{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/teddy/miniconda3/envs/gsnn-mds/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import networkx as nx \n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sbn\n",
    "import numpy as np\n",
    "from scipy.integrate import solve_ivp\n",
    "import networkx as nx\n",
    "import random\n",
    "import torch\n",
    "import copy\n",
    "import pandas as pd\n",
    "import gc\n",
    "import torch_geometric as pyg \n",
    "\n",
    "from gsnn.models.GSNN import GSNN\n",
    "from gsnn.models.NN import NN\n",
    "from gsnn.simulate.nx2pyg import nx2pyg\n",
    "from gsnn.simulate.simulate import simulate\n",
    "from gsnn.optim.EarlyStopper import EarlyStopper\n",
    "from gsnn.simulate.datasets import simulate_3_in_3_out\n",
    "\n",
    "# for reproducibility \n",
    "torch.manual_seed(0)\n",
    "np.random.seed(0)\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "G, pos, x_train, x_test, y_train, y_test, input_nodes, function_nodes, output_nodes = simulate_3_in_3_out(n_train=10, n_test=100, noise_scale=0.1, device='cuda')\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "nx.draw_networkx(G, pos, with_labels=True, node_color='lightblue', node_size=500, font_size=10, arrowstyle='->', arrowsize=20)\n",
    "plt.title(\"Dummy Graph: 3 Inputs, 3 Outputs, 5 Function Nodes\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Performance comparison on simulated data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(model, model_params, train_params, x_train, y_train, x_test, y_test, device, max_epochs=500, patience=20): \n",
    "\n",
    "    gc.collect() \n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "    model = model(**model_params).to(device)\n",
    "\n",
    "    optim = torch.optim.Adam(model.parameters(), lr=train_params['lr'], weight_decay=train_params['weight_decay'])\n",
    "    crit = torch.nn.MSELoss()\n",
    "\n",
    "    early_stopper = EarlyStopper(patience=patience, min_delta=1e-3)\n",
    "\n",
    "    losses = []\n",
    "    for i in range(max_epochs): \n",
    "        model.train()\n",
    "        optim.zero_grad() \n",
    "        yhat = model(x_train)\n",
    "        loss = crit(y_train, yhat)\n",
    "        loss.backward() \n",
    "        optim.step()\n",
    "\n",
    "        with torch.no_grad(): \n",
    "            model.eval()\n",
    "            loss = crit(model(x_test), y_test)\n",
    "            losses.append(loss.item())\n",
    "            if early_stopper.early_stop(loss): break\n",
    "\n",
    "    del model; del optim; del crit \n",
    "\n",
    "    return losses\n",
    "\n",
    "def run_search(model, model_params, training_params, x_train, y_train, x_test, y_test, device, iters=10):\n",
    "\n",
    "    res = {**{k:[] for k in model_params.keys() if k not in ['edge_index_dict', 'node_names_dict']}, **{k:[] for k in training_params.keys()}}\n",
    "    losses = []\n",
    "    for i in range(iters): \n",
    "        print(f'progress: {i}/{iters}', end='\\r')\n",
    "        \n",
    "        mp = {k:np.random.choice(model_params[k], size=1).item() for k,v in model_params.items()}\n",
    "        tp = {k:np.random.choice(training_params[k], size=1).item() for k,v in training_params.items()}\n",
    "        losses.append( train(model, mp, tp, x_train, y_train, x_test, y_test, device) )\n",
    "\n",
    "        _=[res[k].append(v) for k,v in mp.items() if k not in ['edge_index_dict', 'node_names_dict']] \n",
    "        _=[res[k].append(v) for k,v in tp.items()]\n",
    "\n",
    "    res = pd.DataFrame(res)\n",
    "    return res, losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "device = 'cuda' if torch.cuda.is_available() else 'cpu'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "iters = 250\n",
    "\n",
    "gsnn_search_space = {'channels':np.arange(2, 20).tolist(), \n",
    "                'layers':np.arange(1, 10).tolist(),\n",
    "                'share_layers':[True, False], \n",
    "                'add_function_self_edges':[True, False],\n",
    "                'norm':['none', 'layer', 'batch', 'softmax', 'groupbatch'],\n",
    "                'norm_first':[True, False],\n",
    "                'init':['xavier_uniform', 'xavier_normal', 'kaiming_uniform', 'kaiming_normal', 'degree_normalized'],\n",
    "                'bias':[True, False], \n",
    "                'node_attn':[True, False],\n",
    "                'dropout':[0, 0.1],\n",
    "                'residual':[True, False]}\n",
    "\n",
    "gsnn_training_params = {'lr': [1e-2, 5e-3, 1e-3], \n",
    "                        'max_epochs':[100], \n",
    "                        'device':[device], \n",
    "                        'weight_decay':[0, 1e-2, 1e-4, 1e-6]} "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "progress: 0/250\r"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/teddy/local/GSNN/gsnn/models/GSNN.py:543: UserWarning: It is recommended to apply softmax normalization after the nonlinearity (set norm_first=False)\n",
      "  if norm_first: warnings.warn('It is recommended to apply softmax normalization after the nonlinearity (set norm_first=False)')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "progress: 249/250\r"
     ]
    }
   ],
   "source": [
    "# GSNN with true graph structure\n",
    "data = nx2pyg(G, input_nodes, function_nodes, output_nodes) \n",
    "\n",
    "model_params = {**{'edge_index_dict':[data.edge_index_dict], \n",
    "                'node_names_dict':[data.node_names_dict]}, \n",
    "                **gsnn_search_space}\n",
    "\n",
    "res_gsnn, test_losses_gsnn = run_search(GSNN, model_params, gsnn_training_params, x_train, y_train, x_test, y_test, device, iters=iters)\n",
    "\n",
    "res_gsnn = res_gsnn.assign(last_loss=[x[-1] for x in test_losses_gsnn], \n",
