plots.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import jax\n",
    "import jax.numpy as jnp\n",
    "import optax\n",
    "import matplotlib.pyplot as plt\n",
    "import wandb\n",
    "from pathlib import Path\n",
    "import orbax.checkpoint\n",
    "from flax.training import train_state, orbax_utils\n",
    "from sklearn.metrics import roc_auc_score, roc_curve, auc\n",
    "import models\n",
    "import data_utils\n",
    "from tqdm import tqdm\n",
    "\n",
    "api = wandb.Api()\n",
    "# Project is specified by <entity/project-name>\n",
    "runs = api.runs(\"mingfong/fullsim\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "wze56p0x fullsim_only5 8M\n",
      "best_epoch = 173, best_val_auc = 0.9432830776593978\n",
      "tz1efo1f fullsim_only3 8M\n",
      "best_epoch = 199, best_val_auc = 0.9439529154819333\n",
      "jesvboir fullsim_only4 8M\n",
      "best_epoch = 130, best_val_auc = 0.9436246840614746\n",
      "1gug1b8l fullsim_only1 8M\n",
      "best_epoch = 158, best_val_auc = 0.943757672995876\n",
      "eudt061a fullsim_only2 8M\n",
      "best_epoch = 132, best_val_auc = 0.9433773374995754\n",
      "12jjhepj fullsim_only5 4M\n",
      "best_epoch = 157, best_val_auc = 0.9381191491068142\n",
      "y7reyql2 fullsim_only4 4M\n",
      "best_epoch = 160, best_val_auc = 0.9379160047643385\n",
      "yp8wtemj fullsim_only2 4M\n",
      "best_epoch = 136, best_val_auc = 0.9378456373230826\n",
      "lb2bwgvb fullsim_only3 4M\n",
      "best_epoch = 163, best_val_auc = 0.9386122932315726\n",
      "78gic51i fullsim_only1 4M\n",
      "best_epoch = 159, best_val_auc = 0.9387912707744835\n",
      "j3juf5w6 fullsim_only5 2M\n",
      "best_epoch = 190, best_val_auc = 0.9318401674805372\n",
      "lgik60oy fullsim_only4 2M\n",
      "best_epoch = 188, best_val_auc = 0.9314918713801077\n",
      "j6uj0vzt fullsim_only3 2M\n",
      "best_epoch = 178, best_val_auc = 0.931609194222165\n",
      "4ruo9o21 fullsim_only2 2M\n",
      "best_epoch = 209, best_val_auc = 0.9319114575597611\n",
      "1j31rso6 fullsim_only1 2M\n",
      "best_epoch = 179, best_val_auc = 0.9316744516368466\n",
      "532gak2v fullsim_transfered5 16M\n",
      "best_epoch = 68, best_val_auc = 0.9501582559542691\n",
      "veyvse59 fullsim_transfered5 8M\n",
      "best_epoch = 63, best_val_auc = 0.9481888038216661\n",
      "b483kdg6 fullsim_transfered4 16M\n",
      "best_epoch = 101, best_val_auc = 0.9498047426749178\n",
      "f7otgiky fullsim_transfered4 8M\n",
      "best_epoch = 58, best_val_auc = 0.9479471121598622\n",
      "yhexvltv fullsim_transfered3 16M\n",
      "best_epoch = 71, best_val_auc = 0.9507560381676476\n",
      "xwb9lvdo fullsim_transfered3 8M\n",
      "best_epoch = 77, best_val_auc = 0.9486366994763806\n",
      "6rgky02g fullsim_transfered2 16M\n",
      "best_epoch = 107, best_val_auc = 0.9500468334799429\n",
      "wtq686zk fullsim_transfered2 8M\n",
      "best_epoch = 72, best_val_auc = 0.947617049137984\n",
      "4rqwunj6 fullsim_transfered1 16M\n",
      "best_epoch = 83, best_val_auc = 0.9495919002082218\n",
      "gb736s9n fullsim_transfered1 8M\n",
      "best_epoch = 63, best_val_auc = 0.947032040368811\n",
      "0ib37wsb fullsim_transfered3 2M\n",
      "best_epoch = 62, best_val_auc = 0.9427733766305828\n",
      "btda5j3c fullsim_transfered3 4M\n",
      "best_epoch = 55, best_val_auc = 0.9463612658692281\n",
      "a2ypm3lr fullsim_transfered1 4M\n",
      "best_epoch = 56, best_val_auc = 0.9443434581562347\n",
      "co3u843s fullsim_transfered1 2M\n",
      "best_epoch = 61, best_val_auc = 0.9404757406456324\n",
      "8scyomvw fullsim_transfered 4M\n",
      "best_epoch = 58, best_val_auc = 0.9456403277910471\n",
      "mwbrtifb fullsim_transfered 2M\n",
      "best_epoch = 52, best_val_auc = 0.9412384018469051\n",
      "afpv10i8 fullsim_transfered 4M\n",
      "best_epoch = 57, best_val_auc = 0.9451638296019549\n",
      "8kv2yvi0 fullsim_transfered 2M\n",
      "best_epoch = 52, best_val_auc = 0.9412384018469051\n",
      "79ka8j6l fullsim_transfered 2M\n",
      "best_epoch = 49, best_val_auc = 0.9406765137006277\n",
      "oobw6u19 fullsim_transfered 4M\n",
      "best_epoch = 67, best_val_auc = 0.9449137203174747\n",
      "25ao9xre fullsim_only5 16M\n",
      "best_epoch = 243, best_val_auc = 0.9485717508155374\n",
      "wl0uyh35 fullsim_only3 16M\n",
      "best_epoch = 208, best_val_auc = 0.9495652630124474\n",
      "ao7s8qoe fullsim_only4 16M\n",
      "best_epoch = 234, best_val_auc = 0.9490422353355144\n",
      "ulw1w4nn fullsim_only2 16M\n",
      "best_epoch = 217, best_val_auc = 0.9488360545653322\n",
      "ujrwfssb fullsim_only1 16M\n",
      "best_epoch = 177, best_val_auc = 0.9491437161051897\n"
     ]
    }
   ],
