{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "569af8b6-a7c4-4f71-8be6-693ece134668",
   "metadata": {},
   "source": [
    "# Correcting for Imbalanced Training Data\n",
    "\n",
    "In the results of the previous notebook you can see many instances where a 'W' image was predicted to be some other letter, i.e. poor recall. There may yet be some remaining ways to improve the recall of the model's predictions. One difference we should note is that in our training data a W is about as likely as any other character. Whereas in our target data, the W is by far the most likely character. In these test pages the W is in 142/150 images, for instance. That is a big difference that the predictive model does not take into account.\n",
    "\n",
    "In order to make the model's predictions closer to the reality of the target data, we must correct the imbalance between training and target data. We followed a [Keras guide](https://www.tensorflow.org/tutorials/structured_data/imbalanced_data) to calculate an initial bias setting for the predictive model.\n",
    "\n",
    "Along the way we are also going to simplify the output of our predictive model. Thus far we have been predicting which letter of the alphabet is present in the image, as is the case in any tutorial on recognizing handwritten characters. Instead, we will change our output to a single ratio, the confidence the model has that the image is a W. This allows us to focus on the precision and recall of that since determination and better matches our use case.\n",
    "\n",
    "The first thing we have to do is alter our training and test data such that instead of 26 different classification labels, we only have 1 for a W and 0 for not a W. We can do this at the same time as we are transposing the character images to a readable orientation. Look for `label == 23` in the code below to find this adjustment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7e457e0a-731e-4a47-833d-4903b617d651",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-01-16 12:00:55.450194: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
      "2025-01-16 12:00:55.450427: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
      "2025-01-16 12:00:55.452407: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
      "2025-01-16 12:00:55.477567: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2025-01-16 12:00:55.991433: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final element_spec (TensorSpec(shape=(None, 28, 28, 1), dtype=tf.float32, name=None), TensorSpec(shape=(None, 1), dtype=tf.int64, name=None))\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-01-16 12:00:56.457319: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:282] failed call to cuInit: CUDA_ERROR_COMPAT_NOT_SUPPORTED_ON_DEVICE: forward compatibility was attempted on non supported HW\n",
      "2025-01-16 12:00:56.457338: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:134] retrieving CUDA diagnostic information for host: graeber\n",
      "2025-01-16 12:00:56.457342: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:141] hostname: graeber\n",
      "2025-01-16 12:00:56.457427: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:165] libcuda reported version is: 565.77.0\n",
      "2025-01-16 12:00:56.457437: I external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:169] kernel reported version is: 560.35.3\n",
      "2025-01-16 12:00:56.457439: E external/local_xla/xla/stream_executor/cuda/cuda_diagnostics.cc:251] kernel version 560.35.3 does not match DSO version 565.77.0 -- cannot find working devices in this configuration\n"
     ]
    }
   ],
   "source": [
    "# Load the segmentation code that we developed in that notebook\n",