    "                            best_loss=[min(x) for x in test_losses_gsnn]) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "progress: 2/250\r"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<string>:86: UserWarning: It is recommended to apply softmax normalization after the nonlinearity (set norm_first=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "progress: 249/250\r"
     ]
    }
   ],
   "source": [
    "# choose random edges from GSNN graph structure\n",
    "\n",
    "edge_index_dict = copy.deepcopy(data.edge_index_dict)\n",
    "E = edge_index_dict['function', 'to', 'function'].size(1)\n",
    "edge_index_dict['function', 'to', 'function']  = torch.randint(low=0, high=len(function_nodes), size=(2,E))\n",
    "\n",
    "model_params = {**{'edge_index_dict':[edge_index_dict], \n",
    "                'node_names_dict':[data.node_names_dict]}, \n",
    "                **gsnn_search_space}\n",
    "\n",
    "res_gsnn_rand, test_losses_gsnn_rand = run_search(GSNN, model_params, gsnn_training_params, x_train, y_train, x_test, y_test, device, iters=iters)\n",
    "\n",
    "res_gsnn_rand = res_gsnn_rand.assign(last_loss=[x[-1] for x in test_losses_gsnn_rand], \n",
    "                            best_loss=[min(x) for x in test_losses_gsnn_rand]) \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "progress: 1/250\r"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<string>:86: UserWarning: It is recommended to apply softmax normalization after the nonlinearity (set norm_first=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "progress: 249/250\r"
     ]
    }
   ],
   "source": [
    "# Fully connected GSNN (all nodes connected to each other)\n",
    "\n",
    "edge_index_dict = copy.deepcopy(data.edge_index_dict)\n",
    "edge_index_dict['function', 'to', 'function']  = torch.stack((torch.arange(len(function_nodes)).repeat_interleave(len(function_nodes)), \n",
    "                                                              torch.arange(len(function_nodes)).repeat(len(function_nodes))), dim=0)\n",
    "\n",
    "model_params = {**{'edge_index_dict':[edge_index_dict], \n",
    "                'node_names_dict':[data.node_names_dict]}, \n",
    "                **gsnn_search_space}\n",
    "\n",
    "res_gsnn_full, test_losses_gsnn_full = run_search(GSNN, model_params, gsnn_training_params, x_train, y_train, x_test, y_test, device, iters=iters)\n",
    "\n",
    "res_gsnn_full = res_gsnn_full.assign(last_loss=[x[-1] for x in test_losses_gsnn_full], \n",
    "                            best_loss=[min(x) for x in test_losses_gsnn_full]) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "progress: 249/250\r"
     ]
    }
   ],
   "source": [
    "nn_model_params = {'in_channels':[x_train.size(1)], \n",
    "                'out_channels':[y_train.size(1)], \n",
    "                'hidden_channels':[16,32,64,128,256,512], \n",
    "                'layers':[1,2,3],\n",
    "                'norm':[torch.nn.BatchNorm1d, torch.nn.LayerNorm, None],\n",
    "                'dropout':[0, 0.1, 0.25]}\n",
    "\n",
    "nn_training_params = {'lr': [1e-2, 1e-3, 1e-4], \n",
    "                      'max_epochs':[100], \n",
    "                        'device':[device], \n",
    "                        'weight_decay':[0, 1e-2, 1e-4, 1e-6]} \n",
    "\n",
    "res_nn, losses_nn = run_search(NN, nn_model_params, nn_training_params, x_train, y_train, x_test, y_test, device, iters=iters)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best test loss NN: 0.7176795601844788\n",
      "best test loss GSNN: 0.5735707879066467\n",
      "best test loss GSNN (rand graph): 1.8951518535614014\n",
      "best test loss GSNN (fully connected): 0.6027514338493347\n"
     ]
    }
   ],
   "source": [
    "print(f'best test loss NN: {min([min(loss) for loss in losses_nn])}')\n",
    "print(f'best test loss GSNN: {min([min(loss) for loss in test_losses_gsnn])}')\n",
    "print(f'best test loss GSNN (rand graph): {min([min(loss) for loss in test_losses_gsnn_rand])}')\n",
    "print(f'best test loss GSNN (fully connected): {min([min(loss) for loss in test_losses_gsnn_full])}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alpha = 0.25\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "\n",
    "for i, loss in enumerate(losses_nn): \n",
    "    if i == 0: \n",
    "        plt.plot(loss, 'r-', label='nn', alpha=alpha)\n",
    "    else:\n",
    "        plt.plot(loss, 'r-', alpha=alpha)\n",
    "\n",
    "for i, loss in enumerate(test_losses_gsnn):\n",
    "    if i == 0: \n",
    "        plt.plot(loss, 'b-', label='gsnn', alpha=alpha)\n",
    "    else:\n",
    "        plt.plot(loss, 'b-', alpha=alpha)\n",
    "\n",
    "for i, loss in enumerate(test_losses_gsnn_rand):\n",
    "    if i == 0: \n",
    "        plt.plot(loss, 'g-', label='gsnn [rand graph]', alpha=alpha)\n",
    "    else:\n",
    "        plt.plot(loss, 'g-', alpha=alpha)\n",
    "\n",
    "for i, loss in enumerate(test_losses_gsnn_full):\n",
    "    if i == 0: \n",
    "        plt.plot(loss, 'k-', label='gsnn [fully connected graph]', alpha=alpha)\n",
    "    else:\n",
    "        plt.plot(loss, 'k-', alpha=alpha)\n",
    "\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Test Loss')\n",
    "\n",
    "plt.ylim(0.,5)\n",
    "plt.legend()\n",
    "#plt.yscale('log')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(0.,1.5,20)\n",
    "\n",
    "plt.figure()\n",
    "plt.hist([min(loss) for loss in losses_nn], label='nn', alpha=0.25, color='r', bins=bins)\n",
    "plt.hist([min(loss) for loss in test_losses_gsnn], label='gsnn', alpha=0.25, color='b', bins=bins)\n",
    "plt.hist([min(loss) for loss in test_losses_gsnn_rand], label='gsnn [rand graph]', alpha=0.25, color='g', bins=bins)\n",
    "plt.hist([min(loss) for loss in test_losses_gsnn_full], label='gsnn [fully connected graph]', alpha=0.25, color='k', bins=bins)\n",
