{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "1d0d0503", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Loading required package: daltoolbox\n", "\n", "Registered S3 method overwritten by 'quantmod':\n", " method from\n", " as.zoo.data.frame zoo \n", "\n", "\n", "Attaching package: ‘daltoolbox’\n", "\n", "\n", "The following object is masked from ‘package:base’:\n", "\n", " transform\n", "\n", "\n", "Loading required package: harbinger\n", "\n" ] } ], "source": [ "# Harbinger Package\n", "# version 1.0.777\n", "\n", "source(\"https://raw.githubusercontent.com/cefet-rj-dal/harbinger/master/jupyter.R\")\n", "\n", "#loading Harbinger\n", "load_library(\"daltoolbox\") \n", "load_library(\"harbinger\") " ] }, { "cell_type": "code", "execution_count": 2, "id": "c0d41422", "metadata": {}, "outputs": [], "source": [ "#loading the example database\n", "data(examples_anomalies)" ] }, { "cell_type": "code", "execution_count": 3, "id": "9a12bab2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\t\n", "\t\n", "\n", "\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\t\n", "\n", "
A data.frame: 6 × 2
serieevent
<dbl><lgl>
11.0000000FALSE
20.9689124FALSE
30.8775826FALSE
40.7316889FALSE
50.5403023FALSE
60.3153224FALSE
\n" ], "text/latex": [ "A data.frame: 6 × 2\n", "\\begin{tabular}{r|ll}\n", " & serie & event\\\\\n", " & & \\\\\n", "\\hline\n", "\t1 & 1.0000000 & FALSE\\\\\n", "\t2 & 0.9689124 & FALSE\\\\\n", "\t3 & 0.8775826 & FALSE\\\\\n", "\t4 & 0.7316889 & FALSE\\\\\n", "\t5 & 0.5403023 & FALSE\\\\\n", "\t6 & 0.3153224 & FALSE\\\\\n", "\\end{tabular}\n" ], "text/markdown": [ "\n", "A data.frame: 6 × 2\n", "\n", "| | serie <dbl> | event <lgl> |\n", "|---|---|---|\n", "| 1 | 1.0000000 | FALSE |\n", "| 2 | 0.9689124 | FALSE |\n", "| 3 | 0.8775826 | FALSE |\n", "| 4 | 0.7316889 | FALSE |\n", "| 5 | 0.5403023 | FALSE |\n", "| 6 | 0.3153224 | FALSE |\n", "\n" ], "text/plain": [ " serie event\n", "1 1.0000000 FALSE\n", "2 0.9689124 FALSE\n", "3 0.8775826 FALSE\n", "4 0.7316889 FALSE\n", "5 0.5403023 FALSE\n", "6 0.3153224 FALSE" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Using the simple time series \n", "dataset <- examples_anomalies$simple\n", "head(dataset)" ] }, { "cell_type": "code", "execution_count": 4, "id": "b744a3ad", "metadata": {}, "outputs": [ { "data": { "image/png": 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ni+3EwoOT8v5RZN7VQjNnL/5Fh4aBPSvkKukAoGldfLZzTtvNWM1DpyM6GEepTH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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 