Classifier_Model-Transitions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a439ec6f",
   "metadata": {},
   "source": [
    "# Transition Classifier Training Notebook\n",
    "This notebook creates and trains the classifier model uses transition labels rather than stress level. This notebook can be run after the encoder notebook or on its own. Many of the functions found here are similar to the ones found in the encoder notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "734c540c-eda4-48aa-b0d4-bb7fed0cda7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import os\n",
    "import glob\n",
    "import pandas as pd\n",
    "from scipy import signal\n",
    "\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch\n",
    "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n",
    "from sklearn.metrics import precision_recall_fscore_support\n",
    "\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89800e28-1ab0-43b6-a947-93bb50f141c4",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### Load dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f840e507-92d3-4880-b246-bd4a9e21584c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def split_filtered_and_raw(filtered_data : list, raw_data : list, random_seed=128) -> list:\n",
    "    \n",
    "    autoencoder_split, classifier_split = train_test_split(filtered_data, test_size=0.7, random_state=random_seed, shuffle=True)\n",
    "    autoencoder_split_raw, classifier_split_raw = train_test_split(raw_data, test_size=0.7, random_state=random_seed, shuffle=True)\n",
    "    \n",
    "    # split data into train and test\n",
    "    autoencoder_train, autoencoder_test = train_test_split(np.array(autoencoder_split), test_size=0.2, random_state=random_seed, shuffle=True)\n",
    "    autoencoder_train_raw, autoencoder_test_raw = train_test_split(np.array(autoencoder_split_raw), test_size=0.2, random_state=random_seed, shuffle=True)\n",
    "    \n",
    "    classifier_train, classifier_test = train_test_split(np.array(classifier_split), test_size=0.2, random_state=random_seed, shuffle=True)\n",
    "    classifier_train_raw, classifier_test_raw = train_test_split(np.array(classifier_split_raw), test_size=0.2, random_state=random_seed, shuffle=True)\n",
    "\n",
    "    \n",
    "    # further split train into validation and train\n",
    "    autoencoder_train, autoencoder_val = train_test_split(autoencoder_train, test_size=0.2, random_state=random_seed, shuffle=True)\n",
    "    autoencoder_train_raw, autoencoder_val_raw = train_test_split(autoencoder_train_raw, test_size=0.2, random_state=random_seed, shuffle=True)\n",
    "    \n",
    "    classifier_train, classifier_val = train_test_split(classifier_train, test_size=0.2, random_state=random_seed, shuffle=True)\n",
    "    classifier_train_raw, classifier_val_raw = train_test_split(classifier_train_raw, test_size=0.2, random_state=random_seed, shuffle=True)\n",
    "    \n",
    "    \n",
    "    split_dataset = [autoencoder_train, autoencoder_val, autoencoder_test, autoencoder_train_raw, autoencoder_val_raw, autoencoder_test_raw,\n",
    "                     classifier_train, classifier_val, classifier_test, classifier_train_raw, classifier_val_raw, classifier_test_raw]\n",
    "    return split_dataset\n",
    "    \n",
    "\n",
    "def load_and_split_dataset(eeg_ft_dir = 'ALIGNED_DATA', split_size=100, cutoff_lf=4, random_seed=128, num_subjects = 5, subject_choice_seed=128):\n",
    "    subject_data_files = glob.glob(os.path.join(eeg_ft_dir, '*.csv'))\n",
    "    # sort the files by the index given to them\n",
    "    file_name_2_index = lambda file : int(file.split('.')[0].split('_')[-1])\n",
    "    subject_data_files.sort() # sort alphabetically\n",
    "    subject_data_files.sort(key=file_name_2_index) # sort by index\n",
    "    # group data, pick num_subjects randomly\n",
    "    np.random.seed(subject_choice_seed)\n",
    "    all_eeg_ft_names = np.random.choice(subject_data_files, size=num_subjects, replace=False)\n",
    "    print(f\"Chosen subjects: {all_eeg_ft_names}\")\n",
    "    \n",
    "    if cutoff_lf is not None:\n",
    "        sos = signal.butter(10, cutoff_lf, 'lp', fs=1000, output='sos') # low pass filter\n",
    "    \n",
    "    \n",
    "    full_dataset = []\n",
    "    for x in all_eeg_ft_names:        \n",
    "        dataset = []\n",
    "        unfiltered = []\n",
    "        \n",
    "        input_label_pair = pd.read_csv(x).values\n",
    "        input_label_pair_unfiltered = input_label_pair.copy()\n",
    "        \n",
    "        if cutoff_lf is not None:\n",
    "            input_label_pair[:,2:] = signal.sosfiltfilt(sos, input_label_pair[:,2:], axis=0)\n",
    "        \n",
    "        n_chunks = len(input_label_pair)/split_size\n",
    "        \n",
    "        split_data = np.array_split(input_label_pair, n_chunks)[:-1].copy()\n",
    "        split_data_unfiltered = np.array_split(input_label_pair_unfiltered, n_chunks)[:-1].copy()\n",
    "        \n",
    "        del input_label_pair_unfiltered\n",
    "        del input_label_pair\n",
    "        \n",
    "        for x_split, y_split in zip(split_data, split_data_unfiltered):\n",
    "                if len(x_split) >= split_size:\n",
    "                    dataset.append(x_split[:split_size].copy())\n",
    "                    unfiltered.append(y_split[:split_size].copy())\n",
    "                    \n",
    "        split_dataset = split_filtered_and_raw(dataset, unfiltered, random_seed) # split data into train, validation and test sets\n",
    "        \n",
    "        full_dataset.append(split_dataset)\n",
    "    return convert_loaded_dataset(full_dataset)\n",
    "\n",
    "def convert_loaded_dataset(full_dataset):\n",
    "    '''\n",
    "    convert the full list into individual numpy arrays\n",
    "    '''\n",
    "    return [np.vstack([x[i] for x in full_dataset]) for i in range(12) ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "714f63df-89e5-4da9-8e5f-151cd082eb6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Chosen subjects: ['ALIGNED_DATA/EEG_FT_ALIGNED_9.csv']\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "dataset = load_and_split_dataset(eeg_ft_dir = 'ALIGNED_DATA', split_size=100, cutoff_lf=4, random_seed=128, num_subjects = 1, subject_choice_seed=55)\n",