    "\n",
    "plt.axvline(np.nanmin([min(loss) for loss in losses_nn]),  color='r', label='best loss nn')\n",
    "plt.axvline(np.nanmin([min(loss) for loss in test_losses_gsnn]),  color='b', label='best loss gsnn')\n",
    "plt.axvline(np.nanmin([min(loss) for loss in test_losses_gsnn_rand]),  color='g', label='best loss gsnn [rand graph]')\n",
    "plt.axvline(np.nanmin([min(loss) for loss in test_losses_gsnn_full]), color='k', label='best loss gsnn [fully connected graph]')\n",
    "\n",
    "plt.xlabel('Test Loss')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Distribution of Test Losses')\n",
    "\n",
    "# place legend outside \n",
    "plt.legend(loc='upper right', bbox_to_anchor=(1.7, 1))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>channels</th>\n",
       "      <th>layers</th>\n",
       "      <th>share_layers</th>\n",
       "      <th>add_function_self_edges</th>\n",
       "      <th>norm</th>\n",
       "      <th>norm_first</th>\n",
       "      <th>init</th>\n",
       "      <th>bias</th>\n",
       "      <th>node_attn</th>\n",
       "      <th>dropout</th>\n",
       "      <th>residual</th>\n",
       "      <th>lr</th>\n",
       "      <th>max_epochs</th>\n",
       "      <th>device</th>\n",
       "      <th>weight_decay</th>\n",
       "      <th>last_loss</th>\n",
       "      <th>best_loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>16</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>groupbatch</td>\n",
       "      <td>True</td>\n",
       "      <td>kaiming_uniform</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.001</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.923655</td>\n",
       "      <td>0.573571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>batch</td>\n",
       "      <td>False</td>\n",
       "      <td>xavier_normal</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.001</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.739822</td>\n",
       "      <td>0.624148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>none</td>\n",
       "      <td>True</td>\n",
       "      <td>xavier_uniform</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.005</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.664637</td>\n",
       "      <td>0.656619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>none</td>\n",
       "      <td>True</td>\n",
       "      <td>xavier_uniform</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.1</td>\n",
       "      <td>True</td>\n",
       "      <td>0.005</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>0.793066</td>\n",
       "      <td>0.720276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>groupbatch</td>\n",
       "      <td>False</td>\n",
       "      <td>kaiming_uniform</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.1</td>\n",
       "      <td>True</td>\n",
       "      <td>0.001</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.810300</td>\n",
       "      <td>0.728431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>none</td>\n",
       "      <td>False</td>\n",
       "      <td>xavier_normal</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>0.1</td>\n",
       "      <td>True</td>\n",
       "      <td>0.001</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>0.875153</td>\n",
       "      <td>0.734254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>groupbatch</td>\n",
       "      <td>False</td>\n",
       "      <td>degree_normalized</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.1</td>\n",
       "      <td>True</td>\n",
       "      <td>0.010</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.796136</td>\n",
       "      <td>0.740526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>17</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>groupbatch</td>\n",
       "      <td>False</td>\n",
       "      <td>xavier_uniform</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.1</td>\n",
       "      <td>True</td>\n",
       "      <td>0.001</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.784862</td>\n",
       "      <td>0.740692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>batch</td>\n",
       "      <td>True</td>\n",
       "      <td>degree_normalized</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>0.1</td>\n",
       "      <td>True</td>\n",
       "      <td>0.010</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>0.873577</td>\n",
       "      <td>0.741292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>groupbatch</td>\n",
       "      <td>False</td>\n",
       "      <td>degree_normalized</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.1</td>\n",
       "      <td>False</td>\n",
       "      <td>0.010</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>0.970243</td>\n",
       "      <td>0.763087</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     channels  layers  share_layers  add_function_self_edges        norm  \\\n",
       "227        16       6          True                    False  groupbatch   \n",
       "225         9       6          True                    False       batch   \n",
       "124        19       7          True                     True        none   \n",
       "68          5       2          True                    False        none   \n",
       "201         9       5          True                    False  groupbatch   \n",
       "90          5       8         False                     True        none   \n",
       "143         9       4         False                     True  groupbatch   \n",
       "86         17       6          True                    False  groupbatch   \n",
       "62          7       8         False                    False       batch   \n",
       "129        13       4          True                     True  groupbatch   \n",