   "source": [
    "# find the epochs with best val AUC to load weights from\n",
    "runid_to_best_epoch = {}      # {runid: best epoch}\n",
    "\n",
    "# dataframe for number of epochs needed\n",
    "d_num_epochs = {\n",
    "  \"num_rows\": [],\n",
    "  \"pretrained\": [],\n",
    "  \"num_epochs\": [],\n",
    "}\n",
    "\n",
    "for run in runs:\n",
    "  # if run.config[\"seed\"] != 1:\n",
    "  #   continue\n",
    "  print(run.id, run.name)\n",
    "  hist = run.history()\n",
    "  \n",
    "  best_val_auc = 0\n",
    "  best_epoch = 0\n",
    "  for h in run.scan_history(keys=[\"epoch/epoch\", \"epoch/val_auc\"], page_size=1000000):\n",
    "    if h[\"epoch/val_auc\"] > best_val_auc:\n",
    "      best_val_auc = h[\"epoch/val_auc\"]\n",
    "      best_epoch = h[\"epoch/epoch\"]\n",
    "  runid_to_best_epoch[run.id] = best_epoch\n",
    "  print(f\"best_epoch = {best_epoch}, best_val_auc = {best_val_auc}\")\n",
    "  d_num_epochs[\"num_rows\"].append(run.config[\"train_samples\"])\n",
    "  d_num_epochs[\"pretrained\"].append(\"transfered\" in run.name)\n",
    "  d_num_epochs[\"num_epochs\"].append(best_epoch)\n",
    "num_epochs_df = pd.DataFrame(d_num_epochs)\n",
    "agg_num_epochs_df = num_epochs_df.groupby([\"num_rows\", \"pretrained\"]).agg([\"mean\", \"std\"]).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>num_rows</th>\n",
       "      <th>pretrained</th>\n",
       "      <th colspan=\"2\" halign=\"left\">num_epochs</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2048000</td>\n",
       "      <td>False</td>\n",
       "      <td>188.8</td>\n",
       "      <td>12.477981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2048000</td>\n",
       "      <td>True</td>\n",
       "      <td>55.2</td>\n",
       "      <td>5.890671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4096000</td>\n",
       "      <td>False</td>\n",
       "      <td>155.0</td>\n",
       "      <td>10.839742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4096000</td>\n",
       "      <td>True</td>\n",
       "      <td>58.6</td>\n",
       "      <td>4.827007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8192000</td>\n",
       "      <td>False</td>\n",
       "      <td>158.4</td>\n",
       "      <td>29.005172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8192000</td>\n",
       "      <td>True</td>\n",
       "      <td>66.6</td>\n",
       "      <td>7.700649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>16384000</td>\n",
       "      <td>False</td>\n",
       "      <td>215.8</td>\n",
       "      <td>25.684626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>16384000</td>\n",
       "      <td>True</td>\n",
       "      <td>86.0</td>\n",
       "      <td>17.492856</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   num_rows pretrained num_epochs           \n",
       "                             mean        std\n",
       "0   2048000      False      188.8  12.477981\n",
       "1   2048000       True       55.2   5.890671\n",
       "2   4096000      False      155.0  10.839742\n",
       "3   4096000       True       58.6   4.827007\n",
       "4   8192000      False      158.4  29.005172\n",
       "5   8192000       True       66.6   7.700649\n",
       "6  16384000      False      215.8  25.684626\n",
       "7  16384000       True       86.0  17.492856"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agg_num_epochs_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot loss curves\n",
    "fig, axes = plt.subplots(2, 2, figsize=(12, 12))\n",
    "axes = axes.flatten()\n",
    "NUM_ROWS = [2048000, 4096000, 8192000, 16384000]\n",
    "for i, num_rows in enumerate(NUM_ROWS):\n",
    "  for is_pretrained in [\"_only\", \"_transfered\"]:\n",
    "    for run in runs:\n",
    "      if run.config[\"train_samples\"] != num_rows:\n",
    "        continue\n",
    "      if run.config[\"seed\"] != 1:\n",
    "        continue\n",
    "      if is_pretrained not in run.name:\n",
    "        continue\n",
    "      hist = run.scan_history(keys=[\"epoch/epoch\", \"epoch/val_auc\"], page_size=1000000)\n",
    "      hist_df = pd.DataFrame(hist)\n",
    "      best_epoch = runid_to_best_epoch[run.id]\n",
    "      color = \"C0\" if \"_only\" in run.name else \"C1\"\n",
    "      label = \"No Pretrain\" if \"_only\" in run.name else \"Pretrain\"\n",
    "      axes[i].plot(hist_df[\"epoch/epoch\"], hist_df[\"epoch/val_auc\"], label=label, color=color)\n",
    "      axes[i].set_title(f\"N = {int(num_rows // 1e6)}M Samples\")\n",
    "      # mark the best epoch with a star\n",
    "      axes[i].scatter(best_epoch, hist_df[hist_df[\"epoch/epoch\"] == best_epoch][\"epoch/val_auc\"], marker=\"*\", color=color, s=200)\n",