    "with open(\"segmentation.py\") as f:\n",
    "    code = f.read()\n",
    "exec(code)\n",
    "\n",
    "import tensorflow_datasets as tfds\n",
    "import tensorflow as tf\n",
    "(ds_train, ds_test), ds_info = tfds.load(\n",
    "    'emnist/letters',\n",
    "    split=['train', 'test'],\n",
    "    shuffle_files=True,\n",
    "    as_supervised=True,\n",
    "    with_info=True,\n",
    ")\n",
    "\n",
    "ds_train_readable = ds_train.map(\n",
    "  lambda img, label: (tf.transpose(img, perm=[1,0,2]), tf.cast([(label == 23)], tf.int64)),\n",
    "  num_parallel_calls=tf.data.AUTOTUNE,\n",
    "  deterministic=True)\n",
    "\n",
    "def normalize_img(image, label):\n",
    "  return tf.cast(image, tf.float32) / 255., label\n",
    "ds_train_readable_float = ds_train_readable.map(normalize_img, num_parallel_calls=tf.data.AUTOTUNE)\n",
    "\n",
    "def set_shapes(image, label):\n",
    "  image.set_shape([28, 28, 1])\n",
    "  label.set_shape([1])\n",
    "  return image, label\n",
    "ds_train_final = ds_train_readable_float.map(set_shapes, num_parallel_calls=tf.data.AUTOTUNE)\n",
    "\n",
    "# Some additional dataset setup steps\n",
    "ds_train_final = ds_train_final.cache()\n",
    "ds_train_final = ds_train_final.batch(400)  # This changes the shape of the data, so call it after all mapped functions..\n",
    "ds_train_final = ds_train_final.prefetch(tf.data.AUTOTUNE)\n",
    "print(\"final element_spec\", ds_train_final.element_spec)\n",
    "\n",
    "# Then we need to apply the same functions and settings to the test dataset\n",
    "ds_test_readable = ds_test.map(\n",
    "  lambda img, label: (tf.transpose(img, perm=[1,0,2]), tf.cast([(label == 23)], tf.int64)),\n",
    "  num_parallel_calls=tf.data.AUTOTUNE, \n",
    "  deterministic=True)\n",
    "\n",
    "ds_test_readable_float = ds_test_readable.map(normalize_img, num_parallel_calls=tf.data.AUTOTUNE)\n",
    "ds_test_final = ds_test_readable_float.map(set_shapes, num_parallel_calls=tf.data.AUTOTUNE)\n",
    "ds_test_final = ds_test_final.batch(400)\n",
    "ds_test_final = ds_test_final.cache()\n",
    "ds_test_final = ds_test_final.prefetch(tf.data.AUTOTUNE)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a674691-85ce-4237-a976-4c8326f7410d",
   "metadata": {},
   "source": [
    "Now that the training labels are saying W or not W, we can do some math to figure out the initial bias of the training data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f47e9b72-1ef4-4d57-a373-27ab26b43f5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-01-16 12:01:01.988707: E tensorflow/core/util/util.cc:131] oneDNN supports DT_UINT8 only on platforms with AVX-512. Falling back to the default Eigen-based implementation if present.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 1]\n",
      "Examples:\n",
      "    Total: 88800\n",
      "    Positive: 3423 (3.85% of total)\n",
      "Initial bias: [-3.21655938]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-01-16 12:01:04.314596: W tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: OUT_OF_RANGE: End of sequence\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "labels, counts = np.unique(np.fromiter(ds_train_readable.map(lambda x, y: y), np.int32), return_counts=True)\n",
    "pos = counts[1]\n",
    "neg = counts[0]\n",
    "total = neg + pos\n",
    "print(labels)\n",
    "print(f'Examples:\\n    Total: {total}\\n    Positive: {pos} ({100*pos/total:.2f}% of total)')\n",
    "\n",
    "initial_bias = np.log([pos/neg])\n",