       "\n",
       "     norm_first               init   bias  node_attn  dropout  residual  \\\n",
       "227        True    kaiming_uniform   True       True      0.0      True   \n",
       "225       False      xavier_normal   True       True      0.0      True   \n",
       "124        True     xavier_uniform   True      False      0.0      True   \n",
       "68         True     xavier_uniform   True      False      0.1      True   \n",
       "201       False    kaiming_uniform   True      False      0.1      True   \n",
       "90        False      xavier_normal  False       True      0.1      True   \n",
       "143       False  degree_normalized   True      False      0.1      True   \n",
       "86        False     xavier_uniform   True      False      0.1      True   \n",
       "62         True  degree_normalized  False       True      0.1      True   \n",
       "129       False  degree_normalized  False      False      0.1     False   \n",
       "\n",
       "        lr  max_epochs device  weight_decay  last_loss  best_loss  \n",
       "227  0.001         100   cuda      0.000001   0.923655   0.573571  \n",
       "225  0.001         100   cuda      0.010000   0.739822   0.624148  \n",
       "124  0.005         100   cuda      0.010000   0.664637   0.656619  \n",
       "68   0.005         100   cuda      0.000100   0.793066   0.720276  \n",
       "201  0.001         100   cuda      0.000001   0.810300   0.728431  \n",
       "90   0.001         100   cuda      0.000100   0.875153   0.734254  \n",
       "143  0.010         100   cuda      0.000001   0.796136   0.740526  \n",
       "86   0.001         100   cuda      0.000001   0.784862   0.740692  \n",
       "62   0.010         100   cuda      0.000100   0.873577   0.741292  \n",
       "129  0.010         100   cuda      0.000100   0.970243   0.763087  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# best gsnn hyper params \n",
    "res_gsnn.sort_values(by='best_loss', ascending=True).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>channels</th>\n",
       "      <th>layers</th>\n",
       "      <th>share_layers</th>\n",
       "      <th>add_function_self_edges</th>\n",
       "      <th>norm</th>\n",
       "      <th>norm_first</th>\n",
       "      <th>init</th>\n",
       "      <th>bias</th>\n",
       "      <th>node_attn</th>\n",
       "      <th>dropout</th>\n",
       "      <th>residual</th>\n",
       "      <th>lr</th>\n",
       "      <th>max_epochs</th>\n",
       "      <th>device</th>\n",
       "      <th>weight_decay</th>\n",
       "      <th>last_loss</th>\n",
       "      <th>best_loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>softmax</td>\n",
       "      <td>False</td>\n",
       "      <td>xavier_normal</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.1</td>\n",
       "      <td>False</td>\n",
       "      <td>0.005</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.849866</td>\n",
       "      <td>3.725335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>layer</td>\n",
       "      <td>False</td>\n",
       "      <td>kaiming_uniform</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>0.1</td>\n",
       "      <td>False</td>\n",
       "      <td>0.001</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.014930</td>\n",
       "      <td>3.709452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>softmax</td>\n",
       "      <td>False</td>\n",
       "      <td>kaiming_normal</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.1</td>\n",
       "      <td>True</td>\n",
       "      <td>0.005</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>3.836648</td>\n",
       "      <td>3.690697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>layer</td>\n",
       "      <td>True</td>\n",
       "      <td>degree_normalized</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.001</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>3.814396</td>\n",
       "      <td>3.670802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>softmax</td>\n",
       "      <td>False</td>\n",
       "      <td>kaiming_normal</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.010</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>4.247405</td>\n",
       "      <td>3.662463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>groupbatch</td>\n",
       "      <td>True</td>\n",
       "      <td>degree_normalized</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>0.1</td>\n",
       "      <td>False</td>\n",
       "      <td>0.001</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>3.705945</td>\n",
       "      <td>3.649127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>groupbatch</td>\n",
       "      <td>False</td>\n",
       "      <td>xavier_uniform</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.1</td>\n",
       "      <td>False</td>\n",
       "      <td>0.001</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>3.892294</td>\n",
       "      <td>3.640035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>softmax</td>\n",
       "      <td>True</td>\n",
       "      <td>degree_normalized</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.001</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.644818</td>\n",
       "      <td>3.631876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>softmax</td>\n",
       "      <td>False</td>\n",
       "      <td>kaiming_uniform</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.010</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>3.981524</td>\n",
       "      <td>3.625456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>softmax</td>\n",
       "      <td>True</td>\n",
       "      <td>xavier_normal</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>0.0</td>\n",