    "    \n",
    "for ax in axes:\n",
    "  ax.set_xlabel(\"Epoch\")\n",
    "  ax.set_ylabel(\"Validation AUC\")\n",
    "  ax.set_ylim(0.922, 0.955)\n",
    "  ax.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inference Pipeline on TEST dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def init_train_state(rng_key, model, optimizer, batch):\n",
    "  \"\"\"Initialize training state.\"\"\"\n",
    "  params = model.init(rng_key, batch)\n",
    "  return train_state.TrainState.create(\n",
    "      apply_fn=model.apply,\n",
    "      params=params,\n",
    "      tx=optimizer)\n",
    "\n",
    "@jax.jit\n",
    "def eval_step(\n",
    "  state: train_state.TrainState,\n",
    "  batch: jnp.ndarray,\n",
    "  ):\n",
    "  \"\"\"Perform a single evaluation step.\"\"\"\n",
    "  x, y = batch\n",
    "  logits = state.apply_fn(state.params, x).squeeze()\n",
    "  loss = jnp.mean(optax.sigmoid_binary_cross_entropy(logits=logits, labels=y))\n",
    "  return loss, logits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def inference_loop(checkpoint_dir: Path, test_dataloader: data_utils.JaxDataLoader, seed: int=1):\n",
    "  \"\"\"\n",
    "  Gets inference predictions for a given checkpoint directory.\n",
    "  checkpoint_dir example: /pscratch/sd/m/mingfong/transfer-learning/checkpoints/532gak2v/\n",
    "  Output: y_true, y_pred\n",
    "  \"\"\"\n",
    "  rng = np.random.RandomState(seed)\n",
    "  rng_key = jax.random.PRNGKey(rng.randint(2**32))\n",
    "  DNN_LAYERS = [400, 400, 400, 400, 400, 1]\n",
    "  LEARNING_RATE = 0.0001\n",
    "\n",
    "  dummy_input = next(iter(test_dataloader))[0]\n",
    "  print(f\"Input shape: {dummy_input.shape}\")\n",
    "\n",
    "  model = models.MLP(features=DNN_LAYERS)\n",
    "  opt = optax.adam(LEARNING_RATE)\n",
    "  state = init_train_state(rng_key, model, opt, dummy_input)\n",
    "\n",
    "  # load checkpoint for params\n",
    "  ckpt = {\n",
    "    \"step\": 0,\n",
    "    \"state\": state,\n",
    "  }\n",
    "  orbax_checkpointer = orbax.checkpoint.PyTreeCheckpointer()\n",
    "  # save_args = orbax_utils.save_args_from_target(ckpt)\n",
    "\n",
    "  # CHECKPOINT_DIR = Path(\"/pscratch/sd/m/mingfong/transfer-learning/checkpoints/532gak2v/\")\n",
    "  raw_restored = orbax_checkpointer.restore(checkpoint_dir, item=ckpt)\n",
    "  state = raw_restored[\"state\"]\n",
    "  # start_step = raw_restored[\"step\"] + 1\n",
    "  \n",
    "  test_datagen = iter(test_dataloader)\n",
    "  test_batch_matrics = {\n",
    "    \"loss\": [],\n",
    "    \"accuracy\": [],\n",
    "    \"auc\": [],\n",
    "  }\n",
    "  logits_list = []\n",
    "  y_true_list = []\n",
    "\n",
    "  for batch_step in tqdm(range(len(test_dataloader))):\n",
    "    batch = next(test_datagen)\n",
    "    loss, logits = eval_step(state, batch)\n",
    "    test_batch_matrics[\"loss\"].append(loss)\n",
    "    test_batch_matrics[\"accuracy\"].append(jnp.mean((logits > 0) == batch[1]))\n",
    "    test_batch_matrics[\"auc\"].append(roc_auc_score(batch[1], logits))\n",
    "    logits_list.append(logits)\n",
    "    y_true_list.append(batch[1])\n",
    "    \n",
    "  y_true = np.concatenate(y_true_list)\n",
    "  y_pred = np.concatenate(logits_list)\n",
    "  print(f\"y_true: {y_true.shape}\")\n",
    "  print(f\"y_pred: {y_pred.shape}\")\n",
    "  return y_true, y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/1 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Num val samples: 2484117\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# testing data loading\n",
    "BATCH_SIZE = 1024\n",
    "MAX_ROWS = None # None for all\n",
    "\n",
    "test_dir_preprocess = \"/pscratch/sd/m/mingfong/transfer-learning/fullsim_test_processed/\"\n",
    "test_preprocess_file_names = os.listdir(test_dir_preprocess)\n",
    "test_preprocess_filepaths = [test_dir_preprocess + name for name in test_preprocess_file_names]\n",
    "\n",
    "DatasetClassToUse = data_utils.H5DatasetLoadAll\n",
    "\n",
    "test_dataset = DatasetClassToUse(test_preprocess_filepaths, max_rows=MAX_ROWS, reverse_data=True)\n",
    "test_dataloader = data_utils.JaxDataLoader(test_dataset, batch_size=BATCH_SIZE, shuffle=False)\n",
    "print(f\"Num val samples: {len(test_dataset)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fullsim_only5 8M: wze56p0x (seed: 5)\n",
      "Downloading artifact \n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
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     "output_type": "stream",
     "text": [
      "y_true: (2484117,)\n",
      "y_pred: (2484117,)\n"
     ]
    }
   ],
   "source": [
    "CHECKPOINT_DOWNLOAD_DIR = Path(\"/pscratch/sd/m/mingfong/transfer-learning/checkpoints/\")\n",