    "print(f'Initial bias: {initial_bias}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "332a9474-d201-45d3-8756-1b34443fd789",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 21ms/step - Brier score: 0.0199 - accuracy: 0.9759 - auc: 0.9426 - cross entropy: 0.0788 - fn: 781.1031 - fp: 143.6188 - loss: 0.0788 - prc: 0.6560 - precision: 0.7772 - recall: 0.4263 - tn: 42939.7500 - tp: 933.7354 - val_Brier score: 8.4940e-04 - val_accuracy: 0.9994 - val_auc: 0.0000e+00 - val_cross entropy: 0.0059 - val_fn: 0.0000e+00 - val_fp: 9.0000 - val_loss: 0.0059 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14791.0000 - val_tp: 0.0000e+00\n",
      "Epoch 2/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 19ms/step - Brier score: 0.0066 - accuracy: 0.9916 - auc: 0.9944 - cross entropy: 0.0251 - fn: 248.3946 - fp: 115.6951 - loss: 0.0251 - prc: 0.9482 - precision: 0.9213 - recall: 0.8489 - tn: 42967.6719 - tp: 1466.4440 - val_Brier score: 4.3820e-04 - val_accuracy: 0.9996 - val_auc: 0.0000e+00 - val_cross entropy: 0.0030 - val_fn: 0.0000e+00 - val_fp: 6.0000 - val_loss: 0.0030 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14794.0000 - val_tp: 0.0000e+00\n",
      "Epoch 3/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 19ms/step - Brier score: 0.0050 - accuracy: 0.9937 - auc: 0.9948 - cross entropy: 0.0192 - fn: 189.3722 - fp: 88.7623 - loss: 0.0192 - prc: 0.9664 - precision: 0.9450 - recall: 0.8857 - tn: 42994.6055 - tp: 1525.4663 - val_Brier score: 5.4956e-04 - val_accuracy: 0.9995 - val_auc: 0.0000e+00 - val_cross entropy: 0.0033 - val_fn: 0.0000e+00 - val_fp: 8.0000 - val_loss: 0.0033 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14792.0000 - val_tp: 0.0000e+00\n",
      "Epoch 4/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 19ms/step - Brier score: 0.0044 - accuracy: 0.9944 - auc: 0.9947 - cross entropy: 0.0172 - fn: 161.6099 - fp: 83.4709 - loss: 0.0172 - prc: 0.9720 - precision: 0.9476 - recall: 0.9023 - tn: 42999.8984 - tp: 1553.2288 - val_Brier score: 2.0773e-04 - val_accuracy: 0.9998 - val_auc: 0.0000e+00 - val_cross entropy: 0.0014 - val_fn: 0.0000e+00 - val_fp: 3.0000 - val_loss: 0.0014 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14797.0000 - val_tp: 0.0000e+00\n",
      "Epoch 5/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 19ms/step - Brier score: 0.0038 - accuracy: 0.9953 - auc: 0.9964 - cross entropy: 0.0152 - fn: 140.2556 - fp: 69.6906 - loss: 0.0152 - prc: 0.9765 - precision: 0.9580 - recall: 0.9148 - tn: 43013.6758 - tp: 1574.5830 - val_Brier score: 1.7359e-04 - val_accuracy: 0.9998 - val_auc: 0.0000e+00 - val_cross entropy: 0.0012 - val_fn: 0.0000e+00 - val_fp: 3.0000 - val_loss: 0.0012 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14797.0000 - val_tp: 0.0000e+00\n",
      "Epoch 6/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 19ms/step - Brier score: 0.0033 - accuracy: 0.9961 - auc: 0.9966 - cross entropy: 0.0132 - fn: 118.4036 - fp: 57.2152 - loss: 0.0132 - prc: 0.9809 - precision: 0.9654 - recall: 0.9296 - tn: 43026.1523 - tp: 1596.4349 - val_Brier score: 2.0584e-04 - val_accuracy: 0.9998 - val_auc: 0.0000e+00 - val_cross entropy: 0.0012 - val_fn: 0.0000e+00 - val_fp: 3.0000 - val_loss: 0.0012 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14797.0000 - val_tp: 0.0000e+00\n",
      "Epoch 7/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - Brier score: 0.0031 - accuracy: 0.9959 - auc: 0.9973 - cross entropy: 0.0122 - fn: 116.6099 - fp: 64.6143 - loss: 0.0122 - prc: 0.9846 - precision: 0.9599 - recall: 0.9301 - tn: 43018.7539 - tp: 1598.2288 - val_Brier score: 3.4559e-04 - val_accuracy: 0.9995 - val_auc: 0.0000e+00 - val_cross entropy: 0.0018 - val_fn: 0.0000e+00 - val_fp: 7.0000 - val_loss: 0.0018 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14793.0000 - val_tp: 0.0000e+00\n",