       "      <td>True</td>\n",
       "      <td>0.005</td>\n",
       "      <td>100</td>\n",
       "      <td>cuda</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>3.759164</td>\n",
       "      <td>3.614584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     channels  layers  share_layers  add_function_self_edges        norm  \\\n",
       "63          3       7         False                     True     softmax   \n",
       "210         5       6          True                    False       layer   \n",
       "219         3       8          True                     True     softmax   \n",
       "147         3       1         False                    False       layer   \n",
       "10          2       4          True                    False     softmax   \n",
       "19         17       7          True                    False  groupbatch   \n",
       "24          7       9          True                    False  groupbatch   \n",
       "145        10       1         False                     True     softmax   \n",
       "125         7       5          True                    False     softmax   \n",
       "66          4       8          True                    False     softmax   \n",
       "\n",
       "     norm_first               init   bias  node_attn  dropout  residual  \\\n",
       "63        False      xavier_normal  False      False      0.1     False   \n",
       "210       False    kaiming_uniform  False       True      0.1     False   \n",
       "219       False     kaiming_normal   True      False      0.1      True   \n",
       "147        True  degree_normalized  False      False      0.0      True   \n",
       "10        False     kaiming_normal   True       True      0.0      True   \n",
       "19         True  degree_normalized  False       True      0.1     False   \n",
       "24        False     xavier_uniform   True      False      0.1     False   \n",
       "145        True  degree_normalized  False      False      0.0      True   \n",
       "125       False    kaiming_uniform  False      False      0.0      True   \n",
       "66         True      xavier_normal   True       True      0.0      True   \n",
       "\n",
       "        lr  max_epochs device  weight_decay  last_loss  best_loss  \n",
       "63   0.005         100   cuda      0.000000   3.849866   3.725335  \n",
       "210  0.001         100   cuda      0.000000   4.014930   3.709452  \n",
       "219  0.005         100   cuda      0.010000   3.836648   3.690697  \n",
       "147  0.001         100   cuda      0.000100   3.814396   3.670802  \n",
       "10   0.010         100   cuda      0.000001   4.247405   3.662463  \n",
       "19   0.001         100   cuda      0.000001   3.705945   3.649127  \n",
       "24   0.001         100   cuda      0.010000   3.892294   3.640035  \n",
       "145  0.001         100   cuda      0.000000   3.644818   3.631876  \n",
       "125  0.010         100   cuda      0.000001   3.981524   3.625456  \n",
       "66   0.005         100   cuda      0.000001   3.759164   3.614584  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res_gsnn.sort_values(by='best_loss', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "sbn.boxplot(x='node_attn', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "sbn.boxplot(x='norm', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "sbn.boxplot(x='norm_first', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure() \n",
    "sbn.boxplot(x='init', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure() \n",
    "sbn.boxplot(x='share_layers', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure() \n",
    "sbn.boxplot(x='bias', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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KDz30kO6+++6/3D89PV19+vTRww8/rPfff1+bNm3SyJEj1aRJkzIdDwAAzFeuctO1a1dJv5WMsLCwy36rd0xMjGJiYsq8/xtvvKGwsDDNmjVLkhQZGamUlBS98sorlBsAACCpgg8Up6WladOmTa7lOXPmqF27dhowYIBOnjxZaeH+aPPmzerZs2exdb169VJKSorOnz9f6nEFBQXKzc0t9gIAAGaqULkZP368qyDs2rVL8fHx6tOnjw4dOqT4+PhKDfh7R44cKfGzJQIDA1VYWKjjx4+Xety0adPk5+fneoWGhlZZRgAAYK8KlZv09HS1adNGkrRkyRL169dPU6dO1dy5c7VixYpKDfhHf5wKu/iDAv9siiwhIUE5OTmuV1ZWVpVmBAAA9qnQTyj29PTU6dOnJUn//e9/FRsbK0kKCAio0imfq666SkeOHCm27tixY/Lw8FCjRo1KPc7Ly0teXl5VlgsAANQcFSo3N910k+Lj49WlSxdt3bpVixcvliTt27dPTZs2rdSAv9epUyd9/vnnxdatXr1aHTp0UL169arsugAAoPao0LTU7Nmz5eHhoU8++USJiYkKCQmRJK1YsUK9e/cu83lOnTqlnTt3aufOnZJ+m+7auXOnMjMzJf02nXRxVEiSRowYoYyMDMXHxystLU3vvPOO5s+fr8cff7witwEAAAxUoZGbsLAwffHFFyXWz5w5s1znSUlJUffu3V3LFx9GHjRokJKSkpSdne0qOpLUvHlzLV++XGPHjtWcOXMUHBys1157jbeBAwAAlwp/KvjBgwe1YMECHTx4UK+++qquvPJKrVy5UqGhobrmmmvKdI5u3br96SeHJyUllVjXtWtXbd++vaKxAQCA4So0LbVu3Tpde+21+uabb7R06VKdOnVKkvTdd99p4sSJlRoQAACgPCpUbp566im98MILSk5Olqenp2t99+7dtXnz5koLBwAAUF4VKje7du3SnXfeWWJ9kyZNdOLEicsOBQAAUFEVKjf+/v7Kzs4usX7Hjh2ud04BAADYoUIPFA8YMEBPPvmkPv74YzkcDhUVFWnTpk16/PHHi711u65zO5tjdwSgRuF7AkB1qFC5mTJligYPHqyQkBBZlqU2bdqosLBQAwcO1NNPP13ZGWsdPz8/1fP0kg6tszsKUOPU8/SSn5+f3TEAGKxC5aZevXpatGiRnn/+eaWkpMjhcKh9+/Zq2bJlZeerlQIDA/X+ewuVk8O/UmuCjIwMTZkyRRMmTFB4eLjdceo8Pz+/Eh+ACwCVqcI/52b+/PmaOXOm9u/fL0lq1aqVxowZo2HDhlVauNosMDCQP8BrmPDwcEVERNgdAwBQxSpUbp555hnNnDlTo0ePVqdOnSRJmzdv1tixY/XDDz/ohRdeqNSQAAAAZVWhcpOYmKi33npLDzzwgGvdHXfcoeuuu06jR4+m3AAAANtU6K3gFy5cUIcOHUqsj46OVmFh4WWHAgAAqKgKlZsHH3xQiYmJJdbPmzdPAwcOvOxQAAAAFVXmaamLn9gtSQ6HQ2+//bZWr16tjh07SpK2bNmirKwsfs4NAACwVZnLzY4dO4otR0dHS/rt08Gl3z56oUmTJtq9e3clxgMAACifMpebNWvWVGUOAACASlGhZ24AAABqKsoNAAAwCuUGAAAYhXIDAACMQrkBAABGodwAAACjUG4AAIBRKDcAAMAolBsAAGAUyg0AADAK5QYAABiFcgMAAIxCuQEAAEah3AAAAKNQbgAAgFEoNwAAwCiUGwAAYBTKDQAAMArlBgAAGIVyAwAAjEK5AQAARqHcAAAAo1BuAACAUSg3AADAKJQbAABgFMoNAAAwCuUGAAAYhXIDAACMQrkBAABGodwAAACjUG4AAIBRKDcAAMAolBsAAGAUyg0AADAK5QYAABiFcgMAAIxCuQEAAEah3AAAAKNQbgAAgFEoNwAAwCiUGwAAYBTKDQAAMArlBgAAGIVyAwAAjEK5AQAARqHcAAAAo1BuAACAUWpEuZk7d66aN28up9Op6Ohobdiw4U/3X7RokaKiolS/fn0FBQXpoYce0okTJ6opLQAAqMlsLzeLFy/WmDFjNGHCBO3YsUM333yzYmJilJmZecn9N27cqNjYWA0dOlS7d+/Wxx9/rG3btmnYsGHVnBwAANREtpebGTNmaOjQoRo2bJgiIyM1a9YshYaGKjEx8ZL7b9myRc2aNVNcXJyaN2+um266SY888ohSUlKqOTkAAKiJbC03586dU2pqqnr27Flsfc+ePfX1119f8pjOnTvrxx9/1PLly2VZlo4ePapPPvlEt99+e6nXKSgoUG5ubrEXAAAwk63l5vjx47pw4YICAwOLrQ8MDNSRI0cueUznzp21aNEi3X///fL09NRVV10lf39/vf7666VeZ9q0afLz83O9QkNDK/U+AABAzWH7tJQkORyOYsuWZZVYd9GePXsUFxenZ599VqmpqVq5cqXS09M1YsSIUs+fkJCgnJwc1ysrK6tS8wMAgJrDw86LN27cWO7u7iVGaY4dO1ZiNOeiadOmqUuXLho/frwk6brrrpOPj49uvvlmvfDCCwoKCipxjJeXl7y8vCr/BgAAQI1j68iNp6enoqOjlZycXGx9cnKyOnfufMljTp8+LTe34rHd3d0l/TbiAwAA6jbbp6Xi4+P19ttv65133lFaWprGjh2rzMxM1zRTQkKCYmNjXfv369dPS5cuVWJiog4dOqRNmzYpLi5ON9xwg4KDg+26DQAAUEPYOi0lSffff79OnDih5557TtnZ2Wrbtq2WL1+u8PBwSVJ2dnaxn3kzePBg5eXlafbs2Ro3bpz8/f11yy236KWXXrLrFgAAQA1ie7mRpJEjR2rkyJGX3JaUlFRi3ejRozV69OgqTgUAAGoj26elAAAAKhPlBgAAGIVyAwAAjEK5AQAARqHcAAAAo1BuAACAUSg3AADAKJQbAABgFMoNAAAwCuUGAAAYhXIDAACMQrkBAABGodwAAACjUG4AAIBRKDcAAMAolBsAAGAUyg0AADAK5QYAABiFcgMAAIxCuQEAAEah3AAAAKNQbgAAgFEoNwAAwCiUGwAAYBTKDQAAMArlBgAAGIVyAwAAjEK5AQAARqHcAAAAo1BuAACAUSg3AADAKJQbAABgFMoNAAAwCuUGAAAYhXIDAACMQrkBAABGodwAAACjUG4AAIBRKDcAAMAolBsAAGAUyg0AADAK5QYAABiFcgMAAIxCuQEAAEah3AAAAKN42B0AAFD9zp49q8zMTLtjXLaMjIxiv9ZmYWFhcjqddscwAuUGAOqgzMxMDR8+3O4YlWbKlCl2R7hs8+bNU0REhN0xjEC5AYA6KCwsTPPmzbM7Bn4nLCzM7gjGoNwAQB3kdDoZJYCxeKAYAAAYhXIDAACMQrkBAABGodwAAACjUG4AAIBRKDcAAMAolBsAAGAUyg0AADAK5QYAABiFcgMAAIxCuQEAAEah3AAAAKNQbgAAgFFqRLmZO3eumjdvLqfTqejoaG3YsOFP9y8oKNCECRMUHh4uLy8vtWjRQu+88041pQUAADWZh90BFi9erDFjxmju3Lnq0qWL3nzzTcXExGjPnj0KCwu75DH33Xefjh49qvnz56tly5Y6duyYCgsLqzk5AACoiWwvNzNmzNDQoUM1bNgwSdKsWbO0atUqJSYmatq0aSX2X7lypdatW6dDhw4pICBAktSsWbPqjAwAAGowW6elzp07p9TUVPXs2bPY+p49e+rrr7++5DGfffaZOnTooJdfflkhISGKiIjQ448/rjNnzpR6nYKCAuXm5hZ7AQAAM9k6cnP8+HFduHBBgYGBxdYHBgbqyJEjlzzm0KFD2rhxo5xOpz799FMdP35cI0eO1C+//FLqczfTpk3T5MmTKz0/AACoeWrEA8UOh6PYsmVZJdZdVFRUJIfDoUWLFumGG25Qnz59NGPGDCUlJZU6epOQkKCcnBzXKysrq9LvAQAA1Ay2jtw0btxY7u7uJUZpjh07VmI056KgoCCFhITIz8/PtS4yMlKWZenHH39Uq1atShzj5eUlLy+vyg0PAABqJFtHbjw9PRUdHa3k5ORi65OTk9W5c+dLHtOlSxf99NNPOnXqlGvdvn375ObmpqZNm1ZpXgAAUPPZPi0VHx+vt99+W++8847S0tI0duxYZWZmasSIEZJ+m1KKjY117T9gwAA1atRIDz30kPbs2aP169dr/PjxGjJkiLy9ve26DQAAUEPY/lbw+++/XydOnNBzzz2n7OxstW3bVsuXL1d4eLgkKTs7W5mZma79GzRooOTkZI0ePVodOnRQo0aNdN999+mFF16w6xYAAEAN4rAsy7I7RHXLzc2Vn5+fcnJy5Ovra3ccVLF9+/Zp+PDhmjdvniIiIuyOAwCooLL+/W37tBQAAEBlotwAAACj2P7MDWqus2fPFnveqbbKyMgo9mttFhYWJqfTaXcMAKjRKDcoVWZmpoYPH253jEozZcoUuyNcNp4bAoC/RrlBqcLCwjRv3jy7Y+B3wsLC7I4AADUe5QalcjqdjBIAAGodHigGAABGodwAAACjUG4AAIBRKDcAAMAolBsAAGAUyg0AADAK5QYAABiFcgMAAIxCuQEAAEah3AAAAKNQbgAAgFEoNwAAwCiUGwAAYJQ6+anglmVJknJzc21OAgAAyuri39sX/x4vTZ0sN3l5eZKk0NBQm5MAAIDyysvLk5+fX6nbHdZf1R8DFRUV6aefflLDhg3lcDjsjoMqlpubq9DQUGVlZcnX19fuOAAqEd/fdYtlWcrLy1NwcLDc3Ep/sqZOjty4ubmpadOmdsdANfP19eUPP8BQfH/XHX82YnMRDxQDAACjUG4AAIBRKDcwnpeXlyZOnCgvLy+7owCoZHx/41Lq5APFAADAXIzcAAAAo1BuAACAUSg3MFZSUpL8/f3tjgEAqGaUG9R4gwcPlsPhKPE6cOCA3dEAVJJLfY///jV48GC7I6IWqZM/xA+1T+/evbVgwYJi65o0aWJTGgCVLTs72/Xfixcv1rPPPqu9e/e61nl7exfb//z586pXr1615UPtwsgNagUvLy9dddVVxV6vvvqqrr32Wvn4+Cg0NFQjR47UqVOnSj3Ht99+q+7du6thw4by9fVVdHS0UlJSXNu//vpr/f3vf5e3t7dCQ0MVFxen/Pz86rg9oM77/fe2n5+fHA6Ha/ns2bPy9/fXRx99pG7dusnpdOr999/XpEmT1K5du2LnmTVrlpo1a1Zs3YIFCxQZGSmn06mrr75ac+fOrb4bgy0oN6i13Nzc9Nprr+n//u//9O677+qrr77SE088Uer+AwcOVNOmTbVt2zalpqbqqaeecv3Lb9euXerVq5fuuusufffdd1q8eLE2btyoRx99tLpuB8BfePLJJxUXF6e0tDT16tWrTMe89dZbmjBhgqZMmaK0tDRNnTpVzzzzjN59990qTgs7MS2FWuGLL75QgwYNXMsxMTH6+OOPXcvNmzfX888/r3/+85+l/qssMzNT48eP19VXXy1JatWqlWvbv/71Lw0YMEBjxoxxbXvttdfUtWtXJSYmyul0VsFdASiPMWPG6K677irXMc8//7ymT5/uOq558+bas2eP3nzzTQ0aNKgqYqIGoNygVujevbsSExNdyz4+PlqzZo2mTp2qPXv2KDc3V4WFhTp79qzy8/Pl4+NT4hzx8fEaNmyY3nvvPfXo0UP33nuvWrRoIUlKTU3VgQMHtGjRItf+lmWpqKhI6enpioyMrPqbBPCnOnToUK79f/75Z2VlZWno0KF6+OGHXesLCwvL9OGLqL0oN6gVfHx81LJlS9dyRkaG+vTpoxEjRuj5559XQECANm7cqKFDh+r8+fOXPMekSZM0YMAAffnll1qxYoUmTpyoDz/8UHfeeaeKior0yCOPKC4ursRxYWFhVXZfAMruj/9ocXNz0x9/yP7vv/+Liook/TY1deONNxbbz93dvYpSoiag3KBWSklJUWFhoaZPny43t98eHfvoo4/+8riIiAhFRERo7NixeuCBB7RgwQLdeeeduv7667V79+5iBQpAzdakSRMdOXJElmXJ4XBIknbu3OnaHhgYqJCQEB06dEgDBw60KSXsQLlBrdSiRQsVFhbq9ddfV79+/bRp0ya98cYbpe5/5swZjR8/Xvfcc4+aN2+uH3/8Udu2bdPdd98t6bcHFTt27KhRo0bp4Ycflo+Pj9LS0pScnKzXX3+9um4LQDl069ZNP//8s15++WXdc889WrlypVasWCFfX1/XPpMmTVJcXJx8fX0VExOjgoICpaSk6OTJk4qPj7cxPaoS75ZCrdSuXTvNmDFDL730ktq2batFixZp2rRppe7v7u6uEydOKDY2VhEREbrvvvsUExOjyZMnS5Kuu+46rVu3Tvv379fNN9+s9u3b65lnnlFQUFB13RKAcoqMjNTcuXM1Z84cRUVFaevWrXr88ceL7TNs2DC9/fbbSkpK0rXXXquuXbsqKSlJzZs3tyk1qgOfCg4AAIzCyA0AADAK5QYAABiFcgMAAIxCuQEAAEah3AAAAKNQbgAAgFEoNwAAwCiUGwAAYBTKDVAL/fDDD3I4HMU+R+eP1q5dK4fDoV9//bVM51y2bJlatmwpd3d3jRkzplJyVlS3bt1sz1AeDodDy5Ytcy1///336tixo5xOp9q1a1cl1xw8eLD+8Y9/VMm5gdqOz5YCIEl65JFH9NBDDykuLk4NGzaslmuuXbtW3bt318mTJ+Xv7+9av3TpUtWrV69aMlSFiRMnysfHR3v37lWDBg3sjgPUOZQbADp16pSOHTumXr16KTg42O44CggIsDvCZTl48KBuv/12hYeH2x0FqJOYlgJqgJUrV+qmm26Sv7+/GjVqpL59++rgwYOu7Vu3blX79u3ldDrVoUMH7dixo8Q5li9froiICHl7e6t79+764YcfynTttWvXukZqbrnlFjkcDq1du1aTJk0qMaUya9YsNWvWzLV8cWrklVdeUVBQkBo1aqRRo0bp/Pnzrn0KCgr0xBNPKDQ0VF5eXmrVqpXmz5+vH374Qd27d5ckXXHFFXI4HBo8eLCkktNSJ0+eVGxsrK644grVr19fMTEx2r9/v2t7UlKS/P39tWrVKkVGRqpBgwbq3bu3srOzy/w1uOGGG+Tj4yN/f3916dJFGRkZru2ff/65oqOj5XQ69be//U2TJ09WYWHhJc/lcDiUmpqq5557Tg6HQ5MmTfrL6x8+fFj333+/rrjiCjVq1Ej9+/cv9vt34cIFxcfHu/7/eOKJJ/THjwXMy8vTwIED5ePjo6CgIM2cObPE1/HcuXN64oknFBISIh8fH914441au3ata3tGRob69eunK664Qj4+Prrmmmu0fPnyMn0NgZqEcgPUAPn5+YqPj9e2bdv0v//7v3Jzc9Odd96poqIi5efnq2/fvmrdurVSU1M1adKkEp98nJWVpbvuukt9+vTRzp07NWzYMD311FNlunbnzp21d+9eSdKSJUuUnZ2tzp07lzn7mjVrdPDgQa1Zs0bvvvuukpKSlJSU5NoeGxurDz/8UK+99prS0tL0xhtvqEGDBgoNDdWSJUskSXv37lV2drZeffXVS15j8ODBSklJ0WeffabNmzfLsiz16dOnWIk6ffq0XnnlFb333ntav369MjMzS3ydLqWwsFD/+Mc/1LVrV3333XfavHmzhg8fLofDIUlatWqVHnzwQcXFxWnPnj168803lZSUpClTplzyfNnZ2brmmms0btw4ZWdn/2WG06dPq3v37mrQoIHWr1+vjRs3usrZuXPnJEnTp0/XO++8o/nz52vjxo365Zdf9OmnnxY7T3x8vDZt2qTPPvtMycnJ2rBhg7Zv315sn4ceekibNm3Shx9+qO+++0733nuvevfu7SqKo0aNUkFBgdavX69du3bppZdeYloNtZMFoMY5duyYJcnatWuX9eabb