420, "width": 420 } }, "output_type": "display_data" } ], "source": [ "#ploting the time series\n", "plot_ts(x = 1:length(dataset$serie), y = dataset$serie)" ] }, { "cell_type": "code", "execution_count": 5, "id": "e0c8a397", "metadata": {}, "outputs": [], "source": [ "# establishing mlp method \n", " model <- hanr_ml(ts_mlp(ts_norm_gminmax(), input_size=3, size=3, decay=0))" ] }, { "cell_type": "code", "execution_count": 6, "id": "9d0079cf", "metadata": {}, "outputs": [], "source": [ "# fitting the model\n", " model <- fit(model, dataset$serie)" ] }, { "cell_type": "code", "execution_count": 7, "id": "863506fd", "metadata": {}, "outputs": [], "source": [ "# making detections\n", " detection <- detect(model, dataset$serie)" ] }, { "cell_type": "code", "execution_count": 8, "id": "1241ed10", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " idx event type\n", "1 24 TRUE anomaly\n", "2 28 TRUE anomaly\n", "3 50 TRUE anomaly\n", "4 52 TRUE anomaly\n", "5 75 TRUE anomaly\n", "6 78 TRUE anomaly\n", "7 100 TRUE anomaly\n" ] } ], "source": [ "# filtering detected events\n", " print(detection |> dplyr::filter(event==TRUE))" ] }, { "cell_type": "code", "execution_count": 9, "id": "10456892", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " event \n", "detection TRUE FALSE\n", "TRUE 1 6 \n", "FALSE 0 94 \n" ] } ], "source": [ "# evaluating the detections\n", " evaluation <- evaluate(model, detection$event, dataset$event)\n", " print(evaluation$confMatrix)" ] }, { "cell_type": "code", "execution_count": 10, "id": "075f7d2f", "metadata": {}, "outputs": [ { "data": { "image/png": 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7MLLrjAYDBgmZ1GybPA7uyzKTGRiFgb03+yb9psonUnh+H09fXJG+yIaO7cuZIk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\ndPrQ5ef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379ekJIZ2fnfffdJ30B3d3d\n+fn5d955p/QfrRoIdtxhOBWLLbFyw3D/BEbs5Ka6utrr9Xq9Xuk/+tChQ+Xl5bgyWA7i8Xjy\ndSKRkPjTA4FAY2PjlClTJP5clUGw405VVZVOp2PSl9PTiRHs5IPhkvlDhw6VlJTk5+dL/9Ew\nIFbL7Dwej8vlwgI7mZg5c+att95KCNFoNGvWrJH40w8ePJhIJOg1JDBqCHbcMRqNrE48OXLk\nCP106T8aBsRqxC4QCNjtdgzXyQqrvZAHDx4kWGAnJ88///zFF18siiKd3pHS/v37CSEYsRsj\nBDse1dbWdnR0SDznIorisWPHampqcG6ZfFRVVWm1WumD3ZEjR0RRRLCTFVZnFNOdExixk5XT\nTz+dELJv3z6JP5fuj8aI3Rgh2PGIbl+QeJmd0+ns7u7GPKysmEym8vJy6YMdFtjJUFdXFyHk\n//7v/+gQmmQwYidDNFrR8TMp0WCHEbsxQrDjEZO9kHSBHbbEyk1NTY3b7aadumQQ7OQmGo3e\nfffdhJATJ04sX75cyo/GiJ0MsQp2+/fvt1gsVqtV4s9VGQQ7HjEZscNZJ/JEl9FIPAGHbTRy\n4/P5Ojs76