Created using Colab

Author: andriygav

hometask/task1-5/generator.ipynb

@@ -29,7 +29,7 @@
       "cell_type": "code",
       "metadata": {
         "id": "9CSy43_9KwdH",
-        "outputId": "9d83fbe5-c8ed-4cad-88ef-5cad0985638c",
+        "outputId": "266343d3-5668-431d-adc3-fd925491191c",
         "colab": {
           "base_uri": "https://localhost:8080/"
         }
@@ -55,13 +55,13 @@
         "                                'url': 'https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html#sklearn.datasets.load_breast_cancer'},\n",
         "                               {'name': 'MNIST',\n",
         "                                'url': 'http://yann.lecun.com/exdb/mnist/'}]}\n",
-        "methods = {'regression': ['kNN',\n",
-        "                          'Метод опорных векторов', 'Надарая-Ватсона'],\n",
-        "           'classification': ['kNN',\n",
-        "                              'Метод опорных векторов', 'Метод потенциальных функций']}\n",
+        "methods = {'regression': ['Случайное дерево',\n",
+        "                          'Случайный лес', 'AdaBoost', 'XGBoost', 'CatBoost', 'Наивный байесовский классификатор'],\n",
+        "           'classification': ['Случайное дерево',\n",
+        "                          'Случайный лес', 'AdaBoost', 'XGBoost', 'CatBoost', 'Наивный байесовский классификатор']}\n",
         "task = dict()\n",
         "task['mail'] = input(prompt='Enter your mail: ')\n",
-        "task['id'] = crc32(b'2'+task['mail'].encode('utf-8'))\n",
+        "task['id'] = crc32(b'3'+task['mail'].encode('utf-8'))\n",
         "np.random.seed(task['id'])\n",
         "task['type'] = np.random.choice(types)\n",
         "task['dataset'] = np.random.choice(datasets[task['type']])\n",
@@ -71,7 +71,7 @@
         "\n",
         "task"
       ],
-      "execution_count": null,
+      "execution_count": 1,
       "outputs": [
         {
           "name": "stdout",
@@ -85,17 +85,26 @@
           "data": {
             "text/plain": [
               "{'mail': 'grabovoy.av@phystech.edu',\n",
-              " 'id': 1957435394,\n",
-              " 'type': np.str_('classification'),\n",
-              " 'dataset': {'name': 'Wine Data Set',\n",
-              "  'url': 'https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html#sklearn.datasets.load_wine'},\n",
-              " 'method': ['Метод опорных векторов', 'kNN', 'Метод потенциальных функций']}"
+              " 'id': 3509028876,\n",
+              " 'type': np.str_('regression'),\n",
+              " 'dataset': {'name': 'Servo Data Set',\n",
+              "  'url': 'https://archive.ics.uci.edu/ml/datasets/Servo'},\n",
+              " 'method': ['AdaBoost', 'CatBoost', 'Случайный лес']}"
             ]
           },
           "metadata": {},
-          "execution_count": 2
+          "execution_count": 1
         }
       ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "LrIBzO_FvF4k"
+      },
+      "execution_count": null,
+      "outputs": []
     }
   ]
 }