    "\n",
    "classifier_train, classifier_val, classifier_test = dataset[6:9]\n",
    "classifier_train_raw, classifier_val_raw, classifier_test_raw = dataset[9:]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92fc2497-b051-4889-b598-c134db0d2959",
   "metadata": {},
   "source": [
    "#### Visualize Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2686db29-ffac-405a-b02b-e96d67a355ef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1781\n"
     ]
    },
    {
     "data": {
      "image/png": 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IAmmpqu8mTlT1PaBlbBIZhmEYJUGQQfTZInI9NZs2/QiYHZ9IRhjqU4W1Pr1LQ8XGsRoWQVogPwE6Ay+4v86um2EYOSZqAVyKCxCN0ifILKxVwC/yIIsRgfo0bdPKwNJH6lWONDKRUoGIyMuk6VVQ1ZNTXTOMaJgGKXUlal1YDYt0LZC73f/TgR2Bx93z84AlcQplGEY0bEOp0kBVkXqQWCnHQFR1rKqOBQ5T1XNU9WX3dz4NzBrvJ3NXUjHiVRat2VRoUergre9t2FJJxYhXeeXz76vd9rj+Df4+Lp45D4PveofbX/sq5fX/eWYqZ/z1g8DPe2piZiuly9dvoWLEq4z7tmZ/+6P+MJabRk0PHE4mqqqUPr95jX99ODdnzwxKMdTfN2/bTsWIV/n3ZH+jEz97cgrn/O1D/5uL4QWMvBFoGq+I9E6ciEgvGtg03sc/mgfAx7NXFliS9MxftRGA+96eWe22adt2bktTyGcV3spN/C2Ncnrx04VMnrcqp2F+vmA1AI9OmFPtNnPpev75wdychVFZpWyvUm595cucPbOUWLFhKwD3vPmN7/VXPl/Ex3OK+1sodkq9qzJBkGm8/wO8JyKzccZsdwYui1WqIqUY+3dLvxFcfFS5X3chuhiizqbKZc4sc197exRZLEMGovhKkmgEmYX1hoj0BXZ3nb5W1S3xilVcJL6JUqs12NTOaGyvcuKtvB70UUch8d5VUbKPZblAON9m6eevoNvSHoBjyr0RsI+IoKr/ik2qIqNUB7tMf0QjUfMuK0CyF0OSJfK7VUDio77EbEYF4m4e1QeYCiR2i1GgwSiQBMX4PaUTqQjFLQmqqhIKpDQrDtmSeO1ILRCjQRGkBTIA6KcNuDpS3YVVUCnS41fWVTXcJMuKRBdWIfRH1CSLQ9TtETRI3Dluw5ZKWjQpL9legQT15dMMMgvrC5x1IA2XEsirfhnSFEg0El1Y5YXow4pILlM6kW2KLf8sW7eF/jeO5sGxpW+Krxgn5EQhiALphLMPyGgRGZX45SJwERkmIt+IyEwRGeFzvamIPONe/1hEKlz3jiLyroisF5H7cyFLEIqxEZauiCtCcUuC7Q28CytRuBXbJKzFazYD8Oq07zP4LH7qy7cZpAvrpjgCFpFy4AHgaGAB8ImIjFJV7+T7i4FVqrqLiJwL3AmcA2wGrgf2dH+xUqr2fepLJs03NV1YhUj3Iki0LFog+ZDe8nXxEGQa79iYwh4IzFTV2QAi8jRwCuBVIKdQo8CeB+4XEVHVDcD7IrJLTLL5Uoz51k+m6hpkUUpc/FRVOf+l2QDJXuhErokyBhInpZke9ZuUXVgi8r77v05E1np+60RkbQ7C7gZ4bVcscN18/ahqJbAG6BgmEBG5VEQmicikZcuWZb7B9xnuQXF9T7XwH0TPvxz1gYJO4y2CNEu0PIpBlvpKfYnbdLawBrn/rVW1jefXWlXb5E/E7FDVh1R1gKoO6Ny5c6RnlELFR7VuV1uxDYKWCg19IWEi2xRrC7Y+ZOtijduwZBxEF5FbReQoEcm1/auFQA/PeXfXzdePiDQC2gIrcixHYPwS/ZvF61i/pbIA0jgkirhpC9dQmeh7cfluxcb8CxSAL79fy6atzpKizxespjJNU2n1xq3MXra+jvu8ldm925TvVqGqbNhSydeLazeo/cZAZi9bzwezlrN523aisGFLJW9/tYSlazfXuTZ1/urqMBf7XM/ErGXrWbNxWy23zxespnJ7VR2/81durJbhs/mrmTS3rk2rRGokJ4tfOKmYv3IjS9fVvMuX36+tFXefL1jNNh/5Fqza6BtHfvJ9+t2q6jU7CcZ+u4yZS51v8pvF66rdZy9bzyrXxlc6qqqUT78LZ79t+fottb61RN5Kx/yV4Qyzpsp3c5dvYOWGrXVkqB1W7bTIJUFmYc0GzgcmichEEblHRE7JQdifAH1FpJeINAHOBZJnd40ChrvHZwLvFGI9SrqK6LH3juOiRyfmT5gkEpGxcPUm7nnz21rXTrzvfaC4+o7XbNrG8X8ez/88M5Xp36/h5Psn8Lc00zKPvXccR95Tdxhu9rINkWV468slnP6XD3hy4ndc/vhkht07nq2VNYVZ9Swsz9dx5D1jOf/vH/OrZz+LFOZlj03m4pGTGPi7t2u5T/luFac+MIFVbsF8wcPh89LQe8Yye3lNfHy9eC0n3z+B34+uawxx8F3vMvB3b7Ns3RZOeWACZz74IbOSFHTiE0seAxl6z1hOfuD9tLIk7h1817sMvM151zUbnTS/6tmpgGP88uT7J3D7a1/XuX/Qne/WiaME3nw8YeZyTvvLBzziMar5+rRFDH9kIkf9YRw/HTmJY+8dV61gjrxnLMP+NC6t7ACPTJjDaX/5gAkzl2f0m+DA295iyO/frZbh9L98wHMpLBknOPbezLJ4+dVz/vnuiLvfY9Cd7zDQI0My3rTINUEG0R8FHhWRHYGzgauBS4HW2QSsqpUi8jNgNFAOPKKq00XkFmCSqo4CHgYeE5GZwEocJQOAiMwF2gBNRORU4JikGVyxk/hYPpmbW4uzUfli4ZpCi5CRLW5NavJ3q1i6LrNJtSVrc292be4Kp7CdtXRDtYVlb3dfVfUYSF3NOyVk7TTBx3P8G85L1uS+ZrhivVPTnpYmP2zwtJpXbdjqbFTtkogKv4rHvAit2s2VTppPcr+TlW5LIGFZOQoLXMvT3y6paWXM9ciWiO8qVcrcdnqQvPTVIud5C1cHbyF4q7QJRT5nefQKjh9T0li13rg1Wqs4FwQxZfIPoB/OJlLjcVoCU3IRuKq+BryW5HaD53gzcFaKeytyIUMYkts+xdoXmzwWUkQNkFoUSi5vAek3TpRuDCSqzE53WN2wct06FKmRsdjGwBLSlLstu6jyBemEEBFQpbJKaVQe/tlRx78S9xfrN5drgnRhdcRpIazGaQUsd2dENRhSrQOJ8wPNZU9dHOsZciFfocxRJMayyqSmUPO+TmIWlp94UWVONaMrjjioMYYY7f5cZ+tka9YJ+cLOEgyzHisR32G/0erWZ5CS0YdEcA1lEWqQLqzTAERkD+BY4F0RKVfV7nELV2wkZ8ViqN8FyaZxZOVSniJc5SnIqqeselIz3Ur0qOVCqsIvjrRJyJiu7Ez3HjmfIVQdVu14jXM404lvDb2WpSpLBVCTtyLdnpJiVUdBurBOxNnCdgjQDngHpyurwZDqg4y3BRLQXwA/cVSGctICyYEcUajytDBq7D7VXE+nQKIWLKlui6OmWlZdw0+dRulq89XTeHOUvZPDymrDqjTUUnyJFkjdiV5pyfabTshQ6sYegxLElMkwHIXxJ1UtfSM0EUjOC7OXrWfct8s4d2DPwggUkjhMseSiBVKob8yvm6HWIHr1LCw/BRIurHWbt/HGF4tTKoqoXSXpCNJ94xUnWbRskjZd+Zsc72EL9zD5JaqSyrYLqqYFE+n2lIgIr09bxH4927Nj22a5fXgWBOnC+lk+BCkFErWL/33+cybPW8XgXaMtTAwWVnFTyguhEq0n70fuNwbiVwiErVle++IXjPosdb0r1zVVVc8YSORnxJO2ybPb4mzBJ8JIXhuViYRMUS0x1wyi5zZdq1T5ryem0L19c97/9ZE5fXY2xFD/qY/Uzgwzlzrz5jfFOH0uykec8o5YurAi3pdbMSJR3U/tiRhvfFfmcAxkSYZFcXGOgQRtJdaZXZhbcepUNoKM0WRL1FZOVZrKQxA0phZIQq4Fq8ItQIwbUyAhSGSOxuVO7thSGTJ3xoA3n6b6IOMZRI86BTPHgmQhg6RogdTsSFj33rBxmel1c99Xrp4x6+JIoxrTKA7Vg+gRVVXqfC6eY4ewXVjeCRZR8I6v5ZJi+G78CKRARKS5iOwWtzDFSnWNyT1PNG+3VMbYAonkr+6MIohrED3afV7FE6WZn4sPqeYj9x8DSWfOPdeD3nEYbKzpIkrtJ30FIMeD20mD8okoDDtDKlPU+w+ihx0DSd36DHR/Ivgc55NinfUYxBbWSTj7ob/hnu+bqw2lSoXkrNDIHfkshhaIlyA1s1wRtQVSS4FEECsXH5LfGIj3uem6MXKvQOIYA3GO06VRuuTzi+NsxkVqNqhK/GeWIcjz0pGI1+1VGkr27Wlan0FIZ8UgG4ptUWiCIC2Qm3D27lgNoKpTgV6xSVTMJA2wbdkWnwKJkl/ymcWiD9BmGW4OPqTkrhTHzdsCqXs9QRwrx3NNVYACOqxyyWZaed0xFs0ogx+JilCQ2xIKoLJKQ+W5bNeBpDMDkw3FqkCCTOPdpqprkppkxfk2MZF49bvf/Ja1myv5zrUEe/njk6v9jJ6+mFte/pJt26s4tv+OvDBlAeP+7we0b9GEE+97n06tm7K9qooJM1cw8icDOdydwfWP8bOZs3wDT3z8Hafv3427ztibiXNWcucbNYbmfvn0p1x7wh7s0LoZwx+ZSPsWjbnjjL35xVOf8r7H6FvCxtC3S9bz1/dmVbtv2radXa97nbMO6M4nc1fy3OWH0rZ5Yx54dyaDdunEPj3a1Xnnv7w3k4lzVnLS3jsxcc5Knpk0nz6dW3LJ4N6cN7Anfx9XYwDx6uc+4/0Zy6styV54yM4ctUeX6uu/eOpTrjvRkT8xCLhs3RZ++I+PfeN79cZtXP/SF3y1qLaV3Mc/msfNL0+v5fbg2Jr3PPG+8XyxcC1XH7Mrr3+xmOnfO/cP7NWB3XdszbrNlXRu3ZSHXNm9OXrkB3NZu6mSeSs3sty10TVp3ioOu+Mdrj+xX7W/rxev44onp3BI7478ccy3rNiwlQsO3pnnJs+nUVkZU284mo3btrP3TW/yxCUH+X4pD42bRYeWTbk6hYG871dv4sqnp9JvpzZUqdK0URmjPvueI3ffgQWrNjF+xnJGXzmEt75awpff146jW1/5ks6tmwKwfksl1700jR8dvDNXPDGFWR4DlC9NrZkZduaDH3Lk7jvwy6F9+ecHc9mja42Zu343vMFZB3Rnr+7tfGVds6m2dd63vlrC6OmLa7klCr9t25VBd75TnQfmrthIxYhX6b9TG6Z/v5Zj+9fkmdtf+4ofH1bBIbe/U+32+MUHATBj6Xp+/e9pADw7aQGrNm5j1y6taNm0pjhLGKc86g9jae1xP/ehD1mwahNtmjXmgJ3bc9XRu7LfrWP4x4UD6NquGWO/dfYMuuifn3Di3l1pXF7GwtWb6NKmGS+7s+m+vnUYL326kBEvTKv1nje/PJ1HJ8wF4KFxsxnStzOnPPA+FxxcwcBeHep02b3z9ZLq46uencrNJ/fnqmc/Y8yXS3jl54NqWdBd7bGC/Lexs1iydkstQ5IJrntpGted0I9mjcvZWlnFTUnfS66RTDU6EXkYeBsYAZwB/AJorKqXxypZDAwYMEAnTZoU+r7rXprG4x99F/q+0/fvxkWH9uKk++taMJ17xwkAVIx4tZb7oxcdyEWPflLH/62n7skFB+9c7f+WU/pzw3+iZY6LB/Xi+hP7VT8rIYuXZLmSZU933Y9j+nXhoQsHcNDv3opkINEvzChyeLn99L24JqkQyJZHLzqQD2Yu5+/jnY97YEUHJvqYTE/HYbt0ZMLM9LsWtG3euE7hnS0VHVvUMkiYibl3nFCr0EzlZ/7KjQy+693Q8vTo0LyW2fPu7ZunnYV06ZDe1ZWDoHRt24xFrkHLMgnWRfq70/biNy9mzjdNysvY6mOyPhU/HdyrOt9kw80n92f4oRW89OlCrnxmarW733ceFBGZrKoDkt2DdGH9HOgPbAGeAtYCV0aWpASJOoZQVaWhZ5qkGvRLVvRhBwe9FGKr0kSQW4to3CjqXP90qCrbttfEb5SZRt77U+G310e2rNsc3sRdNvkwE9uT4sFv/xAvUbqNvOOYQV8laDhhlAcES/cgJMqKfHR7BVlIuBG41v01SKL2Z0ZJvlSZOHlWh98q6aAUYEsVz+rovAedmhhkyVfUxhFMXAVO1Ocm5/mMeSdCMFEqU3HtVJmr7zKbsiEsQWxhDQB+A1R4/avq3vGJVX8I23pJ9bElPyWbLFKIQrxm8VjxaJA4CkzV/Lxjul0coxKX1FGjI7mcztTaiaIMorSg4mi5Qu5sg+XTQlCQQfQngP8FpgHF0/+QR6ImSJT8kCpDiyRdy6IWVKXhpjbmgiBrE/JNHKJo0nMjRXOAe+LoCoxSmAa5I2o8J2fxTAVsFKUa5Z7YFEiukjSPRuaCKJBl7u6ARgTCpmWq/FwmUiuzZ5OHqzT/K1vzYf8oLHHIUqVaVO8YhrikjtyFlVR1i6MFEuWeuMrnXI0n5bEHK5ACudHdlfBtnIF0AFT1hdikKjKiripNlx02bKn03aP5iif9N3ssE/gfz4yKKfNWR5IJ4KmJ33HBwTtXny9Zu5kubWosfGZqnVwysu4ssUwkojCX229msjOVCe/UyFyhScp5UpqtSFNSKEvgIcuvE/48nu8DbP2aK32a6TlRuoDCDnTHSa66sBKVtXw0RIIokIuA3YHG1HRhKdBgFEhUVDVlIn6xcE2tKYqZEBFenbao+vzfUxZkJds/xtdMd3x92iJ+fFjN2tBM+fitr5aGDi+O/RHe+GJxZk9p+GDW8syeIlCa7Y/wLYXpSWtQUhMtRpJnsGUqYPPVLduySZBiMzy5boHkIzqCxMSBqtpg7WBlS0rzIiEL1LrmVCSrgVTvncmzNuLogslWfcRROJTHsRkH+R9fyhVxjU9FNlmSdF+m7qZ8TU/P9UZYCXI1MSIO00WpCPIFfSAi/TJ7M5JRclcLSFY4jcqzyyS1jRomX8vq0b5k2y/rF4/ZKroso9AX1cKss8kFce3xEjU6kmvkmZI7jplpfsS19iVns7CKbAzkYGCqiMzBGQMRQBvSNN5sEiRXtXl/g47R+29riZX0gnEUJNkal/OTKNvvOI4WSJXmryDLNXE1nKLmp+RozPQt5Utxx5W+uevCKq4xkGFxBS4iw4A/AeXAP1T1jqTrTYF/AQcAK4BzVHWue+0a4GJgO/ALVR0dl5yR0dS1irDdHMm+c9kCSW4dxFGQZDsG4hdf2XYVNYpjJToa6+rsOIlNgUTtwkrK9cWiQOKaZZcr+YuiBSIibVR1LbAujoBFpBx4ADgaWAB8IiKjVPVLj7eLgVWquouInAvcCZzjdqmdi2NiZSfgLRHZVVVj2aBj7abwJh7AMTSXyl5RWLMRa5Oes3lbdq/q3U1xe5VT6G3YWknj8rJYZidtqdzOmiyeu3z91jpuyXESlvVboqVrOjZu2c7qLOXKJp6yIY4ZSeu3VEaeebcqKR4yla/L14e3sRaFDVvi2Qdo7ebcpPvaTdtYs3FbnXzkTOrJrXZJaUxRRF5R1RPdrislefM71d5ZBSxyCHCTqh7rnl/jPvh2j5/Rrp8PRaQRsBjojGPYsdqv11+6MKMaU8zGYJ9hGEYx8PWtw2jWuDzSvaGNKarqie5/L1Xt7f4nflkpD5duwHzP+QLXzdePqlYCa4COAe8FQEQuFZFJIjJp2bJlkQS99dQ9I93nZe/ubTlpn52yfk6hGNirQyj/w/rvyJ7d2oQO54jdOtc6b92sdiO5U6smoZ8JsEfX8LJcdnjv6u2L4+KwXTr6mtOPk2P6danjdvr+vp+PEYHj9twx7fX2LRpzzoAeoZ978aBenLpv9DIk15tcQbAdCd8O4lasqOpDqjpAVQd07tw58w0++CVak/JwA7DXHr8H9523X6Twi4G7z9yn1h4fmXjwggMYedHAUGE0aVTGP5PuufzwPrXlOGuftM/4wW7+aXzjSbUnEp51QPe0zzmmXxeuOW4PRv6kRp72LRqnvScK956zHz85rCLnz03HnWfUnf9y44n9Iz/v7rP2qaPog5AqrZJp2ig3kx0uHdLbV3nmkgsO3pm//uiAtH4eOH9/7jwz2BykZo1r3v36E/tx77nRy5A4xvzSjYE0A1oAnUSkPTVdWG1IUdsPyULAq4a7u25+fha4XVhtcQbTg9ybM3KxM10+LWTGQaNyoUmjcO8Qtsbj5zv5EZnsEKWaWZX88WR6TqK/3Wt5NY7FkHHZVUqHX16ULMvoKO8RND5zFUci8S/yDCJrmLIgl2s64iiD0mWby4DJOKvQJ3t+/wHuz0HYnwB9RaSXiDTBGRRPtrk1ChjuHp8JvKPOoM0o4FwRaSoivYC+wMQcyOSLXz4PrUDyOTUiBhqVSfVe8EEJ+8q+8Zz0AWWKx1RdTo2SWoyZPyanqPEWCHGkYLlI3vOGXyGXrQxxmTiH3H07+YjnIAqkEJWGuEjZAlHVPwF/EpGfq+p9uQ5YVStF5GfAaJxpvI+o6nQRuQWY5BpwfBh4TERmAitxlAyuv2eBL4FK4Iq4ZmCBf8YL+8GUep4pLxMah+y2y0WNPWy8pVIMdVogGWSrboF4FUgMaVhenn8F4teVkW3+jFK7DToNO1ffTj5iOVALpMQrk16CbCiVc+XhefZrwGtJbjd4jjcDZ6W49zbgtrhk8+KX3mEzQanXOhqVl4XuQ83FK4duxaRwT47/TOmRKNxq+4uhC0skr/P2wT/vZluoRUnroN1Juep6EYlfiQSJxxIvCmoRhzGgeodvP2QD7MIKSy5aIGH7gFPFc7L8mdIj0QLx+osjCcvK8l+gxNGFFWf+jrN7LNfkeqC62F/dFEgA/PJE2HQtdQVSXiahTVJk+paizNzJRKqWRbJ7puSo8mmBxDUGkm/77X5RFLbcS56iHSV/e3uwxv7vETyYYvZSrj4dQUIPoh/cO9z09VKfLBOWQApERLqJyKEiMiTxi1uwYsK3yR8yo5R6F1bj8rLQJikyFSpd2zZLex3CG5hLFWbY8ZsEjeIeAymTvLdA/FqGYRVARceWtc6j5G9vyvZo34KWTaMtcouT5PfMRCm1lnJBkD3R7wTOwRmwTgxUK1B3N6R6il+eaGiD6GWSeyu9QYwZhrU7lEpPhFX4iWDLarVAcp+IUoBZWP5yhPOfnCrxDsLnLn7CPimszbmI9ZSSJUgfwqnAbqqaH0MzRYhfja2hrQOJMp6RqWAM8rGFbfWkUkpho7+6CyvmMZA4nxtOhuw0SJyzsHLWhRXhOWGnrufawnMRZI20BHnb2Ti7ERoewn5wxVDLzJawYyCZXjlIjT6sZdtUSils60H9pvGGekJwSjFvJLcMc/EOce/DFUXCsF1z1gKpy0ac/UCS90T/RWxSlQBhM2O96BsN+YHn4o2Tx0AyFTKp4jmsyfpEAVmrCyu2Jkg8j42T5Pgrifwt4QfRw09dz+w/jAyx5bkcEURfjgJuBT6g9or0Bs2I43YH/I0M+hnuS+SD8waGN6IWhoTtnGP6dWGH1k1p0cR/YHKvbm1TPqNTq6a+7icHtAl24t5dgdS1t4Rto3MOrB0XVx/j7Jx8+K41NpJ269K6lp9du7RKO/ieKPArOraofSFJlFOS3uXMJNtYCeOC7ZrXNL5/MqhX9XGQCQBB6efml58Ornm+3+yfXNiEGrJravtTJ7jp5qVtc//Oh+T4uiiCPa/zBvasdZ6qrPRT9i09+Tr5Oak4cvcdqm2gXXjIzoHuSW5p/WC3zmkNcw7q2wlIb2stzMC8n+0urw2x3p1a0qtTuIH+XJLSnHt9JKo592zofc2rVCl8MOJIdmrXHFWl1zXO2smXrjiMUx+YUMv/aft148VPF3LH6Xvx5MTv+HzBGp6//BD26dGORmXClsoqdr/+DQDm3nFCynBVle1VSqPyMrZtr/KdhZTKTP20m46hdbPGbN62vU5YA347ptbeHAn3xLNm3nYc5WUSuOa0bXsVfa99vc77JJ43944T2FK5naaNaivCO17/mgfHzuJ/j92NK36wS7X7zS9P59EJc7n+xH5cPKhX9XM+ufYoDrztrVrhXDJyEm99tYS//nB/hu25Y3W6zLjtuFrxlYi/rZVV7HpdbVl/99pXPDRuNuAo72k3Het7b+L4iN+/x8LVm+rEX6q4STd7LPFuO7VtxgfXDK32n3D/6pZhPDJhDr8f/Y1veN48ko7/fe4znpu8gFtP3ZPzDuxR7f+qZ6fywpSF3H3WPtUK5fGP5nHdS18AjvJJ3g9nwogj6dauue87jp+xjAsensigXTrx+CUH8f3qTRx6xzt0atWUSdcdVct/4n9L5XaalJchIrXy0n3n7Vdt/dqbl/w4468fMHneKp6//BAGVDiK+9yHPuSj2St54Pz9ueLJKbRu1ohpNx1LVZXTkZuoHCWePfWGo2nXosZSdHLcDr3nPWYt28Czlx1SXen0ypU4nnL90XRo2YS9bhrNus2VvHv1Efzg7vfSyg9ww3++4F8fzuPmk/sz/NAKzv7bh0ycs7L6erp7g5DKnHs6Y4rPqurZIjINn1ZXQ9rSNhuaNipn07btnm0m0xesicvJO85GMSOSmEES9t50zfBM9Y1MhVEyQWRLVh5RSBftZUkKL1mmxLnfMxolzdJKda/fczMR1H+i1ZXsv3mT8rTm6L15JB2JNC2TcOnr1wJN7upK9441+bAm0yX8J/69ecP75Gx7fvxM2UDqyQLJ33WquM0UfYn4qc5zQYQtIOnGQH7p/p+YD0HqK4kMGHRyhv9gb36zUeJbKPLu11Dk4lUyPaNQ8VWsg/B+W7Sm+w6SKyfhjXHmbsp1simbbNM+IVtoC9UBvReqIymdMcVF7v+8/IlT/6hWIH5TgdPcl+paPsqKYi2QsiE3hh2zX4AXB8U6Q9xvBl2YabHVrfEIhWOuWiBB4zZTPkgopIzvL8mnwQRIzJDMu121TB5E5HQRmSEia0RkrYisE5G1+RCuPpDo4gj6EWQyHR/HYrZU4fmFVSwjZrkwshi2gMqcNoWhWNcY+S0CTTdbK/lSolAOmuckxXEUqmfhBcxogRVNJv2RrEBykM/jJMg03ruAk1T1q7iFqY8kWiB+zXk/Ct+BVaM4iqBynZKwtdJcvIvvgtIM1/NBsU6h9cvyYdbZhX2rWso82xZIVbgafdCKXaZ1JcWZkqkJkpxLTHlE5+6z9mHv7m3pGHAvb79aV62+3RhyWHKeTpyXWmZOR2wtt1r97oWhSPWHfwsk1hXruWuDJJRf2+aN2bdHO/54zr4Zwg723EzKvu5gfLDnFop0s7BOdw8nicgzwEvUXkj4Qryi1Q+G7No57dz7ZHy7SVIc54oykVofe7oZY8Uy7TvTh1VHzrTxGv2dYt4uJKAMxVnKZKtAJGQXVu17I9zkISF74/IyXrrisIz+c50GxZmidUnXhXWS53gjcIznXAFTIFnil+cKUT6XJVlKlPrYAskwfhH5uRS+BZKOfIyZpcKv2zZMd1s2kmc/BuI+J2gXVo78JS7XzIQMOIhehLOwLgIQkcNUtdZqNxHJrJKNjKT7uFPPwsp9gZD8xGI3nxCEOl0BsYWTOsyGjt8YSLQurPBhZ5sWGnoQPTdpX2cQPdsHxEyQMRC/LW1j2+bWcEj1zcTVheUbVj0qD+Mq3IshiopJcQVdD5GLZ6W9N/qtQPhZWLlKgeRKZRElrS/pxkAOAQ4FOovIVZ5LbYDi2/mlnpD5A8x9mKkqhb5jILkPPi+ki7Zsmv+5nPkTWYbCBJs3ooy7ZZsWie63oA2mjGNyif/QBkmLO3XTtUCaAK1wlExrz28tcGb8ohn5oksIw4C5MOiXCxq7X3aqLpHkQsfvA2/imsHIpgbvNcXRLAcmV6IQt+JKmEOJexO1xPMTJkAS6dIkQrxmGyeJMDOtsamesZghwGbVeS19uNmuA0mQr+803RjIWGCsiPwz16vRRaQD8AxQAcwFzlbVVT7+hgPXuae/VdWRrvttwIVAe1VtlUvZ8sE9Z+1Dp9a1Ld4+d/khfPrdKmYt3ZD23lx2VzxxyUEMf2Qivz9zb87464cA/Ob43dPe8+RPD+bVzxfxhzHf1nL/w9n70KFlsKnKydx//n6+Vn3TcdnhfVi/ZTs/PrQikH+/mtzNJ/dnxzZNOWqPHUKF7eXCQypYvHYzTRqVcfaA4JaWLz+8D0OzCBfgxpP6cfPLX9aJ9z+esw/tW9R2a9OsUco9xzPxq2N2o3F5Gae5FoqD8srPB3P8n8cD8PLPBvHxnBVp/R/UuyOXDenNxa5V4rbNG/Oro3fluL3qWgnOhDe9n7/8EL5aFG7t899+dADPTZ5P7wyWbl/9xWDe+2ZZ5uddcADPfDKfPp3DFVcC/O60vejTOb0cyQ2bu8/ah0cmzOHQPp1Yti6+vQDTdWHdq6pXAveLiJ8xxZOzCHcE8Laq3iEiI9zzXyeF3wG4ERiAEz+TRWSUq2heBu4HZmQhQ8E4w7Vc+sXCNQD036kNB1Z04MCKDvz6+c+B/HRLHLZLJ2b+7vhabpcO6ZP2nj6dW/GLoX3rKJDT909tvjoTJ+5d10x8Jlo2bcQNJ/VLeT3IfPoOLZtw7QmpnxGE5k3KufGk/qHv+9HBPenevkVmj2lIVRidtl/dtDh7QA8O3aVTpHDaNm/M9SeGi6fzBvag3041Zs/36t6Wvbqn3kIAnNbkNcfvUcvt50P7hgq3Gk96D6joUG1lNyg9O7bgV+72AunYo2ubtObdE/To0IKrj838vDr5VOD8g4KZq3e9A9ClTTOuOW6PtH5zQbppvI+5/3fHEO4pwBHu8UjgPZIUCHAsMEZVVwKIyBhgGPCUqn7kusUgWnFQqmMNRv4pkqU5RUWplgx1BtGL/E3SdWFN9vj5QFU3pfIbgS4JY43AYqDurinQDZjvOV/guoVCRC4FLgXo2TO4Ji8U9Vgn5pUgYyClTn18p1xRnyuXfhTdOhAPFwJ/FZGVwHhgHPC+35iFFxF5C9jR59K13hNVVb8uslyhqg8BD4GzoVRc4RjFQaoaW7HX5LIh7F71DYFSTe1s9V6+9WZGBaKqwwFEZCec2VcPADtluldVj0p1TUSWiEhXVV0kIl2BpT7eFlLTzQXQHaerq97hrT1Yd0R2pCpMi9RgbVZU201Lk2fyrVyKRVGXagMkutiFKTiCmHP/kYj8DXgeOApn8HpwluGOAoa7x8OB//j4GQ0cIyLtRaQ9jimV0VmGWzKUaP4vGvx2iKtvJN4oSKWjHr5+WopFkYUlOZ+GrQDk+72DdGHdC8wCHgTeVdW5OQj3DuBZEbkYmAecDSAiA4DLVfUSVV0pIrcCn7j33OIZUL8LOB9oISILgH+o6k05kKsg+GURa4jkliCf1eMXH0TPDtnNjCoEQQqZhtayLVWFWceyWpGnW5AurE4i0h8YAtwmIn2Bb1T1gqiBquoKYKiP+yTgEs/5I8AjPv7+D/i/qOEXC3EZ+DOiDaIP6httmmvBCPBOhaqJF1phlfpnVCrlQJAurDZAT2BnnIV/bYGqeMUyjGikHEQvlS8yAoUurIuSEk3uUsumQbqw3vf87lfVBfGK1PDw1patMMiOhjQjKaEsi/GNC10Q1pcxkKAU7TReVd07H4I0RKKYczeCUZ9bHAmqX7EYNYhREPKd7YvDMp5RBysTjEzU6A/LLcnUx2nbxYgpkALSrkVjAA7YuX21WwOoOOeFRLfgwJA2kOJmYC9HnpZNgvQep6eza5Bz3x7tUvrp5RoD3LVL66zDS6afawOqe/vmda4lulS6tat7LR8kGytNx35u/HVsFfyeuDm4d0cAmjYu7p0zss/FRmR2atec0VcOqf7IjexJ7hZ89KIDWbJ2c4Gkqcvtp+/Ffx/Rh/YRLRd76d25FW9cOZhd0lh4PapfF175+SD675TZ4F9YLh7Ui4N7d2TPbqmNJL72y8Gs2bgt52FnIozV218ftztnHNC9qL7D35+5N784chfaNm9caFHSEmQW1q4i8raIfOGe7y0i12W6zwjGbju2ponHdr8NomdHcndOy6aN6B3ShHacNGtcTt8ctgZ237ENjTKYwt+zW9t4tkIWSas8wLHk27Njca+taVxeFsiibj4Jm08KVW4E6cL6O3ANsA1AVT8Hzo1TKMPIloYwiG4YCRIVp3zn+iAKpIWqTkxyq4xDGMPGQHJFlG1QDaPUKcZZWMtFpA/uxCARORNYlP4WwygMpTr/v75gFaCGRZBB9CtwzKHvLiILgTnAD2OVyjAMwyh6giwknA0cJSItgTJVXRe/WA0X63nJDlsTYZQSFTmaYFC0K9FFpCPO3uSDABWR93Es466IWzjDMEoTqwhlZuZtx+V8ske+u3CDjIE8DSwDzsDZUGoZ8EycQjVkrA/ZMBoGjcrLKC/xJfNBxkC6quqtnvPfisg5cQlkGNlgg+iGkT+CtEDeFJFzRaTM/Z1NA9oZ0DAMw/AniAL5KfAksNX9PQ1cJiLrRGRtnMIZhmEYxUuQWVi5t8JmGDFhs7AKi3UgFoZC5fpAxhRF5GScLW0B3lPVV+ITqWFz/kE9efqT+QzZtTM7tG7KT/81id6daxt5692pJafu1y2n4Z66706s21zXwEDfHVpx3F5dcxpWoThy9x2yNk63X892aa3fGoVl9x1bM3SPHQotRmhGHLc7j304L/L9Fxy8M89PXsDgXfO7LXOQabx3AAcCT7hOvxSRw1T1mlgla6Ds3b0dc+84AXBMYc++/YQ6ft65+oich3vvufv5uo+56vCchxUn6QbRH/nxgVk//8X/PizrZxjx8caVQzJ7KkIuP7wPlx/eJ/L9+/SoKTfySZAWyPHAvqpaBSAiI4FPcQwsGoZh1MG6EhsGQTeUauc5Tm+/2TAMw2gQBFEgtwOfisg/3dbHZOC2bAIVkQ4iMkZEZrj/7VP4G+76mSEiw123FiLyqoh8LSLT3S42wwCs5msY+SSjAlHVp4CDgReAfwOHqGq2K9FHAG+ral/gbfe8FiLSAceEykHAQOBGj6K5W1V3B/YDDhOR47KUxzAMwwhJSgUiIvsnfkBXYIH728l1y4ZTgJHu8UjgVB8/xwJjVHWlqq4CxgDDVHWjqr4LoKpbgSlA9yzlMeoJthLdMPJHukH0e9JcU+DILMLtoqqJPUUWA118/HQD5nvOF7hu1YhIO+Ak4E+pAhKRS4FLAXr27BldYsMwMmK23BoWKRWIqv4gmweLyFvAjj6Xrk0KR0UkdMe1iDQCngL+7Jqc90VVH8LZz4QBAwZYB7lhGEaOSKlARORAYL6qLnbPL8SxyDsPuElVV6Z7sKoelebZS0Skq6ouEpGuwFIfbwuBIzzn3YH3POcPATNU9d50chiGYRjxkG4Q/W84tq8QkSHAHcC/gDW4NfosGAUMd4+HA//x8TMaOEZE2ruD58e4bojIb3GmE1+ZpRyGYcSA7QfSMEinQMo9rYxzgIdU9d+qej2wS5bh3gEcLSIzgKPcc0RkgIj8A8AN+1bgE/d3i6quFJHuON1g/YApIjJVRC7JUh7DMAwjJOkG0ctFpJGqVgJDcQeiA9yXEXc3w6E+7pOASzznjwCPJPlZgNlsMwzDKDjpFMFTwFgRWQ5sAsYDiMguON1YhlF0tGrmZOkWTbKq4xiGEYB0s7BuE5G3cdaAvKla3atZBvw8H8IZDZd/XnQgbSJYzv3vI/rQskk5Zw+wpUGGETdpq2mq+pGP27fxiWMYDkfsFs0kd7PG5VyWhVVTIztsIWfDIqgxRcMwjIyYLbKGhSkQwzAMIxKmQAzDMIxImAIxDMMwImEKxDCMnGGD6A0LUyCGYRhGJEyBGIZhGJEwBWIYRs6xybwNA1MghmEYRiRMgRiGYRiRMAViGIZhRMIUiGEYhhEJs3ltROKLm48ttAhGMWLLQBoUpkCMSLRqalnHMBo61oVlGIZhRMIUiGEYOUdtIUiDwBSIYRiGEQlTIIZhGEYkTIEYhmEYkSiIAhGRDiIyRkRmuP/tU/gb7vqZISLDPe5viMhnIjJdRB4UkfL8SW8YhmFA4VogI4C3VbUv8LZ7XgsR6QDcCBwEDARu9Cias1V1H2BPoDNwVl6kNgwjLbYMpGFRKAVyCjDSPR4JnOrj51hgjKquVNVVwBhgGICqrnX9NAKaYMY/DcMw8k6hFEgXVV3kHi8Guvj46QbM95wvcN0AEJHRwFJgHfB8qoBE5FIRmSQik5YtW5a14IZhGIZDbApERN4SkS98fqd4/amqEqEFoarHAl2BpsCRafw9pKoDVHVA586dwwZjGEYE1DoFGgSx2aNQ1aNSXRORJSLSVVUXiUhXnJZEMguBIzzn3YH3ksLYLCL/wekSG5O10IZhGEZgCtWFNQpIzKoaDvzHx89o4BgRae8Onh8DjBaRVq7SQUQaAScAX+dBZsMwDMNDoRTIHcDRIjIDOMo9R0QGiMg/AFR1JXAr8In7u8V1awmMEpHPgak4rZcH8/4GhmEYDZyCmFRV1RXAUB/3ScAlnvNHgEeS/CwBDoxbRsMwDCM9thLdMIycIWIrQRoSpkAMwzCMSJgCMQzDMCJhCsQwjJzRuNzpwmpSbkVLQ8D2JTUMI2ccv1dXvlq0jv86ok+hRTHygCkQwzByRuPyMkYct3uhxTDyhLUzDcMwjEiYAjEMwzAiYQrEMAzDiIQpEMMwDCMSpkAMwzCMSJgCMQzDMCJhCsQwDMOIhCkQwzAMIxLi7CjbMBCRZcC8iLd3ApbnUJw4KRVZS0VOMFnjolRkLRU5IR5Zd1bVOnuCNygFkg0iMklVBxRajiCUiqylIieYrHFRKrKWipyQX1mtC8swDMOIhCkQwzAMIxKmQILzUKEFCEGpyFoqcoLJGhelImupyAl5lNXGQAzDMIxIWAvEMAzDiIQpEMMwDCMSpkAyICLDROQbEZkpIiOKQJ4eIvKuiHwpItNF5Jeu+00islBEprq/4z33XOPK/42IHJtneeeKyDRXpkmuWwcRGSMiM9z/9q67iMifXVk/F5H98yTjbp54myoia0XkymKJUxF5RESWisgXHrfQcSgiw13/M0RkeB5l/b2IfO3K86KItHPdK0Rkkyd+H/Tcc4Cbb2a67yN5kjV0muejjEgh6zMeOeeKyFTXPX/xqqr2S/EDyoFZQG+gCfAZ0K/AMnUF9nePWwPfAv2Am4Crffz3c+VuCvRy36c8j/LOBTolud0FjHCPRwB3usfHA68DAhwMfFygNF8M7FwscQoMAfYHvogah0AHYLb73949bp8nWY8BGrnHd3pkrfD6S3rORFd+cd/nuDzJGirN81VG+MmadP0e4IZ8x6u1QNIzEJipqrNVdSvwNHBKIQVS1UWqOsU9Xgd8BXRLc8spwNOqukVV5wAzcd6rkJwCjHSPRwKnetz/pQ4fAe1EpGueZRsKzFLVdBYL8hqnqjoOWOkjQ5g4PBYYo6orVXUVMAYYlg9ZVfVNVa10Tz8Cuqd7hitvG1X9SJ1S71/UvF+ssqYhVZrnpYxIJ6vbijgbeCrdM+KIV1Mg6ekGzPecLyB9YZ1XRKQC2A/42HX6mdtN8EiiS4PCv4MCb4rIZBG51HXroqqL3OPFQBf3uNCyApxL7Q+xGOMUwsdhMcgM8BOcmm+CXiLyqYiMFZHBrls3HPkS5FvWMGleDPE6GFiiqjM8bnmJV1MgJYqItAL+DVypqmuBvwJ9gH2BRThN2mJgkKruDxwHXCEiQ7wX3ZpQUcwlF5EmwMnAc65TscZpLYopDtMhItcClcATrtMioKeq7gdcBTwpIm0KJZ9LSaR5EudRu9KTt3g1BZKehUAPz3l3162giEhjHOXxhKq+AKCqS1R1u6pWAX+npkuloO+gqgvd/6XAi65cSxJdU+7/0mKQFUfJTVHVJVC8ceoSNg4LKrOI/Bg4Efihq/Bwu4NWuMeTccYSdnXl8nZz5U3WCGle6HhtBJwOPJNwy2e8mgJJzydAXxHp5dZOzwVGFVIgt7/zYeArVf2Dx907VnAakJitMQo4V0SaikgvoC/OQFo+ZG0pIq0TxziDqV+4MiVmAQ0H/uOR9UJ3JtHBwBpPN00+qFWTK8Y49RA2DkcDx4hIe7db5hjXLXZEZBjwf8DJqrrR495ZRMrd49448TjblXetiBzs5vcLPe8Xt6xh07zQZcRRwNeqWt01ldd4zfVsgfr2w5nV8i2OFr+2COQZhNNd8Tkw1f0dDzwGTHPdRwFdPfdc68r/DTHMZkkja2+cWSmfAdMT8Qd0BN4GZgBvAR1cdwEecGWdBgzIo6wtgRVAW49bUcQpjlJbBGzD6be+OEoc4ow/zHR/F+VR1pk44wSJ/Pqg6/cMN19MBaYAJ3meMwCn8J4F3I9rNSMPsoZO83yUEX6yuu7/BC5P8pu3eDVTJoZhGEYkrAvLMAzDiIQpEMMwDCMSpkAMwzCMSJgCMQzDMCJhCsQwDMOIhCkQo0EhIh09VkoXeyyvrheRvxRAnpPDWnAVkX+KyJkxyNJSRN5yj993F6kZRkosgxgNCnVW6O4LjuluYL2q3l1AeUZR4MWpHg4BPnQXGm7QGgOIhuGLtUAMAxCRI0TkFff4JhEZKSLjRWSeiJwuIne5+yi84ZqSSeytMNY1FDk62XKwiJSLyBx3VXg7EdmesAUmIuNEpK+I/FhE7nfd/inOHg0fiMjsRCvDvf9+cfaceAvYwRPGUNdo3jRxjP81FZEDReQF9/op4uwN0UREmonIbJ937yPOXhKPA+cDk4F93JbZDsn+DSOBKRDD8KcPcCSOccXHgXdVdS9gE3CCq0TuA85U1QOAR4DbvA9Q1e04q5b74VgQmAIMFpGmQA+tbT01QVfX74nAHa7bacBu7nMuBA4FEJFmOCuRz3FlawT8F/ApbisLx1LrF8CBwEHUWG72yjlLVffFURwDcczDX6yq+6pjw8wwfDEFYhj+vK6q23DMWpQDb7ju03A27NkN2BMY49ber8N/n4vxOJsBDQFux1EOB+LYUPLjJVWtUtUvqTHRPgR4Sh0jf98D77juuwFzVPVb93wkMMTtepolInvgKIQ/uM8Y7MqTih3cLr69cczPGEZaTIEYhj9bANSxyrpNa2z+VOHU9AWY7tbS91XVvVT1GJ/njMMpuAcCrwHtgCNIXZBv8Rxns93oOBzrwttwbGUNcn91whWRB8XZKrWvqwyHAa+IyP9kEb7RADAFYhjR+AboLCKHgGNiX0T6+/ibiNPlVKWqm3EM3F2GU8AHZRxwjjum0hX4gUeGChHZxT2/ABjrHo8HrgQ+VNVlOMYXd6PGumw1qno5cDNwK84Oda+6SvGPIWQ0GiCmQAwjAupsX3omcKeIfIajGA718bcFxxLtR67TeJy97KeFCO5FHKu7X+JsQ/qh++zNwEXAcyIyDad19KB7z8c4XWAJRfU5MM3TkkrmcFe2wdQoIcNIi1njNQzDMCJhLRDDMAwjEqZADMMwjEiYAjEMwzAiYQrEMAzDiIQpEMMwDCMSpkAMwzCMSJgCMQzDMCLx/7kKsRXhiLDaAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = np.diff(np.take(classifier_test[:, :, 1], [0,-1], axis=-1)).squeeze()\n",
    "freq = np.fft.fftfreq(data.size)\n",
    "print(data.size)\n",
    "plt.plot(np.arange(data.shape[0]), data)\n",
    "plt.xlabel(\"Time window #\")\n",
    "plt.ylabel(\"Slope within time window\")\n",
    "plt.title(\"Mean Label Within each Time Window\")\n",
    "fig, axs = plt.subplots(figsize=(30,15))\n",
    "fft_window = np.abs(np.fft.fft(data))\n",
    "\n",
    "\n",
    "axs.scatter( freq, 20*np.log(fft_window))\n",
    "\n",
    "axs.set_xlabel('Frequency [Hz]', fontsize=20);\n",
    "axs.set_ylabel('Magnitude [dB]', fontsize=20)\n",
    "axs.set_title(f\"Magnitude of FFT\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ea438b99-6e83-44b4-b591-a86793281c6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(np.sign(data), bins=3)\n",
    "plt.xlabel(\"Feel Trace Mean\")\n",
    "plt.ylabel(\"Number of occurances\")\n",
    "plt.title(\"Mean Label Within each Time Window\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "89454f08-5223-495e-b0a6-66ecb21cc697",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(classifier_train[:, :, 1].var(axis=-1))\n",
    "plt.xlabel(\"Time window #\")\n",
    "plt.ylabel(\"Variance\")\n",
    "plt.title(\"Feel Trace Variance Within each Time Window\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c1327ce4-5dd9-413b-a1e5-24a235fff0f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "class autoencoder(nn.Module):\n",
    "    def __init__(self, num_features=12):\n",
    "        super(autoencoder, self).__init__()\n",
    "        \n",
    "        self.encoder = nn.Sequential(\n",
    "            nn.Linear(64, 32),\n",
    "            nn.ReLU(True),\n",
    "            nn.Dropout(p=0.0),\n",
    "            nn.Linear(32, num_features))\n",
    "        self.decoder = nn.Sequential(\n",
    "            nn.Linear(num_features, 32),\n",
    "            nn.ReLU(True),\n",
    "            nn.Linear(32, 64),\n",
    "            nn.Sigmoid())\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.encoder(x)\n",
    "        x = self.decoder(x)\n",
    "        return x\n",
    "    \n",
    "    def encode(self, x):\n",
    "        x = self.encoder(x)\n",
    "        return x\n",
    "    \n",
    "    def decode(self, x):\n",
    "        x = self.decoder(x)\n",
    "        return x\n",
    "\n",
    "\n",
    "def encode_classifier_data(encoder_path=\"models/ae_model_100ms_subject_0_4Hz_8_features.pth\", classifier_data_in=classifier_test, encoding=8):\n",
    "    ae_model = autoencoder(encoding)\n",
    "    ae_model.load_state_dict(torch.load(encoder_path))\n",
    "    ae_model.eval()\n",
    "    with torch.no_grad():\n",
    "        prev_shape = classifier_data_in.shape\n",
    "        x = torch.from_numpy(classifier_data_in[:,:,2:]).float().reshape(-1,1,64) # eeg channels\n",
    "        x_encoded = ae_model.encode(x).reshape(prev_shape[0], prev_shape[1], encoding).numpy()\n",
    "\n",
    "        tmp_arr = np.zeros((prev_shape[0], prev_shape[1], 2 + encoding))\n",
    "        tmp_arr[:, :, :2] = classifier_data_in[:,:,:2].copy() # copy timestamps and feel trace\n",
    "        tmp_arr[:,:, 2:] = x_encoded # copy encoded eeg\n",
    "        return tmp_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "de1dbd9e-6535-448f-bbbb-6fdb6bfa98c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "encoder_path = '1_subjects_seed_55_encoder_8_feat.pth'\n",
    "\n",
    "classifier_test = encode_classifier_data(encoder_path=encoder_path, classifier_data_in=classifier_test, encoding=8)\n",
    "classifier_val = encode_classifier_data(encoder_path=encoder_path, classifier_data_in=classifier_val, encoding=8)\n",
    "classifier_train = encode_classifier_data(encoder_path=encoder_path, classifier_data_in=classifier_train, encoding=8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d73a7d15-fddf-4985-b6d3-c6ccc1aa1a85",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1781, 100, 10)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classifier_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7279b37c-c7fd-47c7-9435-d3983a66c293",
   "metadata": {},
   "source": [
    "#### Classifier Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e928e8b0-ce5d-41d5-80fd-0fb4da63c61f",
   "metadata": {},
   "outputs": [],
   "source": [
    "class lstm_classifier(nn.Module):\n",
    "    def __init__(self, num_features=12, num_hidden=32, dropout=0.2, n_labels=3):\n",
    "        super(lstm_classifier, self).__init__()\n",
    "        \n",
    "        self.hidden_size = num_hidden*2\n",
    "        self.num_features = num_features\n",