    "output_dict = {} # {run_id: (y_true, y_pred)}\n",
    "\n",
    "for run in runs:\n",
    "  # if run.config[\"seed\"] != 1:\n",
    "  #   continue\n",
    "  print(f\"{run.name}: {run.id} (seed: {run.config['seed']})\")\n",
    "  best_epoch = (runid_to_best_epoch[run.id] // 10) - 1     # we only save checkpoints every 10 epochs\n",
    "  print(\"Downloading artifact \")\n",
    "  artifact = api.artifact(f\"mingfong/fullsim/{run.id}-checkpoint:v{best_epoch}\")\n",
    "  artifact_path = CHECKPOINT_DOWNLOAD_DIR / run.id\n",
    "  artifact.download(artifact_path)\n",
    "  print(f\"Downloaded {run.id} to {artifact_path}\")\n",
    "  output_dict[run.id] = inference_loop(artifact_path, test_dataloader, seed=run.config[\"seed\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fullsim_only5 2M: AUC: 0.92803, ACC:0.84906, transfered: False, train_samples: 2048000\n",
      "fullsim_only4 2M: AUC: 0.92793, ACC:0.84917, transfered: False, train_samples: 2048000\n",
      "fullsim_only3 2M: AUC: 0.92751, ACC:0.84869, transfered: False, train_samples: 2048000\n",
      "fullsim_only2 2M: AUC: 0.92906, ACC:0.85036, transfered: False, train_samples: 2048000\n",
      "fullsim_only1 2M: AUC: 0.92719, ACC:0.84828, transfered: False, train_samples: 2048000\n",
      "fullsim_transfered3 2M: AUC: 0.94265, ACC:0.86874, transfered: True, train_samples: 2048000\n",
      "fullsim_transfered1 2M: AUC: 0.94021, ACC:0.86573, transfered: True, train_samples: 2048000\n",
      "fullsim_transfered 2M: AUC: 0.94111, ACC:0.86680, transfered: True, train_samples: 2048000\n",
      "fullsim_transfered 2M: AUC: 0.94111, ACC:0.86680, transfered: True, train_samples: 2048000\n",
      "fullsim_transfered 2M: AUC: 0.94038, ACC:0.86593, transfered: True, train_samples: 2048000\n",
      "fullsim_only5 4M: AUC: 0.93492, ACC:0.85773, transfered: False, train_samples: 4096000\n",
      "fullsim_only4 4M: AUC: 0.93479, ACC:0.85678, transfered: False, train_samples: 4096000\n",
      "fullsim_only2 4M: AUC: 0.93410, ACC:0.85645, transfered: False, train_samples: 4096000\n",
      "fullsim_only3 4M: AUC: 0.93556, ACC:0.85853, transfered: False, train_samples: 4096000\n",
      "fullsim_only1 4M: AUC: 0.93550, ACC:0.85862, transfered: False, train_samples: 4096000\n",
      "fullsim_transfered3 4M: AUC: 0.94631, ACC:0.87284, transfered: True, train_samples: 4096000\n",
      "fullsim_transfered1 4M: AUC: 0.94429, ACC:0.87014, transfered: True, train_samples: 4096000\n",
      "fullsim_transfered 4M: AUC: 0.94549, ACC:0.87198, transfered: True, train_samples: 4096000\n",
      "fullsim_transfered 4M: AUC: 0.94507, ACC:0.87140, transfered: True, train_samples: 4096000\n",
      "fullsim_transfered 4M: AUC: 0.94493, ACC:0.87127, transfered: True, train_samples: 4096000\n",
      "fullsim_only5 8M: AUC: 0.94159, ACC:0.86657, transfered: False, train_samples: 8192000\n",
      "fullsim_only3 8M: AUC: 0.94197, ACC:0.86702, transfered: False, train_samples: 8192000\n",
      "fullsim_only4 8M: AUC: 0.93956, ACC:0.86372, transfered: False, train_samples: 8192000\n",
      "fullsim_only1 8M: AUC: 0.94056, ACC:0.86515, transfered: False, train_samples: 8192000\n",
      "fullsim_only2 8M: AUC: 0.93924, ACC:0.86330, transfered: False, train_samples: 8192000\n",
      "fullsim_transfered5 8M: AUC: 0.94807, ACC:0.87539, transfered: True, train_samples: 8192000\n",
      "fullsim_transfered4 8M: AUC: 0.94781, ACC:0.87476, transfered: True, train_samples: 8192000\n",
      "fullsim_transfered3 8M: AUC: 0.94858, ACC:0.87608, transfered: True, train_samples: 8192000\n",
      "fullsim_transfered2 8M: AUC: 0.94755, ACC:0.87479, transfered: True, train_samples: 8192000\n",
      "fullsim_transfered1 8M: AUC: 0.94697, ACC:0.87329, transfered: True, train_samples: 8192000\n",
      "fullsim_transfered5 16M: AUC: 0.94998, ACC:0.87785, transfered: True, train_samples: 16384000\n",
      "fullsim_transfered4 16M: AUC: 0.94963, ACC:0.87760, transfered: True, train_samples: 16384000\n",
      "fullsim_transfered3 16M: AUC: 0.95067, ACC:0.87909, transfered: True, train_samples: 16384000\n",
      "fullsim_transfered2 16M: AUC: 0.94992, ACC:0.87800, transfered: True, train_samples: 16384000\n",
      "fullsim_transfered1 16M: AUC: 0.94957, ACC:0.87760, transfered: True, train_samples: 16384000\n",
      "fullsim_only5 16M: AUC: 0.94847, ACC:0.87595, transfered: False, train_samples: 16384000\n",
      "fullsim_only3 16M: AUC: 0.94954, ACC:0.87759, transfered: False, train_samples: 16384000\n",
      "fullsim_only4 16M: AUC: 0.94898, ACC:0.87704, transfered: False, train_samples: 16384000\n",
      "fullsim_only2 16M: AUC: 0.94868, ACC:0.87660, transfered: False, train_samples: 16384000\n",
      "fullsim_only1 16M: AUC: 0.94900, ACC:0.87672, transfered: False, train_samples: 16384000\n"