WuJ908cOnTIYrGUlZVJ+aEwtEmTJun1eomnYoPBILbEpgSCHY+YnHiCvlye6Moq\niWdjDx06ZDAY6EeDHBQVFV166aX09bXXXivZ54bD4YaGBszDyk1GRkZNTc3+/fulvJYGW2JT\nBcGOR9XV1TqdDiN2QFhsjBVFsb6+vrq62mAwSPahcEqvv/76N77xDULIsmXLJPvQw4cPx+Nx\nzMPKUF1dnd/vb2pqkuwTsSU2VRDseGQymWw2m/QjdllZWVg8ITfSBzuHw9Hd3Y0FdnKj1WqX\nLFlCCNm7d69kH4rLxGRr6tSpRNqNsdg5kSoIdpyqra11u90+n0+aj0skEidOnJgwYYJGo5Hm\nE2GY6OHy//jHP7Zs2SLNJ2LnhGzRazqlDHZ0SyxG7GRI+v0TOOskVRDsOCXx/onGxsZwOIwF\ndjJ02223EUI6OjouvfTSSCQiwSci2MnW1KlTtVrtnj17JPtEbImVLemD3f79+3NzczGrM3YI\ndpySeP8EXWAn/TnmcErJLZBer9fj8UjwiXQbDYKdDGVlZVVXV+/du1eyJfOHDh0ymUz00guQ\nldNOO81oNEo2FRsMBhsaGurq6jCrM3YIdpyS+Cg7bImVreuvv56+mD9/vjRHTtBBGgQ7eZo+\nfXpXV1djY6MEn5VIJI4cOTJhwgTcRiNDBoPhtNNOO3jwYDwel+DjDh06hC2xqYJgxymJp2Lp\niB2CnQw9/vjj9GTaa665RppPPHz4cH5+fnFxsTQfByMybdo0Qog0s7ENDQ2hUAjzsLJVV1cX\nCoWkOdcQW2JTCMGOUzU1NVqtVuIRO5x1Ik9XXHEFkWrJfE9PT1NTE4brZIsGO2kaA3ZOyBwd\nP5NmNhZbYlMIwY5T+/bt02q1H3/88T333CPBxx05ciQ/P7+oqEiCz4KRmj59uk6n2717twSf\nVV9fH4/HEexkS8qNsbglVuboiSfS7J/AltgUQrDj1AMPPBCLxURRfOyxx7744ou0flYkEmlq\nasI8rGxlZmZOmDBh7969Eiymwc4JmaupqcnKypJmKhaH2MmclEfZHThwIDc3t7y8XILPUj0E\nO05Fo9EBX6fD8ePHY7EY5mHlbMaMGYFAgC6FTCucdSJzWq22rq6uvr4+HA6n+7MOHTqk1WrR\nGGSrurrabDZLMGJHV/JNmTIFW2JTAsGOU6tXr87OziaEzJs3b/bs2Wn9LGyJlb8ZM2YQQiSY\njcWWWPmbPn16LBajU2NpdejQocrKyszMzHR/EIyOTqebNGnS4cOH0/3l/9ChQ/F4HPOwqYJg\nx6nzzjvvo48+IoRMmjQp3V+ScEus/NFgl+5JeULI4cOHtVotPW0H5EmajbFut7ujowM7J2Su\nrq4uEomke5sdtsSmFoIdv6ZPn242mz///PO0fkp3d/frr79OCLHZbGn9IBiLmTNnEkJ27dqV\n7g+qr6+vqqrKyMhI9wfBqEmzMRY7JxRBmo2xtDEg2KUKgh2/9Hr9tGnTDhw4EAwG0/cpS5cu\n/fjjjwkhDzzwQPo+BcaopKREEIR0Bzu32+3xeDAPK3Onn346SX+ww2ViiiDNxlj6/piKTRUE\nO67Nnj07Ho+nb86lp6dn06ZN9PWWLVukuYoURmfGjBlut9vpdKbvI+jOCay2lLmCgoLy8vJ0\nT8ViS6wiSLMx9sCBAzk5OZjVSRUEO67NmjWLEJK+2ViTyZT8EjZ79myj0ZimD4Kxk2D/BA12\n6Mvlb9q0aS6Xy+12p+8jcDqxIowbNy4nJyetI3bhcPj48ePYEptCCHZco/th07rMbtWqVYSQ\nc845580330zfp8DY0Qk4CYIdpmLljx5TnNZBu4MHDxYWFuLQcpnTaDSTJ08+evRoT09Pmj4C\nW2JTDsGOa1OnTs3IyEhrsKPbqe6//35pLpiHUUv3xlhRFLdv304Q7JQg3RtjA4FAc3MzFssr\nwtSpU2OxGP1Wlg64TCzlEOy4ZjAYpk6deuDAgVAolKaP2L59u0ajmTt3bpreH1JlwoQJ2dnZ\naRqxSyQSl156KV1wSXdJg5yl+2KxQ4cOiaKISXlFSPfGWAS7lEOw493s2bNjsViavponEonP\nP/+8qqoKEy7yp9Vqp02bVl9f7/f7U/7m9fX1b731Fn391FNPpfz9IbUmTZpkMBjSGuwIVlsq\nRLr3TyDYpRyCHe/oMrudO3em480PHjzY1dU1b968dLw5pNzMmTMTiUQ6uvOCggK9Xk9fY1Je\n/oxG46RJk/bt2xeLxdLx/tg5oSB0xC59N5Hs378/Ozu7srIyTe/PIQQ73qV1/8S2bdsIIZiH\nVYr07Z8oLi5etmwZIWTKlCnPP/98yt8fUm7atGk9PT1punIAh9gpSHl5eUFBQZpG7Hp6erAl\nNuUQ7Hg3depUk8mUpmD32WefEULOOOOMdLw5pFxaTzyhl8q/9tpr6M4VIX37JyKRyM6dOzMy\nMjBIoxSTJ08+ceJEIBBI+TsfOnQoFothHja1EOx4ZzQap06dun//ftrvptb27dsNBgO9rgrk\nb9q0aXq9Pk3B7tNPPy0sLMTpxEqRpv0TgUBgzpw5J06ciEQiGzZsSO2bQ5pMnTo1kUjQcdbU\nwgK7dECwAzJ79uxoNJryJ3g4HN67d+/UqVPNZnNq3xnSxGw2n3baaXv37o3H46l956amppaW\nlnnz5mHCRSnSNGL3wQcf0EdNIpF49tlnU/vmkCbp2xiLYJcOCHaQrvsndu3aFY1GMQ+rLDNm\nzAiFQik/s2rr1q2EkPnz56f2bSF9Kioq8vPzU/59r/fWGUEQUvvmkCbp2xhLgx1OJ04tBDtI\n1/4JunMCwU5Z0rR/AsFOiaZPn97Q0NDV1ZXC95w7dy7dTXXhhRc+/PDDKXxnSJ/0bYylW2LH\njRuX8nfmGYIdkOnTpxuNxpQHO+ycUCK6IDLl909s3bpVr9fPmTMntW8LaTVt2jRRFFM+aNfR\n0ZGdnb1hw4bS0tLUvjOkSUlJSXFxccpH7D788MP6+nqr1YoVGqmFYAfEaDTW1dXt378/tbcB\nbt++PTs7G1sglSUdG2NDodCePXtmzJiRnZ2dwreFdKPL7FIb7Ox2+/HjxxcsWJA81xAUoa6u\nrrm52efzpeoNt23bdsEFFyQSiSNHjvzzn/9M1dsCQbADavbs2ZFIJIVPcI/Hc+zYsdmzZ+t0\nulS9J0iguLi4vLw8tcFu+/bt0WgU51QrTjo2xtJr5c4555wUvidIYOrUqaIopnAs/6OPPkq+\n3rhxY6reFgiCHVApX2a3fft2URTRlyvRjBkz3G633W5P1Rt+/PHHBAvsFGjatGlarTa1G2Np\nsDv33HNT+J6QbvF4nP4WX3LJJfTF2PV+ICxYsCAl7wkUgh0QkoaLxegCO6ypUiK6fyKFX80/\n/fRTQshZZ52VqjcEaWRlZVVVVe3du1cUxVS956ZNmzIyMnAbjbJ8/PHHu3btIoT4/f41a9ak\n5D0XLFhQUlJiMpleffXVq6++OiXvCRSCHRBCyLRp0wwGQ2pH7Ah2TihTapfZiaL4ySefWK3W\n8ePHp+QNQUrTp0/3+XxNTU0pebe2traDBw+eeeaZJpMpJW8I0sjIyEi+TtW5pEePHnW73YsX\nL6aXDUIKIdgBIYRkZGTU1dXt3bs3Vfsntm/fXlZWhiuDlCi1we7IkSPt7e2Yh1Wo1B5TvHnz\nZlEUzzvvvJS8G0jmjDPO+P73v08XTN95550pec/333+fEHLhhRem5N2gNwQ7+C+6f2L//v1j\nf6sTJ0643e4zzzxz7G8F0qutrc3NzU1VsKMn2GEeVqHoHST33ntvSs6s3rx5M8HOCWX65S9/\nuXr1akJIqoZv6YYJBLt0QLCD/0rh/RN0HhbLaBRKo9FMmzbt6NGjKTmZ9pNPPiHYOaFMfr//\niSeeIIQcPHjwhhtuGPsbbtq0Sa/XY0+VQi1atIgQ8t577439rRKJxIcfflhaWorLxNIBwQ7+\nK4UbY3fs2EEQ7JRsxowZqTqZ9pNPPsnIyKDnHoOydHR0hEIh+nrs4zQ+n++LL76YM2cOjjNU\nqDlz5hQWFr777rtj30zzxRdftLe3X3jhhTiaOB0Q7OC/Tj/99FTtn9i2bZtGo0GwU65ULbPr\n7Ow8cODAnDlzsFheiSorK5csWUJfX3bZZWN8t48//jgej+OgE+XSarUXXnihy+Ua+5pLOg97\n0UUXpaIu6AvBDv4rIyNj8uTJe/bsiUQiY3mfeDy+c+fO0047LT8/P1W1gcSysrIIIb/4xS/o\nhb+j9umnnyYSCSywU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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 420, "width": 420 } }, "output_type": "display_data" } ], "source": [ "# ploting the results\n", " grf <- har_plot(model, dataset$serie, detection, dataset$event)\n", " plot(grf)" ] }, { "cell_type": "code", "execution_count": null, "id": "07c53f34", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "R", "language": "R", "name": "ir" }, "language_info": { "codemirror_mode": "r", "file_extension": ".r", "mimetype": "text/x-r-source", "name": "R", "pygments_lexer": "r", "version": "4.4.0" } }, "nbformat": 4, "nbformat_minor": 5 }