    "        self.input_size = num_hidden\n",
    "        self.n_classses = n_labels\n",
    "        \n",
    "        self.lstm_1 = nn.LSTM(\n",
    "            input_size =  self.num_features,\n",
    "            hidden_size = self.hidden_size,\n",
    "            num_layers = 1,\n",
    "            batch_first=True\n",
    "        )\n",
    "        \n",
    "        self.lstm_2 = nn.LSTM(\n",
    "            input_size =  self.hidden_size,\n",
    "            hidden_size = self.input_size,\n",
    "            num_layers = 1,\n",
    "            batch_first=True\n",
    "        )\n",
    "        \n",
    "        self.classify = nn.Sequential(\n",
    "            nn.Linear(self.input_size, 128),\n",
    "            nn.ReLU(),\n",
    "            nn.Dropout(p=dropout),\n",
    "            nn.Linear(128, self.n_classses))\n",
    "\n",
    "    \n",
    "    def forward(self,x):\n",
    "        x, (h_t, c_t) = self.lstm_1(x)\n",
    "        x, (h_t, c_t) = self.lstm_2(x)\n",
    "        x = self.classify(h_t[-1]) # classify last hidden timestep\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "002f443c-09e4-4aa9-a08d-1c435377ed00",
   "metadata": {},
   "outputs": [],
   "source": [
    "def stress_2_label(mean_stress, n_labels=3):\n",
    "    # value is in [0,1] so map to [0,labels-1] and discretize\n",
    "    return np.sign(mean_stress) + 1\n",
    "\n",
    "class classifier_dataset(torch.utils.data.Dataset):\n",
    "    def __init__(self, X, n_labels=3):\n",
    "        'Initialization'\n",
    "        self.x = X\n",
    "        self.n_labels = n_labels\n",
    "\n",
    "    def __len__(self):\n",
    "        'Denotes the total number of samples'\n",
    "        return len(self.x)\n",
    "\n",
    "    def __getitem__(self, index):\n",
    "        'Generates one sample of data'\n",
    "        # Select sample\n",
    "        x = torch.from_numpy(self.x[index,:,2:]).float() # eeg channels\n",
    "        y = np.diff(np.take(self.x[index, :, 1], [0,-1], axis=-1)).squeeze() # subtract last index from first index\n",
    "        y = np.array(stress_2_label(y)).astype(int)\n",
    "        y = torch.from_numpy(y) # feel trace labels int value [0,n_labels]\n",
    "        return x, y"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61f08170-7926-49da-a713-0d44a466bdf3",
   "metadata": {},
   "source": [
    "#### Training Loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "50feca63-58aa-4794-8c74-65564976fad8",
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(model, num_epochs=5, batch_size=1, learning_rate=1e-3, train_split=classifier_train, test_split=classifier_val, n_labels=5):\n",
    "    device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "    model.to(device)\n",
    "    \n",
    "    optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate, weight_decay=1e-5)\n",
    "\n",
    "    criterion = nn.CrossEntropyLoss()\n",
    "    train_dataset = classifier_dataset(train_split, n_labels=n_labels)\n",
    "    test_dataset = classifier_dataset(test_split, n_labels=n_labels)\n",
    "    \n",
    "    # figure out class distribution to over sample less represented classes\n",
    "    \n",
    "    \n",
    "    \n",
    "    train_labels = stress_2_label(np.diff(np.take(train_split[:,:,1], [0,-1], axis=-1)).squeeze()).astype(int)\n",
    "    test_labels = stress_2_label(np.diff(np.take(test_split[:,:,1], [0,-1], axis=-1)).squeeze()).astype(int)\n",
    "    \n",
    "    # get the weights of each class as 1/occurance\n",
    "    train_class_weight= 1/np.bincount(train_labels, minlength=n_labels)\n",
    "    test_class_weight = 1/np.bincount(test_labels, minlength=n_labels)\n",
    "    \n",
    "    # get the per sample weight, which is the likelihood os sampling\n",
    "    train_sample_weights = [train_class_weight[x] for x in train_labels]\n",
    "    test_sample_weights = [test_class_weight[x] for x in test_labels]\n",
    "    \n",
    "    # sampler\n",
    "    train_sampler = torch.utils.data.WeightedRandomSampler(train_sample_weights, len(train_sample_weights), replacement=True)\n",
    "    test_sampler = torch.utils.data.WeightedRandomSampler(test_sample_weights,  len(test_sample_weights), replacement=True)\n",
    "    \n",
    "        \n",
    "    train_loader = torch.utils.data.DataLoader(train_dataset, \n",
    "                                               batch_size=batch_size,\n",
    "                                               num_workers=8,\n",
    "                                               sampler=train_sampler)\n",
    "    \n",
    "    test_loader = torch.utils.data.DataLoader(test_dataset, \n",
    "                                               batch_size=batch_size,\n",
    "                                               num_workers=8,\n",
    "                                               sampler=test_sampler)\n",
    "    \n",
    "    train_metrics = []\n",
    "    test_metrics = []\n",
    "    for epoch in range(num_epochs):\n",
    "        \n",
    "        # reset metrics\n",
    "        cur_train_acc = 0 # accuracy\n",
    "        cur_train_pc = 0 # precision\n",
    "        cur_train_rc = 0 # recall\n",
    "        cur_train_f1 = 0 # f1\n",
    "        cur_train_loss = 0 # loss\n",
    "        \n",
    "        # set to train mode\n",
    "        model.train()\n",
    "        \n",
    "        # loop over dataset\n",
    "        for data in tqdm(train_loader):\n",
    "            x, y = data\n",
    "            x = x.to(device)\n",
    "            y = y.to(device)\n",
    "            \n",
    "            y_hat = model(x)\n",
    "            loss = criterion(y_hat, y)\n",
    "            \n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "            optimizer.zero_grad()\n",
    "            \n",
    "            y_hat_np = F.softmax(y_hat.detach(), dim=1).argmax(axis=1).cpu().numpy().squeeze().reshape(-1,) # predictions\n",
    "            y_np = y.detach().cpu().numpy().squeeze().reshape(-1,) # labels\n",
    "            \n",
    "            # metrics\n",
    "            prf = precision_recall_fscore_support(y_np, y_hat_np, average='macro', zero_division=0)\n",