     ]
    }
   ],
   "source": [
    "# auc values for all runs\n",
    "NUM_ROWS = [2048000, 4096000, 8192000, 16384000]\n",
    "auc_dict = {\n",
    "  \"train_samples\": [],\n",
    "  \"transfered\": [],\n",
    "  \"auc\": [],\n",
    "  \"acc\": [],\n",
    "  }\n",
    "for num_rows in NUM_ROWS:\n",
    "  for run in runs:\n",
    "    if run.config[\"train_samples\"] != num_rows:\n",
    "      continue\n",
    "    \n",
    "    auc_dict[\"transfered\"].append(\"transfered\" in run.name)\n",
    "    auc_dict[\"train_samples\"].append(num_rows)\n",
    "    y_true, y_pred = output_dict[run.id]\n",
    "    fpr, tpr, thresholds = roc_curve(y_true, y_pred)\n",
    "    roc_auc = auc(fpr, tpr)\n",
    "    auc_dict[\"auc\"].append(roc_auc)\n",
    "    acc = np.mean((y_pred > 0) == y_true)\n",
    "    auc_dict[\"acc\"].append(acc)\n",
    "    print(f\"{run.name}: AUC: {roc_auc:0.5f}, ACC:{acc:0.5f}, transfered: {'transfered' in run.name}, train_samples: {num_rows}\")\n",
    "auc_df = pd.DataFrame(auc_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        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>train_samples</th>\n",
       "      <th>transfered</th>\n",
       "      <th>mean_auc</th>\n",
       "      <th>mean_acc</th>\n",
       "      <th>std_auc</th>\n",
       "      <th>std_acc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2048000</td>\n",
       "      <td>False</td>\n",
       "      <td>0.927945</td>\n",
       "      <td>0.849112</td>\n",
       "      <td>0.000711</td>\n",
       "      <td>0.000779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2048000</td>\n",
       "      <td>True</td>\n",
       "      <td>0.941093</td>\n",
       "      <td>0.866800</td>\n",
       "      <td>0.000964</td>\n",
       "      <td>0.001193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4096000</td>\n",
       "      <td>False</td>\n",
       "      <td>0.934975</td>\n",
       "      <td>0.857621</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>0.000990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4096000</td>\n",
       "      <td>True</td>\n",
       "      <td>0.945218</td>\n",
       "      <td>0.871527</td>\n",
       "      <td>0.000746</td>\n",
       "      <td>0.000990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8192000</td>\n",
       "      <td>False</td>\n",
       "      <td>0.940583</td>\n",
       "      <td>0.865153</td>\n",
       "      <td>0.001204</td>\n",
       "      <td>0.001658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8192000</td>\n",
       "      <td>True</td>\n",
       "      <td>0.947797</td>\n",
       "      <td>0.874860</td>\n",
       "      <td>0.000598</td>\n",
       "      <td>0.001031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>16384000</td>\n",
       "      <td>False</td>\n",
       "      <td>0.948934</td>\n",
       "      <td>0.876779</td>\n",
       "      <td>0.000403</td>\n",
       "      <td>0.000601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>16384000</td>\n",
       "      <td>True</td>\n",
       "      <td>0.949953</td>\n",
       "      <td>0.878030</td>\n",
       "      <td>0.000437</td>\n",
       "      <td>0.000619</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   train_samples  transfered  mean_auc  mean_acc   std_auc   std_acc\n",
       "0        2048000       False  0.927945  0.849112  0.000711  0.000779\n",
       "1        2048000        True  0.941093  0.866800  0.000964  0.001193\n",
       "2        4096000       False  0.934975  0.857621  0.000594  0.000990\n",
       "3        4096000        True  0.945218  0.871527  0.000746  0.000990\n",
       "4        8192000       False  0.940583  0.865153  0.001204  0.001658\n",
       "5        8192000        True  0.947797  0.874860  0.000598  0.001031\n",
       "6       16384000       False  0.948934  0.876779  0.000403  0.000601\n",
       "7       16384000        True  0.949953  0.878030  0.000437  0.000619"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agg_auc_df = auc_df.groupby([\"train_samples\", \"transfered\"]).mean().reset_index()\n",
    "agg_auc_df = agg_auc_df.rename(columns={\"auc\": \"mean_auc\", \"acc\": \"mean_acc\"})\n",
    "agg_auc_df[\"std_auc\"] = auc_df.groupby([\"train_samples\", \"transfered\"]).std().reset_index()[\"auc\"]\n",
    "agg_auc_df[\"std_acc\"] = auc_df.groupby([\"train_samples\", \"transfered\"]).std().reset_index()[\"acc\"]\n",
    "agg_auc_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1gug1b8l\n",
      "roc_auc = 0.9405570236843583\n",
      "78gic51i\n",
      "roc_auc = 0.9355011239942933\n",
      "1j31rso6\n",
      "roc_auc = 0.9271859198228587\n",
      "4rqwunj6\n",