1oBAQFWfn6+a3tiYqIlydqxY4dlWZaVkJBgRUZGWkVFRa59nnzySUuSdfLkyb+83smTJy1J1po1a1zrJk6caEVFRRXbb+bMmVZ4eLhredCgQVZ4eLhVWFjoWnfvvfda999/v2VZlrV3715LkpWcnHzJ665Zs+aSGbt27Wo99thjlmVZ1r59+yxJ1qZNm1zbjx8/bnl7e1sfffSRZVmWtWDBAkuSdeDAAdc+c+bMsQIDA//y3k+cOGFJstauXXvJ7TfffLM1derUYuvee+89KygoyLUsyfr0009dy1FRUdbEiRP/8tqWZVnz58+3WrduXez3rqCgwPL29rZWrVplWZZlBQUFWS+++KJr+/nz562mTZta/fv3tyzLsnJzc6169epZH3/8sWufX3/91apfv77r63jgwAHL4XBYhw8fLnb9W2+91UpISLAsy7KuvfZaa9KkSWXKDdRkPHMD1AAHDx7UM888oy1btuj48eMqKiqSJGVmZiotLU1RUVGqX7++a/9OnToVOz4tLU0dO3Z0jTZcap+qcs0118jd3d21HBQUpF27dkmSdu7cKXd3d3Xt2rXC509LS5OHh4duvPFG17pGjRqpdevWSktLc62rX7++WrRoUSzHsWPH/vL8AQEBGjx4sHr16qXbbrtNPXr00H333aegoCBJUmpqqrZt21ZspObChQs6e/asTp8+Xez3pSJSU1N14MCBEg9xnz17VgcPHlROTo6ys7OL/X56eHioQ4cOrqmpQ4cO6fz587rhhhtc+/j5+al169au5e3bt8uyLEVERBS7TkFBgRo1aiRJiouL0z//+U+tXr1aPXr00N13363rrrvusu4PsAPlBqgB+vXrp9DQUL311lsKDg5WUVGR2rZtq3PnzpV4tuJSyrJPebm5uZU47++ngS7647uaHA6Hq5x5e3tfdo7S7s2yrGJl7lI5yvp1WbBggeLi4rRy5UotXrxYTz/9tJKTk9WxY0cVFRVp8uTJuuuuu0oc53Q6y3Enl1ZUVKTo6GgtWrSoxLYmTZqU6RwX7/P3X4/fr794HXd3d6WmphYro5JcU0/Dhg1Tr1699OWXX2r16tWaNm2apk+frtGjR5frngC78cwNYLMTJ04oLS1NTz/9tG699VZFRkbq5MmTru1t2rTRt99+qzNnzrjWbdmypdg52rRpU2LdH5fLq0mTJjpy5EixvyD/7OfqXMq1116roqIirVu37pLbPT09Jf02ElKaNm3aqLCwUN98841r3YkTJ7Rv3z5FRkaWK8+fad++vRISEvT111+rbdu2+uCDDyRJ119/vfbu3auWLVuWeLm5Xf4foddff73279+vK6+8ssT5/fz85Ofnp6CgoGK/n4WFhUpNTXUtt2jRQvXq1dPWrVtd63Jzc4s9dN2+fXtduHBBx44dK3Gdq666yrVfaGioRowYoaVLl2rcuHF66623LvsegepGuQFsdvEdMvPmzdOBAwf01VdfKT4+3rV9wIABcnNz09ChQ7Vnzx4tX75cr7zySrFzjBgxQgcPHlR8fLz27t2rDz74oNhDvRXRrVs3/fzzz3r55Zd18OBBzZkzRytWrCjXOZo1a6ZBgwZpyJAhWrZsmdLT07V27Vp99NFHkqTw8HA5HA598cUX+vnnn3Xq1KkS52jVqpX69++vhx9+WBs3btS3336rBx98UCEhIerfv/9l3aMkpaenKyEhQZs3b1ZGRoZWr15drDg9++yzWrhwoSZNmqTdu3crLS3NNbpTGQYOHKjGjRurf//+2rBhg9LT07Vu3To99thj+vHHHyVJjz32mF588UV9+umn+v777zVy5MhiP5yxYcOGGjRokMaPH681a9Zo9+7dGjJkiNzc3FyjORERERo4cKBiY2O1dOlSpaena9u2bXrppZdc74gaM2aMVq1apfT0dG3fvl1fffVVpRZIoLpQbgCbubm56cMPP1Rqaqratm2rsWPH6l//+pdre4MGDfT5559rz549at++vSZMmKCXXnqp2DnCwsK0ZMkSff7554qKitIbb7yhqVOnXlauyMhIzZ07V3PmzFFUVJS2bt1apncf/VFiYqLuuecejRw5UldffbUefvhh5efnS5JCQkI0efJkPfXUUwoMDNSjjz56yXMsWLBA0dHR6tu3rzp16iTLsrR8+fJK+UF/9evX1/fff6+7775bERERGj58uB599FE98sgjkqRevXrpiy++UHJysv7nf/5HHTt21IwZMyrtZ9jUr19f69evV1hYmO666y5FRkZqyJAhOnPmjHx9fSVJ48aNU2xsrAYPHqxOnTqpYcOGuvPOO4udZ8aMGerUqZP69u2rHj16qEuXLoqMjCw2dbZgwQLFxsZq3Lhxat26te644w598803Cg0NlfTbCNqoUaMUGRmp3r17q3Xr1po7d26l3CdQnRxWVUzWAwBslZ+fr5CQEE2fPl1Dhw61Ow5QrXigGAAMsGPHDn3//fe64YYblJOTo+eee06SKmXqDqhtmJYC6oCYmBg1aNDgkq/Lnb6qDUq79wYNGmjDhg1Veu2pU6eWeu2YmJhKvdYrr7yiqKgo9ejRQ/n5+dqwYYMaN25cqdcAagOmpYA64PDhw8XebfV7AQEBtf6znP7KgQMHSt0WEhJSKW9ZL80vv/yiX3755ZLbvL29FRISUmXXBuoqyg0AADAK01IAAMAolBsAAGAUyg0AADAK5QYAABiFcgMAAIxCuQEAAEah3AAAAKNQbgAAgFH+P1UJS4f4q+RHAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure() \n",
    "sbn.boxplot(x='add_function_self_edges', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure() \n",
    "sbn.boxplot(x='dropout', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure() \n",
    "sbn.boxplot(x='weight_decay', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure() \n",
    "sbn.boxplot(x='lr', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure() \n",
    "sbn.boxplot(x='layers', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure() \n",
    "sbn.regplot(x='channels', y='best_loss', data=res_gsnn)\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6x8XFKS4urtrbv/TSSwoPD9fs2bMlSZ06dVJmZqb+8Y9/EDcAAECShxcU79mzRxkZGe7lefPmqXv37oqPj9ePP/7oteF+a+vWrRo0aFCFdYMHD1ZmZqbOnDlT5X6lpaUqLCyscAMAAGbyKG4mT57sDoSdO3cqKSlJQ4YM0cGDB5WUlOTVAX/t6NGjlX53TGhoqMrKynT8+PEq95sxY4YcDof75nQ6a21GAABgLY/iJicnR507d5YkvfPOOxo6dKimT5+u+fPna82aNV4d8Ld+eyrsl18UeL5TZMnJySooKHDf8vLyanVGAABgHY9+Q3FAQIB++uknSdLHH3+shIQESVJISEitnvK55JJLdPTo0QrrvvvuOzVq1EgtWrSocr/AwEAFBgbW2lwAAMB3eBQ3V199tZKSkhQbG6vt27dr+fLlkqS9e/eqXbt2Xh3w13r16qUPPvigwrp169apZ8+eaty4ca09LwAAqD88ipvU1FSNHz9eK1asUFpamtq2bStJWrNmja6//vpqP05xcbH279/vXs7JydGOHTsUEhKi8PBwJScn68iRI+7fejxu3DilpqYqKSlJd999t7Zu3apXX31Vy5Yt8+RlAIDH/E7xxbjAr/nSe8KjuAkPD9eqVasqrZ81a1aNHiczM1P9+/d3L/9yMfKdd96p9PR05efnKzc3131/ZGSkVq9erUmTJmnevHkKCwvT3Llz+Rg4gDrjcDjUOCBQOrjR6lEAn9M4IFAOh8PqMTz/VvADBw5o0aJFOnDggObMmaPWrVtr7dq1cjqd+sMf/lCtx+jXr995vzk8PT290rq+ffvqyy+/9HRsALggoaGheuP1JSoo8J2fUhuyQ4cOKSUlRVOmTOGLmn2Aw+Go9KlmK3gUNxs3blRcXJxiY2O1adMmpaSkqHXr1vrqq6+0cOFCrVixwttzAoDPCA0N9Ym/wPH/RUREKDo62uox4CM8+ij4I488oqefflrr169XQECAe33//v21detWrw0HAABQUx7Fzc6dO3XLLbdUWt+qVSudOHHigocCAADwlEdxExwcrPz8/Errs7Oz3Z+cAgAAsIJHcRMfH6+HH35YR48elc1mU3l5uTIyMvTggw+6f6EfAACAFTyKm5SUFIWHh6tt27YqLi5W586ddc0116h379569NFHvT0jAABAtXn0aanGjRtr6dKleuqpp5SZmSmbzaYePXooKirK2/MBAADUiMe/5+bVV1/VrFmztG/fPklSx44dNXHiRI0ZM8ZrwwEAANSUR3EzdepUzZo1SxMmTFCvXr0kSVu3btWkSZP0zTff6Omnn/bqkAAAANXlUdykpaXplVde0YgRI9zrbrrpJl1xxRWaMGECcQMAACzj0QXFZ8+eVc+ePSutj4mJUVlZ2QUPBQAA4CmP4uavf/2r0tLSKq1fsGCB7rjjjgseCgAAwFPVPi31yzd2S5LNZtPChQu1bt06XXXVVZKkbdu2KS8vj99zAwAALFXtuMnOzq6wHBMTI+nnbweXfv7qhVatWmnXrl1eHA8AAKBmqh03GzZsqM05AAAAvMKja24AAAB8FXEDAACMQtwAAACjEDcAAMAoxA0AADAKcQMAAIxC3AAAAKMQNwAAwCjEDQAAMApxAwAAjELcAAAAoxA3AADAKMQNAAAwCnEDAACMQtwAAACjEDcAAMAoxA0AADAKcQMAAIxC3AAAAKMQNwAAwCjEDQAAMApxAwAAjELcAAAAoxA3AADAKMQNAAAwCnEDAACMQtwAAACjEDcAAMAoxA0AADAKcQMAAIxC3AAAAKMQNwAAwCjEDQAAMApxAwAAjELcAAAAoxA3AADAKMQNAAAwCnEDAACMQtwAAACjEDcAAMAoxA0AADAKcQMAAIxC3AAAAKMQNwAAwCjEDQAAMApxAwAAjELcAAAAo/hE3MyfP1+RkZGy2+2KiYnRZ599dt7tly5dqm7duumiiy5SmzZtdNddd+nEiRN1NC0AAPBllsfN8uXLNXHiRE2ZMkXZ2dm65pprFBcXp9zc3HNuv3nzZiUkJGj06NHatWuX3n77bX3xxRcaM2ZMHU8OAAB8keVx88ILL2j06NEaM2aMOnXqpNmzZ8vpdCotLe2c22/btk3t27dXYmKiIiMjdfXVV+uee+5RZmZmlc9RWlqqwsLCCjcAAGAmS+Pm9OnTysrK0qBBgyqsHzRokLZs2XLOfXr37q3Dhw9r9erVcrlcOnbsmFasWKEbbrihyueZMWOGHA6H++Z0Or36OgAAgO+wNG6OHz+us2fPKjQ0tML60NBQHT169Jz79O7dW0uXLtXtt9+ugIAAXXLJJQoODtaLL75Y5fMkJyeroKDAfcvLy/Pq6wAAAL7D8tNSkmSz2Sosu1yuSut+sXv3biUmJuqxxx5TVlaW1q5dq5ycHI0bN67Kxw8MDFRQUFCFGwAAMFMjK5+8ZcuW8vf3r3SU5rvvvqt0NOcXM2bMUGxsrCZPnixJuuKKK9S0aVNdc801evrpp9WmTZtanxsAAPguS4/cBAQEKCYmRuvXr6+wfv369erdu/c59/npp5/k51dxbH9/f0k/H/EBAAANm+WnpZKSkrRw4UK99tpr2rNnjyZNmqTc3Fz3aabk5GQlJCS4tx86dKjeffddpaWl6eDBg8rIyFBiYqL++Mc/KiwszKqXAQAAfISlp6Uk6fbbb9eJEyf05JNPKj8/X126dNHq1asVEREhScrPz6/wO29GjhypoqIipaam6oEHHlBwcLCuvfZaPfvss1a9BAAA4EMsjxtJGj9+vMaPH3/O+9LT0yutmzBhgiZMmFDLUwEAgPrI8tNSAAAA3kTcAAAAoxA3AADAKMQNAAAwCnEDAACM4hOfloJvOnXqVIWP4ddXhw4dqvDf+iw8PFx2u93qMQDApxE3qFJubq7Gjh1r9Rhek5KSYvUIF2zBggWKjo62egwA8GnEDaoUHh6uBQsWWD0GfiU8PNzqEQDA5xE3qJLdbucoAQCg3uGCYgAAYBTiBgAAGIW4AQAARiFuAACAUYgbAABgFOIGAAAYhbgBAABGIW4AAIBRiBsAAGAU4gYAABiFuAEAAEYhbgAAgFGIGwAAYBTiBgAAGIW4AQAARiFuAACAUYgbAABgFOIGAAAYhbgBAABGIW4AAIBRiBsAAGAU4gYAABiFuAEAAEYhbgAAgFGIGwAAYBTiBgAAGIW4AQAARiFuAACAUYgbAABgFOIGAAAYhbgBAABGIW4AAIBRiBsAAGAU4gYAABiFuAEAAEYhbgAAgFGIGwAAYBTiBgAAGIW4AQAARiFuAACAUYgbAABgFOIGAAAYhbgBAABGIW4AAIBRiBsAAGAU4gYAABiFuAEAAEYhbgAAgFGIGwAAYBTiBgAAGIW4AQAARiFuAACAUYgbAABgFJ+Im/nz5ysyMlJ2u10xMTH67LPPzrt9aWmppkyZooiICAUGBqpDhw567bXX6mhaAADgyxpZPcDy5cs1ceJEzZ8/X7GxsXr55ZcVFxen3bt3Kzw8/Jz7DB8+XMeOHdOrr76qqKgofffddyorK6vjyQEAgC+yPG5eeOEFjR49WmPGjJEkzZ49Wx999JHS0tI0Y8aMStuvXbtWGzdu1MGDBxUSEiJJat++/Xmfo7S0VKWlpe7lwsJC770AAADgUyw9LXX69GllZWVp0KBBFdYPGjRIW7ZsOec+//znP9WzZ08999xzatu2raKjo/Xggw/q5MmTVT7PjBkz5HA43Den0+nV1wEAAHyHpUdujh8/rrNnzyo0NLTC+tDQUB09evSc+xw8eFCbN2+W3W7Xe++9p+PHj2v8+PH64YcfqrzuJjk5WUlJSe7lwsJCAgcAAENZflpKkmw2W4Vll8tVad0vysvLZbPZtHTpUjkcDkk/n9oaNmyY5s2bpyZNmlTaJzAwUIGBgd4fHAAA+BxLT0u1bNlS/v7+lY7SfPfdd5WO5vyiTZs2atu2rTtsJKlTp05yuVw6fPhwrc4LAAB8n6VxExAQoJiYGK1fv77C+vXr16t3797n3Cc2NlbffvutiouL3ev27t0rPz8/tWvXrlbnBQAAvs/y33OTlJSkhQsX6rXXXtOePXs0adIk5ebmaty4cZJ+vl4mISHBvX18fLxatGihu+66S7t379amTZs0efJkjRo16pynpAAAQMNi+TU3t99+u06cOKEnn3xS+fn56tKli1avXq2IiAhJUn5+vnJzc93bN2vWTOvXr9eECRPUs2dPtWjRQsOHD9fTTz9t1UsAAAA+xOZyuVxWD1HXCgsL5XA4VFBQoKCgIKvHAQB4aO/evRo7dqwWLFig6Ohoq8dBLavuv9+Wn5YCAADwJstPSwEA6t6pU6cqnPKvrw4dOlThv/VZeHi47Ha71WMYgbgBgAYoNzdXY8eOtXoMr0lJSbF6hAvGqTXvIW4AoAEKDw/XggULrB4Dv1LVl0Wj5ogbAGiA7HY7RwlgLC4oBgAARiFuAACAUYgbAABgFOIGAAAYhbgBAABGIW4AAIBRiBsAAGAU4gYAABiFuAEAAEYhbgAAgFGIGwAAYBTiBgAAGIW4AQAARmmQ3wrucrkkSYWFhRZPAgAAquuXf7d/+Xe8Kg0yboqKiiRJTqfT4kkAAEBNFRUVyeFwVHm/zfV7+WOg8vJyffvtt2revLlsNpvV46CWFRYWyul0Ki8vT0FBQVaPA8CLeH83LC6XS0VFRQoLC5OfX9VX1jTIIzd+fn5q166d1WOgjgUFBfGXH2Ao3t8Nx/mO2PyCC4oBAIBRiBsAAGAU4gbGCwwM1OOPP67AwECrRwHgZby/cS4N8oJiAABgLo7cAAAAoxA3AADAKMQNAAAwCnEDY6Wnpys4ONjqMQAAdYy4gc8bOXKkbDZbpdv+/futHg2Al5zrPf7r28iRI60eEfVIg/wNxah/rr/+ei1atKjCulatWlk0DQBvy8/Pd/95+fLleuyxx/Tf//7Xva5JkyYVtj9z5owaN25cZ/OhfuHIDeqFwMBAXXLJJRVuc+bMUdeuXdW0aVM5nU6NHz9excXFVT7Gv//9b/Xv31/NmzdXUFCQYmJilJmZ6b5/y5Yt6tOnj5o0aSKn06nExESVlJTUxcsDGrxfv7cdDodsNpt7+dSpUwoODtZbb72lfv36yW6364033tC0adPUvXv3Co8ze/ZstW/fvsK6RYsWqVOnTrLb7br88ss1f/78unthsARxg3rLz89Pc+fO1ddff63Fixfrk08+0UMPPVTl9nfccYfatWunL774QllZWXrkkUfcP/nt3LlTgwcP1q233qqvvvpKy5cv1+bNm3XffffV1csB8DsefvhhJSYmas+ePRo8eHC19nnllVc0ZcoUpaSkaM+ePZo+fbqmTp2qxYsX1/K0sBKnpVAvrFq1Ss2aNXMvx8XF6e2333YvR0ZG6qmnntLf//73Kn8qy83N1eTJk3X55ZdLkjp27Oi+7/nnn1d8fLwmTpzovm/u3Lnq27ev0tLSZLfba+FVAaiJiRMn6tZbb63RPk899ZRmzpzp3i8yMlK7d+/Wyy+/rDvvvLM2xoQPIG5QL/Tv319paWnu5aZNm2rDhg2aPn26du/ercLCQpWVlenUqVMqKSlR06ZNKz1GUlKSxowZo9dff10DBgzQn//8Z3Xo0EGSlJWVpf3792vp0qXu7V0ul8rLy5WTk6NOnTrV/osEcF49e/as0fbff/+98vLyNHr0aN19993u9WVlZdX6ZmnUX8QN6oWmTZsqKirKvXzo0CENGTJE48aN01NPPaWQkBBt3rxZo0eP1pkzZ875GNOmTVN8fLw+/PBDrVmzRo8//rjefPNN3XLLLSovL9c999yjxMTESvuFh4fX2usCUH2//aHFz89Pv/0GoV+//8vLyyX9fGrq//7v/yps5+/vX0tTwhcQN6iXMjMzVVZWppkzZ8rP7+dLx956663f3S86OlrR0dGaNGmSRowYoUWLFumWW27RlVdeqV27dlUIKAC+rVWrVjp69KhcLpdsNpskaceOHe77Q0ND1bZtWx08eFB33HGHRVPCCsQN6qUOHTqorKxML774ooYOHaqMjAy99NJLVW5/8uRJTZ48WcOGDVNkZKQOHz6sL774Qrfddpukny9UvOqqq3Tvvffq7rvvVtOmTbVnzx6tX79eL774Yl29LAA10K9fP33//fd67rnnNGzYMK1du1Zr1qxRUFCQe5tp06YpMTFRQUFBiouLU2lpqTIzM/Xjjz8qKSnJwulRm/i0FOql7t2764UXXtCzzz6rLl26aOnSpZoxY0aV2/v7++vEiRNKSEhQdHS0hg8frri4OD3xxBOSpCuuuEIbN27Uvn37dM0116hHjx6aOnWq2rRpU1cvCUANderUSfPnz9e8efPUrVs3bd++XQ8++GCFbcaMGaOFCxcqPT1dXbt2Vd++fZWenq7IyEiLpkZdsLl+e8ISAACgHuPIDQAAMApxAwAAjELcAAAAoxA3AADAKMQNAAAwCnEDAACMQtwAAACjEDcAAMAoxA2AemnkyJH605/+dN5t+vXrp4kTJ3r1eadNm6bu3bt79TEBeBffLQWgXpozZ06lb4QGAIm4AWCR06dPKyAgwOP9HQ6HF6cBYBJOSwGoE/369dN9992npKQktWzZUgMHDtTu3bs1ZMgQNWvWTKGhofrb3/6m48ePu/dZsWKFunbtqiZNmqhFixYaMGCASkpKJFU+LVVSUqKEhAQ1a9ZMbdq00cyZMyvNYLPZtHLlygrrgoODlZ6e7l5++OGHFR0drYsuukiXXnqppk6dqjNnznj1/wWA2kXcAKgzixcvVqNGjZSRkaFnnnlGffv2Vffu3ZWZmam1a9fq2LFjGj58uCQpPz9fI0aM0KhRo7Rnzx59+umnuvXWW6s8FTV58mRt2LBB7733ntatW6dPP/1UWVlZNZ6xefPmSk9P1+7duzVnzhy98sormjVr1gW9bgB1i9NSAOpMVFSUnnvuOUnSY489piuvvFLTp0933//aa6/J6XRq7969Ki4uVllZmW699VZFRERIkrp27XrOxy0uLtarr76qJUuWaODAgZJ+Dql27drVeMZHH33U/ef27dvrgQce0PLly/XQQw/V+LEAWIO4AVBnevbs6f5zVlaWNmzYoGbNmlXa7sCBAxo0aJCuu+46de3aVYMHD9agQYM0bNgwXXzxxefc/vTp0+rVq5d7XUhIiC677LIaz7hixQrNnj1b+/fvdwdWUFBQjR8HgHU4LQWgzjRt2tT95/Lycg0dOlQ7duyocNu3b5/69Okjf39/rV+/XmvWrFHnzp314osv6rLLLlNOTk6lx63up6ZsNlulbX99Pc22bdv0l7/8RXFxcVq1apWys7M1ZcoUnT592sNXDMAKxA0AS1x55ZXatWuX2rdvr6ioqAq3XyLIZrMpNjZWTzzxhLKzsxUQEKD33nuv0mNFRUWpcePG2rZtm3vdjz/+qL1791bYrlWrVsrPz3cv79u3Tz/99JN7OSMjQxEREZoyZYp69uypjh076tChQ95+6QBqGXEDwBL33nuvfvjhB40YMULbt2/XwYMHtW7dOo0aNUpnz57V559/runTpyszM1O5ubl699139f3336tTp06VHqtZs2YaPXq0Jk+erH/961/6+uuvNXLkSPn5Vfwr7tprr1Vqaqq+/PJLZWZmaty4cWrcuLH7/qioKOXm5urNN9/UgQMHNHfu3HPGFADfRtwAsERYWJgyMjJ09uxZDR48WF26dNH9998vh8MhPz8/BQUFadOmTRoyZIiio6P16KOPaubMmYqLizvn4z3//PPq06ePbrrpJg0YMEBXX321YmJiKmwzc+ZMOZ1O9enTR/Hx8XrwwQd10UUXue+/+eabNWnSJN13333q3r27tmzZoqlTp9bq/wcA3mdz8Ss+AQCAQThyAwAAjELcAAAAoxA3AADAKMQNAAAwCnEDAACMQtwAAACjEDcAAMAoxA0AADAKcQMAAIxC3AAAAKMQNwAAwCj/D135k9eg52hpAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure() \n",
    "sbn.boxplot(x='residual', y='best_loss', data=res_gsnn[lambda x: x.best_loss < 1.5])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "gsnn-mds",
   "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": "3.12.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}