    "            \n",
    "            cur_train_acc += np.mean(y_hat_np == y_np)\n",
    "            cur_train_pc += prf[0]\n",
    "            cur_train_rc += prf[1]\n",
    "            cur_train_f1 += prf[2]\n",
    "            cur_train_loss += loss.detach().cpu()\n",
    "        \n",
    "        # average metrics over loop\n",
    "        train_loop_size = len(train_loader)\n",
    "        cur_train_acc  = cur_train_acc/train_loop_size\n",
    "        cur_train_pc   = cur_train_pc/train_loop_size\n",
    "        cur_train_rc   = cur_train_rc/train_loop_size\n",
    "        cur_train_f1   = cur_train_f1/train_loop_size\n",
    "        cur_train_loss = cur_train_loss/train_loop_size\n",
    "        \n",
    "        \n",
    "        train_metrics.append([cur_train_acc, cur_train_pc, cur_train_rc, cur_train_f1, cur_train_loss])\n",
    "        \n",
    "        with torch.no_grad():\n",
    "            \n",
    "            # reset metrics\n",
    "            cur_test_acc = 0 # accuracy\n",
    "            cur_test_pc = 0 # precision\n",
    "            cur_test_rc = 0 # recall\n",
    "            cur_test_f1 = 0 # f1\n",
    "            cur_test_loss = 0 # loss\n",
    "            \n",
    "            # set to evaluate mode, ignores dropout\n",
    "            model.eval()\n",
    "            \n",
    "            # loop over dataset\n",
    "            for data in tqdm(test_loader):\n",
    "                x, y = data\n",
    "                x = x.to(device)\n",
    "                y = y.to(device)\n",
    "                \n",
    "                y_hat = model(x)\n",
    "                loss = criterion(y_hat, y)\n",
    "                \n",
    "                y_hat_np = F.softmax(y_hat.detach(), dim=1).argmax(axis=1).cpu().numpy().squeeze().reshape(-1,)\n",
    "                y_np = y.detach().cpu().numpy().squeeze().reshape(-1,)\n",
    "                \n",
    "                # metrics\n",
    "                prf = precision_recall_fscore_support(y_np, y_hat_np, average='macro', zero_division=0)\n",
    "                \n",
    "                cur_test_acc += np.mean(y_hat_np == y_np)\n",
    "                cur_test_pc += prf[0]\n",
    "                cur_test_rc += prf[1]\n",
    "                cur_test_f1 += prf[2]\n",
    "                cur_test_loss += loss.detach().cpu()\n",
    "                \n",
    "                \n",
    "            # average metrics over loop\n",
    "            test_loop_size = len(test_loader)\n",
    "            cur_test_acc  = cur_test_acc/test_loop_size\n",
    "            cur_test_pc   = cur_test_pc/test_loop_size\n",
    "            cur_test_rc   = cur_test_rc/test_loop_size\n",
    "            cur_test_f1   = cur_test_f1/test_loop_size\n",
    "            cur_test_loss = cur_test_loss/test_loop_size\n",
    "        \n",
    "            test_metrics.append([cur_test_acc, cur_test_pc, cur_test_rc, cur_test_f1, cur_test_loss])\n",
    "            \n",
    "        print(f'Epoch:{epoch+1},'\\\n",
    "              f'\\nTrain Loss:{cur_train_loss},'\\\n",
    "              f'\\nTrain Accuracy:{cur_train_acc},'\\\n",
    "              f'\\nTrain Recall: {cur_train_rc},'\\\n",
    "              f'\\nTrain precision: {cur_train_pc},' \\\n",
    "              f'\\nTrain F1-Score:{cur_train_f1},' \\\n",
    "              f'\\nTest Loss:{cur_test_loss},' \\\n",
    "              f'\\nTest Accuracy:{cur_test_acc},' \\\n",
    "              f'\\nTest Recall: {cur_test_rc},' \\\n",
    "              f'\\nTest precision: {cur_test_pc},' \\\n",
    "              f'\\nTest F1-Score:{cur_test_f1}')\n",
    "        \n",
    "        # if cur_test_f1 > 0.4:\n",
    "        #     break\n",
    "        \n",
    "    return train_metrics, test_metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a929a99-df1c-43f0-aecd-645c6babadd1",
   "metadata": {},
   "source": [
    "#### Run Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "dca31bbb-3fea-4c74-95f1-13c438964eab",
   "metadata": {},
   "outputs": [
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      "Epoch:1,\n",
      "Train Loss:1.099919080734253,\n",
      "Train Accuracy:0.3269770936981758,\n",
      "Train Recall: 0.33267809413101,\n",
      "Train precision: 0.2535486067578463,\n",
      "Train F1-Score:0.2514866217185507,\n",
      "Test Loss:1.0985876321792603,\n",
      "Test Accuracy:0.3545879289215686,\n",
      "Test Recall: 0.35718319115660807,\n",
      "Test precision: 0.23523502739485144,\n",
      "Test F1-Score:0.28107032319857256\n"
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      "Train Loss:1.0989410877227783,\n",
      "Train Accuracy:0.33261297678275287,\n",
      "Train Recall: 0.3342344428495779,\n",
      "Train precision: 0.2575334058922994,\n",
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      "Train Loss:1.097549319267273,\n",
      "Train Accuracy:0.34031405472636816,\n",
      "Train Recall: 0.3406343674771385,\n",
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      "Train Accuracy:0.3538246268656717,\n",
      "Train Recall: 0.3538337837117145,\n",
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      "Train Accuracy:0.33818407960199004,\n",
      "Train Recall: 0.3389823632962519,\n",
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      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 45/45 [00:02<00:00, 20.54it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch:46,\n",
      "Train Loss:1.0943784713745117,\n",
      "Train Accuracy:0.35155213515754563,\n",
      "Train Recall: 0.35497441125690865,\n",
      "Train precision: 0.3835218898770831,\n",
      "Train F1-Score:0.3059620706077708,\n",
      "Test Loss:1.098357915878296,\n",
      "Test Accuracy:0.33926930147058826,\n",
      "Test Recall: 0.35040821351113993,\n",
      "Test precision: 0.3494603949102267,\n",
      "Test F1-Score:0.31044946484347796\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 45/45 [00:02<00:00, 20.60it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch:47,\n",
      "Train Loss:1.092740535736084,\n",
      "Train Accuracy:0.3761582711442786,\n",