      "roc_auc = 0.9495745621430791\n",
      "gb736s9n\n",
      "roc_auc = 0.9469682774034334\n",
      "a2ypm3lr\n",
      "roc_auc = 0.94429247892411\n",
      "co3u843s\n",
      "roc_auc = 0.940211816590935\n",
      "ujrwfssb\n",
      "roc_auc = 0.949004607703953\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "for run in runs:\n",
    "  if run.config[\"seed\"] != 1:\n",
    "    continue\n",
    "  if run.id not in output_dict:\n",
    "    continue\n",
    "  print(run.id)\n",
    "  y_true, y_pred = output_dict[run.id]\n",
    "  fpr, tpr, thresholds = roc_curve(y_true, y_pred)\n",
    "  roc_auc = auc(fpr, tpr)\n",
    "  print(f\"roc_auc = {roc_auc}\")\n",
    "  plt.plot(fpr, tpr, label = f'{run.name} AUC = %0.5f' % roc_auc, linewidth=1.0)\n",
    "plt.title('Receiver Operating Characteristic')\n",
    "plt.legend(loc = 'upper left')\n",
    "plt.plot([0, 1], [0, 1],'r--')\n",
    "plt.xlim([0, 0.25])\n",
    "plt.ylim([0.75, 1])\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fullsim_only1 2M: 1j31rso6 (seed: 1)\n",
      "roc_auc = 0.9271859198228587\n",
      "fullsim_transfered1 2M: co3u843s (seed: 1)\n",
      "roc_auc = 0.940211816590935\n",
      "fullsim_only1 4M: 78gic51i (seed: 1)\n",
      "roc_auc = 0.9355011239942933\n",
      "fullsim_transfered1 4M: a2ypm3lr (seed: 1)\n",
      "roc_auc = 0.94429247892411\n",
      "fullsim_only1 8M: 1gug1b8l (seed: 1)\n",
      "roc_auc = 0.9405570236843583\n",
      "fullsim_transfered1 8M: gb736s9n (seed: 1)\n",
      "roc_auc = 0.9469682774034334\n",
      "fullsim_only1 16M: ujrwfssb (seed: 1)\n",
      "roc_auc = 0.949004607703953\n",
      "fullsim_transfered1 16M: 4rqwunj6 (seed: 1)\n",
      "roc_auc = 0.9495745621430791\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2x2 plot\n",
    "fig, axes = plt.subplots(2, 2, figsize=(12, 12))\n",
    "axes = axes.flatten()\n",
    "\n",
    "# sperate plots for each num rows\n",
    "for i, num_rows in enumerate(NUM_ROWS):\n",
    "  for is_pretrained in [\"_only\", \"_transfered\"]:\n",
    "    for run in runs:\n",
    "      if run.config[\"seed\"] != 1:\n",
    "        continue\n",
    "      if run.config[\"train_samples\"] != num_rows:\n",
    "        continue\n",
    "      if is_pretrained not in run.name:\n",
    "        continue\n",
    "      print(f\"{run.name}: {run.id} (seed: {run.config['seed']})\")\n",
    "      y_true, y_pred = output_dict[run.id]\n",
    "      fpr, tpr, thresholds = roc_curve(y_true, y_pred)\n",
    "      roc_auc = auc(fpr, tpr)\n",
    "      print(f\"roc_auc = {roc_auc}\")\n",
    "      curr_label = \"Pretrain\" if \"transfered\" in run.name else \"No Pretrain\"\n",
    "      color = \"C1\" if \"transfered\" in run.name else \"C0\"\n",
    "      axes[i].plot(fpr, tpr, label = f\"{curr_label} AUC = {roc_auc:0.4f}\", linewidth=1.0, color=color)\n",
    "      axes[i].set_title(f\"N = {int(num_rows // 1e6)}M samples\")\n",
    "      axes[i].legend(loc = \"upper left\")\n",
    "      axes[i].plot([0, 1], [0, 1],'r--')\n",
    "      axes[i].set_xlim([0, 0.25])\n",
    "      axes[i].set_ylim([0.75, 1])\n",
    "      axes[i].set_ylabel('True Positive Rate')\n",
    "      axes[i].set_xlabel('False Positive Rate')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fullsim_only1 2M\n",
      "fullsim_transfered1 2M\n",
      "fullsim_only1 4M\n",
      "fullsim_transfered1 4M\n",
      "fullsim_only1 8M\n",
      "fullsim_transfered1 8M\n",
      "fullsim_only1 16M\n",
      "fullsim_transfered1 16M\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# log(1/fpr) on y\n",
    "# tpr on x axis\n",
    "EPS = 1e-6\n",
    "\n",
    "plt.figure(figsize=(8,6))\n",
    "for num_rows in NUM_ROWS:\n",
    "  for is_pretrained in [\"_only\", \"_transfered\"]:\n",
    "    for run in runs:\n",
    "      if run.config[\"seed\"] != 1:\n",
    "        continue\n",
    "      if run.id not in output_dict:\n",
    "        continue\n",
    "      if run.config[\"train_samples\"] != num_rows:\n",
    "        continue\n",
    "      if is_pretrained not in run.name:\n",
    "        continue\n",
    "      # print(run.id)\n",
    "      y_true, y_pred = output_dict[run.id]\n",
    "      fpr, tpr, thresholds = roc_curve(y_true, y_pred)\n",
    "      roc_auc = auc(fpr, tpr)\n",
    "      # print(roc_auc)\n",
    "      print(run.name)\n",
    "      label = \"Pretrain\" if \"transfered\" in run.name else \"No Pretrain\"\n",
    "      label += f\" {int(num_rows // 1e6)}M\"\n",
    "      plt.plot(tpr, (1 / (fpr + EPS)), label = label, linewidth=1.0)\n",
    "# plt.title(\"Performance\")\n",
    "plt.legend()\n",
    "plt.ylabel(r\"$\\epsilon_{bkg}^{-1}$\")\n",
    "plt.xlabel(r\"$\\epsilon_{sig}$\")\n",
