{ "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><fct>
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 <fct> |\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 tt time series\n", "dataset <- examples_anomalies$tt\n", "dataset$event <- factor(dataset$event, labels=c(\"FALSE\", \"TRUE\"))\n", "head(dataset)" ] }, { "cell_type": "code", "execution_count": 4, "id": "b744a3ad", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Warning message:\n", "“\u001b[1m\u001b[22mRemoved 1 rows containing missing values (`geom_point()`).”\n", "Warning message:\n", "“\u001b[1m\u001b[22mRemoved 1 row containing missing values (`geom_line()`).”\n" ] }, { "data": { "image/png": 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2wUTLir7ssOX0TEs6MbFBzuKY/In9bs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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 420, "width": 420 } }, "output_type": "display_data" } ], "source": [ "#ploting the time series\n", "plot_ts(x = 1:length(dataset$serie), y = dataset$serie)" ] }, { "cell_type": "code", "execution_count": 5, "id": "03d7909d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ " serie event \n", " Min. :0.0000 FALSE:76 \n", " 1st Qu.:0.2859 TRUE : 4 \n", " Median :0.5348 \n", " Mean :0.5221 \n", " 3rd Qu.:0.7587 \n", " Max. :1.0000 " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# data preprocessing\n", "slevels <- levels(dataset$event)\n", "\n", "train <- dataset[1:80,]\n", "test <- dataset[-(1:80),]\n", "\n", "norm <- minmax()\n", "norm <- fit(norm, train)\n", "train_n <- transform(norm, train)\n", "summary(train_n)" ] }, { "cell_type": "code", "execution_count": 6, "id": "e0c8a397", "metadata": {}, "outputs": [], "source": [ "model <- hanc_ml(cla_rf(\"event\", slevels, mtry = 1, ntree=5))" ] }, { "cell_type": "code", "execution_count": 7, "id": "9d0079cf", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " idx event type\n", "1 12 TRUE anomaly\n", "2 24 TRUE anomaly\n", "3 38 TRUE anomaly\n", "4 50 TRUE anomaly\n", " event \n", "detection TRUE FALSE\n", "TRUE 4 0 \n", "FALSE 0 76 \n" ] } ], "source": [ "# fitting the model\n", "model <- fit(model, train_n)\n", "detection <- detect(model, train_n)\n", "print(detection |> dplyr::filter(event==TRUE))\n", "# evaluating the training\n", "evaluation <- evaluate(model, detection$event, as.logical(train_n$event))\n", "print(evaluation$confMatrix)" ] }, { "cell_type": "code", "execution_count": 8, "id": "863506fd", "metadata": {}, "outputs": [ { "data": { "image/png": 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UGwYye4zLEjoqioqHnz5lVXV9fW1nIpABRB5iU+ixYtcrvdStzrH+RXXFzc2Nh4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\nrgXou/POOw8fPrx//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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 420, "width": 420 } }, "output_type": "display_data" } ], "source": [ "# ploting training results\n", " grf <- har_plot(model, train_n$serie, detection, as.logical(train_n$event))\n", " plot(grf)" ] }, { "cell_type": "code", "execution_count": 9, "id": "1241ed10", "metadata": {}, "outputs": [], "source": [ "# preparing for testing\n", " test_n <- transform(norm, test)" ] }, { "cell_type": "code", "execution_count": 10, "id": "10456892", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " idx event type\n", "1 10 TRUE anomaly\n", " event \n", "detection TRUE FALSE\n", "TRUE 1 0 \n", "FALSE 1 20 \n" ] } ], "source": [ "# evaluating the detections during testing\n", " detection <- detect(model, test_n)\n", "\n", " print(detection |> dplyr::filter(event==TRUE))\n", "\n", " evaluation <- evaluate(model, detection$event, as.logical(test_n$event))\n", " print(evaluation$confMatrix)" ] }, { "cell_type": "code", "execution_count": 11, "id": "075f7d2f", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Warning message:\n", "“\u001b[1m\u001b[22mRemoved 1 rows containing missing values (`geom_point()`).”\n", "Warning message:\n", "“\u001b[1m\u001b[22mRemoved 1 row containing missing values (`geom_line()`).”\n" ] }, { "data": { "image/png": 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Xbs2JGdnd2iRYvJkydLt0ASww4AAMtW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"text/plain": [ "plot without title" ] }, "metadata": { "image/png": { "height": 420, "width": 420 } }, "output_type": "display_data" } ], "source": [ "# ploting the results during testing\n", " grf <- har_plot(model, test_n$serie, detection, as.logical(test_n$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 }