      "Train Recall: 0.37484275950477913,\n",
      "Train precision: 0.38733369809136586,\n",
      "Train F1-Score:0.348969048215584,\n",
      "Test Loss:1.0987894535064697,\n",
      "Test Accuracy:0.32693780637254904,\n",
      "Test Recall: 0.3254081026218555,\n",
      "Test precision: 0.3305955112156999,\n",
      "Test F1-Score:0.2885315948514263\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 45/45 [00:02<00:00, 20.47it/s]\n",
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 12/12 [00:00<00:00, 29.31it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch:48,\n",
      "Train Loss:1.0936824083328247,\n",
      "Train Accuracy:0.358180451907131,\n",
      "Train Recall: 0.35735774563073136,\n",
      "Train precision: 0.38209772007102816,\n",
      "Train F1-Score:0.31985640718670344,\n",
      "Test Loss:1.1000176668167114,\n",
      "Test Accuracy:0.3370098039215686,\n",
      "Test Recall: 0.33305448452452413,\n",
      "Test precision: 0.3551480044062392,\n",
      "Test F1-Score:0.3050298069765051\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 45/45 [00:02<00:00, 20.58it/s]\n",
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 12/12 [00:00<00:00, 29.39it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch:49,\n",
      "Train Loss:1.0927213430404663,\n",
      "Train Accuracy:0.36029487976782754,\n",
      "Train Recall: 0.36465388997125736,\n",
      "Train precision: 0.3657224812398292,\n",
      "Train F1-Score:0.3375453024845253,\n",
      "Test Loss:1.0988787412643433,\n",
      "Test Accuracy:0.3588388480392157,\n",
      "Test Recall: 0.36252723080970345,\n",
      "Test precision: 0.3426569863678015,\n",
      "Test F1-Score:0.3434602218740452\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 45/45 [00:02<00:00, 20.52it/s]\n",
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 12/12 [00:00<00:00, 29.14it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch:50,\n",
      "Train Loss:1.0930527448654175,\n",
      "Train Accuracy:0.36140132669983416,\n",
      "Train Recall: 0.36185220928502154,\n",
      "Train precision: 0.34601223818425847,\n",
      "Train F1-Score:0.3329012401457764,\n",
      "Test Loss:1.0972074270248413,\n",
      "Test Accuracy:0.36833639705882354,\n",
      "Test Recall: 0.3606786544807022,\n",
      "Test precision: 0.33204185779709616,\n",
      "Test F1-Score:0.29461560534216413\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "time_window=100 # 100ms, non - overlapping\n",
    "num_features=8 # 64 channels for input features, eeg input\n",
    "num_hidden = 32 # LSTM parameter, the larger the more complicated the model\n",
    "n_classes = 3 # number of ouputs for our classifier, split the range [0,1] into n_classes\n",
    "\n",
    "\n",
    "classifier_model = lstm_classifier(num_features=num_features, num_hidden=num_hidden, dropout=0.0, n_labels=n_classes)\n",
    "n_epochs=50\n",
    "train_metrics, test_metrics = train(classifier_model, n_epochs, batch_size=128, learning_rate=1e-3, train_split=classifier_train, test_split=classifier_val, n_labels=n_classes)\n",
    "\n",
    "\n",
    "#model.load_state_dict(torch.load(\"cnn_ae_model.pth\"))\n",
    "#model_path = \"models/classify_model.pth\"\n",
    "#torch.save(classifier_model.state_dict(), model_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "259a39ea-1836-4444-977a-b7d8ef51ea77",
   "metadata": {},
   "source": [
    "#### Visualize Train Graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b367da94-2295-41d9-9cda-074128dd1e0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2400x2400 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(figsize=(20,20), dpi=120)\n",
    "axs.grid(True)\n",
    "axs.set_title(\"F1-Score During Training\", fontsize=20)\n",
    "axs.set_xlabel(\"Epochs\", fontsize=15)\n",
    "axs.set_ylabel(\"F1-Score\", fontsize=15)\n",
    "\n",
    "n_epohchs = np.arange(len(train_metrics)) + 1\n",
    "axs.plot(n_epohchs, [x[-2] for x in test_metrics], 'g--', label=\"Validation F1-Score\", alpha=0.7)\n",
    "axs.plot(n_epohchs, [x[-2] for x in train_metrics], 'r--', label=\"Train F1-Score\", alpha=0.7)\n",
    "\n",
    "axs.legend(loc='best', fontsize=15)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d3dcfde-47dd-41e8-8bfe-e251b62231ff",
   "metadata": {},
   "source": [
    "#### Test on unseen data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "eae76944-503d-42ef-b3fa-ec9ecf39cc18",
   "metadata": {},
   "outputs": [],
   "source": [
    "with torch.no_grad():\n",
    "    classifier_model.eval()\n",
    "    x_encoded  = torch.from_numpy(classifier_test[:,:,2:]).float().cuda() # eeg channels\n",
    "    y = stress_2_label(np.diff(np.take(classifier_test[:,:,1], [0,-1], axis=-1)).squeeze(), n_classes).astype(int)\n",
    "    y_hat = F.softmax(classifier_model(x_encoded).detach(), dim=-1).cpu().numpy()\n",
    "    labels = y\n",
    "    preds = y_hat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "c017c5c8-c5b2-474b-ad40-fe514bcd0491",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precision: 0.45047853203146837\n",
      "Recall: 0.36841607355270334\n",
      "F1-Score: 0.30980644703514687\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x2400 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(figsize=(20,20), dpi=120)\n",
    "axs.set_title(\"LSTM Emotional Transition Confusion Matrix\", fontsize=20)\n",
    "axs.set_xlabel(\"Predicted Label\", fontsize=15)\n",
    "axs.set_ylabel(\"True Label\", fontsize=15)\n",
    "\n",
    "\n",
    "prf = precision_recall_fscore_support(labels, np.array([x.argmax() for x in preds]), average='macro', zero_division=0)\n",
    "print(f\"Precision: {prf[0]}\")\n",
    "print(f\"Recall: {prf[1]}\")\n",
    "print(f\"F1-Score: {prf[2]}\")\n",
    "\n",
    "cm = confusion_matrix(labels, [x.argmax() for x in preds], labels=np.arange(n_classes), normalize='true')\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=np.arange(n_classes))\n",
    "\n",
    "disp.plot(ax=axs)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f0457e1c-76bd-442c-b226-93f48dd1c5c3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}