From 0b98aee265262317352c6e67ebf3bd9b03bfcda0 Mon Sep 17 00:00:00 2001
From: DesireeWyrzylala <74858504+DesireeWyrzylala@users.noreply.github.com>
Date: Thu, 13 Feb 2025 20:54:39 +0100
Subject: [PATCH] fix file suffix
---
docs/evaluation/Vergleich der Ergebnisse.md | 12 +++
src/models/desi/test_hyperparameters.ipynb | 80 +++++++++++++++++++
...call_sub_iforestpy => call_sub_iforest.py} | 0
3 files changed, 92 insertions(+)
create mode 100644 src/models/desi/test_hyperparameters.ipynb
rename src/models/sofia_modelle/{call_sub_iforestpy => call_sub_iforest.py} (100%)
diff --git a/docs/evaluation/Vergleich der Ergebnisse.md b/docs/evaluation/Vergleich der Ergebnisse.md
index 7fa4db5..0871f39 100644
--- a/docs/evaluation/Vergleich der Ergebnisse.md
+++ b/docs/evaluation/Vergleich der Ergebnisse.md
@@ -538,6 +538,18 @@
+ Daphnet: 0.036445 (MGAB: 0.085299)
+ nach VUS-PR:
+ MGAB: 0.036645 (vgl. MGAB 0.01, + 0.027, $\approx$ 270 %; Daphnet: 0.039747)
+
+**TAO DATENSATZ**
+*Optimale Hyperparameter der Autoren:*
++ {'periodicity': 2, 'n_clusters': 10}
+*Hyperparameter nach Tuning pro Datensatz:*
++ {'periodicity': 1, 'n_clusters': 30} ,257_TAO_id_1_Environment_tr_500_1st_3.csv
++ {'periodicity': 3, 'n_clusters': 20},258_TAO_id_2_Environment_tr_500_1st_4.csv
++ {'periodicity': 2, 'n_clusters': 40},259_TAO_id_3_Environment_tr_500_1st_7.csv
+*Werte mit optimalen Hpyerparametern der Autoren:*
++ 257_TAO_id_1_Environment_tr_500_1st_3.csv:
++ 258_TAO_id_2_Environment_tr_500_1st_4.csv:
++ 259_TAO_id_3_Environment_tr_500_1st_7.csv
# Sub-OCSVM
+ Prozessor: CPU
+ Modell: iCore 5 8th
diff --git a/src/models/desi/test_hyperparameters.ipynb b/src/models/desi/test_hyperparameters.ipynb
new file mode 100644
index 0000000..aac5ce7
--- /dev/null
+++ b/src/models/desi/test_hyperparameters.ipynb
@@ -0,0 +1,80 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import sys\n",
+ "import pathlib\n",
+ "sys.path.append(str(pathlib.Path.absolute)+ '../../')\n",
+ "from src.utils.slidingWindows import find_length_rank\n",
+ "from src.run_model_wrapper import main\n",
+ "from src.models.ahmad.KMeansAD import KMeansAD\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Hyperparamater\n",
+ "params = {'periodicity': 2, 'n_clusters': 10}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#Fit Funktion\n",
+ "def run_KMeansAD_U(data, n_clusters=20, periodicity=1,n_jobs=1):\n",
+ " slidingWindow = find_length_rank(data, rank=periodicity)\n",
+ " clf = KMeansAD(k=n_clusters, window_size=slidingWindow, stride=1, n_jobs=n_jobs)\n",
+ " score = clf.fit_predict(data)\n",
+ " return score.ravel()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model = 'run_KMeansAD_U'\n",
+ "output_path = '../../../docs/evaluation/'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/src/models/sofia_modelle/call_sub_iforestpy b/src/models/sofia_modelle/call_sub_iforest.py
similarity index 100%
rename from src/models/sofia_modelle/call_sub_iforestpy
rename to src/models/sofia_modelle/call_sub_iforest.py
--
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