    "plt.yscale(\"log\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 40/40 [00:24<00:00,  1.62it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num_rows</th>\n",
       "      <th>pretrained</th>\n",
       "      <th>1/fpr</th>\n",
       "      <th>tpr</th>\n",
       "      <th>fpr</th>\n",
       "      <th>fpr_std</th>\n",
       "      <th>1/fpr_std</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2048000</td>\n",
       "      <td>False</td>\n",
       "      <td>43.783634</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.022844</td>\n",
       "      <td>0.000348</td>\n",
       "      <td>0.679595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2048000</td>\n",
       "      <td>True</td>\n",
       "      <td>63.898556</td>\n",
       "      <td>0.499998</td>\n",
       "      <td>0.015660</td>\n",
       "      <td>0.000444</td>\n",
       "      <td>1.865710</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4096000</td>\n",
       "      <td>False</td>\n",
       "      <td>54.152045</td>\n",
       "      <td>0.500003</td>\n",
       "      <td>0.018471</td>\n",
       "      <td>0.000304</td>\n",
       "      <td>0.889780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4096000</td>\n",
       "      <td>True</td>\n",
       "      <td>73.378575</td>\n",
       "      <td>0.499996</td>\n",
       "      <td>0.013634</td>\n",
       "      <td>0.000316</td>\n",
       "      <td>1.727728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8192000</td>\n",
       "      <td>False</td>\n",
       "      <td>62.783683</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.015950</td>\n",
       "      <td>0.000665</td>\n",
       "      <td>2.644941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8192000</td>\n",
       "      <td>True</td>\n",
       "      <td>80.272780</td>\n",
       "      <td>0.499997</td>\n",
       "      <td>0.012459</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>1.070616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>16384000</td>\n",
       "      <td>False</td>\n",
       "      <td>81.214467</td>\n",
       "      <td>0.499999</td>\n",
       "      <td>0.012319</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>1.947398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>16384000</td>\n",
       "      <td>True</td>\n",
       "      <td>86.826261</td>\n",
       "      <td>0.499999</td>\n",
       "      <td>0.011521</td>\n",
       "      <td>0.000223</td>\n",
       "      <td>1.697718</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   num_rows  pretrained      1/fpr       tpr       fpr   fpr_std  1/fpr_std\n",
       "0   2048000       False  43.783634  0.500000  0.022844  0.000348   0.679595\n",
       "1   2048000        True  63.898556  0.499998  0.015660  0.000444   1.865710\n",
       "2   4096000       False  54.152045  0.500003  0.018471  0.000304   0.889780\n",
       "3   4096000        True  73.378575  0.499996  0.013634  0.000316   1.727728\n",
       "4   8192000       False  62.783683  0.500000  0.015950  0.000665   2.644941\n",
       "5   8192000        True  80.272780  0.499997  0.012459  0.000167   1.070616\n",
       "6  16384000       False  81.214467  0.499999  0.012319  0.000292   1.947398\n",
       "7  16384000        True  86.826261  0.499999  0.011521  0.000223   1.697718"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 800x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fixed_tpr = 0.5\n",
    "plt.figure(figsize=(8,6))\n",
    "\n",
    "d_50pct = {\n",
    "  \"num_rows\": [],\n",
    "  \"pretrained\": [],\n",
    "  \"1/fpr\": [],\n",
    "  \"tpr\": [],\n",
    "  \"fpr\": [],\n",
    "}\n",
    "for run in tqdm(runs):\n",
    "  if run.id not in output_dict:\n",
    "    continue\n",
    "  y_true, y_pred = output_dict[run.id]\n",
    "  fpr, tpr, thresholds = roc_curve(y_true, y_pred)\n",
    "  roc_auc = auc(fpr, tpr)\n",
    "  idx = np.argmin((tpr - fixed_tpr)**2)\n",
    "  d_50pct[\"num_rows\"].append(run.config[\"train_samples\"])\n",
    "  d_50pct[\"pretrained\"].append(\"transfered\" in run.name)\n",
    "  d_50pct[\"1/fpr\"].append(1 / (fpr[idx]))\n",
    "  d_50pct[\"tpr\"].append(tpr[idx])\n",
    "  d_50pct[\"fpr\"].append(fpr[idx])\n",
    "df_50pct = pd.DataFrame(d_50pct)\n",
    "agg_df_50pct = df_50pct.groupby([\"num_rows\", \"pretrained\"]).mean().reset_index()\n",
    "agg_df_50pct[\"fpr_std\"] = df_50pct.groupby([\"num_rows\", \"pretrained\"]).std().reset_index()[\"fpr\"]\n",
    "agg_df_50pct[\"1/fpr_std\"] = df_50pct.groupby([\"num_rows\", \"pretrained\"]).std().reset_index()[\"1/fpr\"]\n",
    "agg_df_50pct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 40/40 [00:24<00:00,  1.66it/s]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num_rows</th>\n",
