diff --git a/Übung 2/flower_training.ipynb b/Übung 2/flower_training.ipynb index cdb40e8..e4631aa 100644 --- a/Übung 2/flower_training.ipynb +++ b/Übung 2/flower_training.ipynb @@ -6,8 +6,8 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2026-10-04T09:28:26.125908200Z", - "start_time": "2026-10-04T09:28:26.087555100Z" + "end_time": "2026-10-11T19:31:43.718217600Z", + "start_time": "2026-10-11T19:31:43.614133400Z" } }, "source": [ @@ -15,16 +15,18 @@ "import numpy as np\n", "from nnwplot import plotTwoFeatures\n", "from sklearn.neighbors import KNeighborsClassifier\n", - "from sklearn.cluster import KMeans, DBSCAN" + "from sklearn.cluster import KMeans, DBSCAN\n", + "from sklearn.svm import SVR\n", + "import matplotlib.pyplot as plt\n" ], "outputs": [], - "execution_count": 28 + "execution_count": 16 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-04T08:55:13.379546900Z", - "start_time": "2026-10-04T08:55:13.341972400Z" + "end_time": "2026-10-11T19:31:43.798501200Z", + "start_time": "2026-10-11T19:31:43.742238300Z" } }, "cell_type": "code", @@ -36,13 +38,13 @@ ], "id": "b4e863de5bc956", "outputs": [], - "execution_count": 2 + "execution_count": 17 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-04T08:55:13.492273800Z", - "start_time": "2026-10-04T08:55:13.386609600Z" + "end_time": "2026-10-11T19:31:43.981711100Z", + "start_time": "2026-10-11T19:31:43.820513900Z" } }, "cell_type": "code", @@ -60,13 +62,13 @@ ] } ], - "execution_count": 3 + "execution_count": 18 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-04T08:55:13.811777Z", - "start_time": "2026-10-04T08:55:13.514275500Z" + "end_time": "2026-10-11T19:31:44.130325500Z", + "start_time": "2026-10-11T19:31:44.006238Z" } }, "cell_type": "code", @@ -788,7 +790,7 @@ " justify-content: center;\n", " margin-top: 0.5em;\n", "}\n", - "
LinearSVC()
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