n", "p_np_pz = getForecast(data, indices, \"Persistence\", \"Zero\", same_day=FALSE)\n", - "p_np_az = getForecast(data, indices, \"Average\", \"Zero\", memory=183)\n", + "p_np_az = getForecast(data, indices, \"Average\", \"Zero\") #, memory=183)\n", "#p_np_zz = getForecast(data, indices, \"Zero\", \"Zero\")\n", "#p_np_l = getForecast(data, indices, \"Level\", same_day=FALSE)" ] @@ -326,7 +328,9 @@ "par(mfrow=c(1,2))\n", "options(repr.plot.width=9, repr.plot.height=4)\n", "plotPredReal(data, p_np_nn, 3)\n", - "plotPredReal(data, p_np_nn, 6)" + "plotPredReal(data, p_np_nn, 6)\n", + "\n", + "#Bleu: prévue, noir: réalisée" ] }, { @@ -336,6 +340,19 @@ "Les \"bonnes\" prédictions (à gauche) sont tout de même trop lissées." ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "par(mfrow=c(1,2))\n", + "plotPredReal(data, p_np_az, 3)\n", + "plotPredReal(data, p_np_az, 6)" + ] + }, { "cell_type": "code", "execution_count": null,