HATR, HTR in database

Author: bartzbeielstein

notebooks/00_spot_doc.ipynb

@@ -920,87 +920,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Added HATR with split_criterion and levels ['gini', ' info_gain', ' hellinger']\n"
-     ]
-    }
-   ],
-   "source": [
-    "\n",
-    "import tkinter as tk\n",
-    "import json\n",
-    "\n",
-    "def add_item():\n",
-    "    item = item_entry.get()\n",
-    "    parameter = parameter_entry.get()\n",
-    "    levels = levels_entry.get().split(',')\n",
-    "    if item and parameter and levels:\n",
-    "        if item not in data:\n",
-    "            data[item] = {}\n",
-    "        data[item][parameter] = levels\n",
-    "        print(f'Added {item} with {parameter} and levels {levels}')\n",
-    "    else:\n",
-    "        print('Please enter valid values for item, parameter and levels')\n",
-    "\n",
-    "def save_data():\n",
-    "    with open('data.json', 'w') as f:\n",
-    "        json.dump(data, f)\n",
-    "    print(f'Saved data to data.json')\n",
-    "\n",
-    "def exit_gui():\n",
-    "    root.destroy()\n",
-    "\n",
-    "data = {}\n",
-    "\n",
-    "root = tk.Tk()\n",
-    "\n",
-    "item_label = tk.Label(root, text='Item:')\n",
-    "item_label.pack()\n",
-    "\n",
-    "item_entry = tk.Entry(root)\n",
-    "item_entry.pack()\n",
-    "\n",
-    "parameter_label = tk.Label(root, text='Parameter:')\n",
-    "parameter_label.pack()\n",
-    "\n",
-    "parameter_entry = tk.Entry(root)\n",
-    "parameter_entry.pack()\n",
-    "\n",
-    "levels_label = tk.Label(root, text='Levels (comma-separated):')\n",
-    "levels_label.pack()\n",
-    "\n",
-    "levels_entry = tk.Entry(root)\n",
-    "levels_entry.pack()\n",
-    "\n",
-    "add_button = tk.Button(root, text='Add', command=add_item)\n",
-    "add_button.pack()\n",
-    "\n",
-    "save_button = tk.Button(root, text='Save', command=save_data)\n",
-    "save_button.pack()\n",
-    "\n",
-    "exit_button = tk.Button(root, text='Exit', command=exit_gui)\n",
-    "exit_button.pack()\n",
-    "\n",
-    "root.mainloop()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Loaded data from data.json\n",
-      "Please enter valid values for item, parameter and levels\n"
+      "Added HoeffdingTreeClassifier with split_criterion and levels ['gini', ' info_gain', ' hellinger']\n",
+      "Added HoeffdingTreeClassifier with leaf_prediction and levels ['mc', ' nb', ' nba']\n",
+      "Added HoeffdingTreeClassifier with binary_split and levels ['0', '1']\n",
+      "Added HoeffdingTreeClassifier with stop_mem_management and levels ['0', '1']\n",
+      "Saved data to data.json\n",
+      "Saved data to data.json\n"
      ]
     }
    ],

notebooks/data.json

@@ -1 +1 @@
-{"HoeffdingAdaptiveTreeClassifier": {"split_criterion": ["gini", " info_gain", " hellinger"]}}
+{"HoeffdingAdaptiveTreeClassifier": {"split_criterion": ["gini", " info_gain", " hellinger"], "leaf_prediction": ["mc", " nb", " nba"], "bootstrap_sampling": ["0", "1"]}, "HoeffdingTreeClassifier": {"split_criterion": ["gini", " info_gain", " hellinger"], "leaf_prediction": ["mc", " nb", " nba"], "binary_split": ["0", "1"], "stop_mem_management": ["0", "1"]}}