       "      <th>pretrained</th>\n",
       "      <th>1/fpr</th>\n",
       "      <th>tpr</th>\n",
       "      <th>fpr</th>\n",
       "      <th>fpr_std</th>\n",
       "      <th>1/fpr_std</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2048000</td>\n",
       "      <td>False</td>\n",
       "      <td>8.839604</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.113141</td>\n",
       "      <td>0.001395</td>\n",
       "      <td>0.110001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2048000</td>\n",
       "      <td>True</td>\n",
       "      <td>11.624179</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.086059</td>\n",
       "      <td>0.001826</td>\n",
       "      <td>0.251484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4096000</td>\n",
       "      <td>False</td>\n",
       "      <td>10.050653</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.099511</td>\n",
       "      <td>0.001349</td>\n",
       "      <td>0.135794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4096000</td>\n",
       "      <td>True</td>\n",
       "      <td>12.659922</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.079008</td>\n",
       "      <td>0.001342</td>\n",
       "      <td>0.215474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8192000</td>\n",
       "      <td>False</td>\n",
       "      <td>11.264872</td>\n",
       "      <td>0.800001</td>\n",
       "      <td>0.088824</td>\n",
       "      <td>0.002419</td>\n",
       "      <td>0.307226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8192000</td>\n",
       "      <td>True</td>\n",
       "      <td>13.403011</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.074623</td>\n",
       "      <td>0.001109</td>\n",
       "      <td>0.198366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>16384000</td>\n",
       "      <td>False</td>\n",
       "      <td>13.767845</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.072639</td>\n",
       "      <td>0.000744</td>\n",
       "      <td>0.141253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>16384000</td>\n",
       "      <td>True</td>\n",
       "      <td>14.101021</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.070924</td>\n",
       "      <td>0.000785</td>\n",
       "      <td>0.157623</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   num_rows  pretrained      1/fpr       tpr       fpr   fpr_std  1/fpr_std\n",
       "0   2048000       False   8.839604  0.800000  0.113141  0.001395   0.110001\n",
       "1   2048000        True  11.624179  0.800000  0.086059  0.001826   0.251484\n",
       "2   4096000       False  10.050653  0.800000  0.099511  0.001349   0.135794\n",
       "3   4096000        True  12.659922  0.800000  0.079008  0.001342   0.215474\n",
       "4   8192000       False  11.264872  0.800001  0.088824  0.002419   0.307226\n",
       "5   8192000        True  13.403011  0.800000  0.074623  0.001109   0.198366\n",
       "6  16384000       False  13.767845  0.800000  0.072639  0.000744   0.141253\n",
       "7  16384000        True  14.101021  0.800000  0.070924  0.000785   0.157623"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 800x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fixed_tpr = 0.8\n",
    "plt.figure(figsize=(8,6))\n",
    "\n",
    "d_80pct = {\n",
    "  \"num_rows\": [],\n",
    "  \"pretrained\": [],\n",
    "  \"1/fpr\": [],\n",
    "  \"tpr\": [],\n",
    "  \"fpr\": [],\n",
    "}\n",
    "for run in tqdm(runs):\n",
    "  if run.id not in output_dict:\n",
    "    continue\n",
    "  y_true, y_pred = output_dict[run.id]\n",
    "  fpr, tpr, thresholds = roc_curve(y_true, y_pred)\n",
    "  roc_auc = auc(fpr, tpr)\n",
    "  idx = np.argmin((tpr - fixed_tpr)**2)\n",
    "  d_80pct[\"num_rows\"].append(run.config[\"train_samples\"])\n",
    "  d_80pct[\"pretrained\"].append(\"transfered\" in run.name)\n",
    "  d_80pct[\"1/fpr\"].append(1 / (fpr[idx]))\n",
    "  d_80pct[\"tpr\"].append(tpr[idx])\n",
    "  d_80pct[\"fpr\"].append(fpr[idx])\n",
    "df_80pct = pd.DataFrame(d_80pct)\n",
    "agg_df_80pct = df_80pct.groupby([\"num_rows\", \"pretrained\"]).mean().reset_index()\n",
    "agg_df_80pct[\"fpr_std\"] = df_80pct.groupby([\"num_rows\", \"pretrained\"]).std().reset_index()[\"fpr\"]\n",
    "agg_df_80pct[\"1/fpr_std\"] = df_80pct.groupby([\"num_rows\", \"pretrained\"]).std().reset_index()[\"1/fpr\"]\n",
    "agg_df_80pct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# make a plot for training speed\n",
    "# baseline vs pretrained\n",
    "# use all fastsim data and see if we can pump performance even more\n",
    "\n",
    "# work on GNN first pass try"
   ]
  }
 ],
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