      "Epoch 8/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - Brier score: 0.0029 - accuracy: 0.9964 - auc: 0.9964 - cross entropy: 0.0118 - fn: 107.6099 - fp: 50.7623 - loss: 0.0118 - prc: 0.9844 - precision: 0.9684 - recall: 0.9358 - tn: 43032.6055 - tp: 1607.2288 - val_Brier score: 1.2615e-04 - val_accuracy: 0.9999 - val_auc: 0.0000e+00 - val_cross entropy: 8.4333e-04 - val_fn: 0.0000e+00 - val_fp: 1.0000 - val_loss: 8.4332e-04 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14799.0000 - val_tp: 0.0000e+00\n",
      "Epoch 9/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - Brier score: 0.0028 - accuracy: 0.9965 - auc: 0.9979 - cross entropy: 0.0114 - fn: 93.6143 - fp: 58.8520 - loss: 0.0114 - prc: 0.9859 - precision: 0.9651 - recall: 0.9429 - tn: 43024.5156 - tp: 1621.2242 - val_Brier score: 1.6151e-04 - val_accuracy: 0.9999 - val_auc: 0.0000e+00 - val_cross entropy: 9.6865e-04 - val_fn: 0.0000e+00 - val_fp: 1.0000 - val_loss: 9.6865e-04 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14799.0000 - val_tp: 0.0000e+00\n",
      "Epoch 10/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - Brier score: 0.0025 - accuracy: 0.9967 - auc: 0.9971 - cross entropy: 0.0102 - fn: 99.7803 - fp: 44.9058 - loss: 0.0102 - prc: 0.9879 - precision: 0.9727 - recall: 0.9381 - tn: 43038.4609 - tp: 1615.0583 - val_Brier score: 2.1399e-04 - val_accuracy: 0.9997 - val_auc: 0.0000e+00 - val_cross entropy: 0.0011 - val_fn: 0.0000e+00 - val_fp: 5.0000 - val_loss: 0.0011 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14795.0000 - val_tp: 0.0000e+00\n",
      "Epoch 11/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - Brier score: 0.0025 - accuracy: 0.9970 - auc: 0.9971 - cross entropy: 0.0100 - fn: 88.3677 - fp: 44.6547 - loss: 0.0100 - prc: 0.9872 - precision: 0.9754 - recall: 0.9462 - tn: 43038.7148 - tp: 1626.4708 - val_Brier score: 3.0240e-04 - val_accuracy: 0.9995 - val_auc: 0.0000e+00 - val_cross entropy: 0.0015 - val_fn: 0.0000e+00 - val_fp: 7.0000 - val_loss: 0.0015 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14793.0000 - val_tp: 0.0000e+00\n",
      "Epoch 12/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - Brier score: 0.0022 - accuracy: 0.9973 - auc: 0.9973 - cross entropy: 0.0092 - fn: 82.7040 - fp: 37.9821 - loss: 0.0092 - prc: 0.9886 - precision: 0.9783 - recall: 0.9500 - tn: 43045.3867 - tp: 1632.1345 - val_Brier score: 1.9065e-04 - val_accuracy: 0.9997 - val_auc: 0.0000e+00 - val_cross entropy: 9.9050e-04 - val_fn: 0.0000e+00 - val_fp: 5.0000 - val_loss: 9.9050e-04 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14795.0000 - val_tp: 0.0000e+00\n",
      "Epoch 13/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 20ms/step - Brier score: 0.0022 - accuracy: 0.9971 - auc: 0.9975 - cross entropy: 0.0092 - fn: 83.0673 - fp: 45.0269 - loss: 0.0092 - prc: 0.9890 - precision: 0.9733 - recall: 0.9498 - tn: 43038.3398 - tp: 1631.7712 - val_Brier score: 2.0730e-04 - val_accuracy: 0.9996 - val_auc: 0.0000e+00 - val_cross entropy: 0.0011 - val_fn: 0.0000e+00 - val_fp: 6.0000 - val_loss: 0.0011 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14794.0000 - val_tp: 0.0000e+00\n",
      "Epoch 14/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 20ms/step - Brier score: 0.0023 - accuracy: 0.9972 - auc: 0.9969 - cross entropy: 0.0094 - fn: 79.6637 - fp: 39.2915 - loss: 0.0094 - prc: 0.9886 - precision: 0.9757 - recall: 0.9501 - tn: 43044.0781 - tp: 1635.1749 - val_Brier score: 3.5513e-04 - val_accuracy: 0.9993 - val_auc: 0.0000e+00 - val_cross entropy: 0.0016 - val_fn: 0.0000e+00 - val_fp: 10.0000 - val_loss: 0.0016 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14790.0000 - val_tp: 0.0000e+00\n",
      "Epoch 15/15\n",
      "\u001b[1m222/222\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - Brier score: 0.0020 - accuracy: 0.9975 - auc: 0.9969 - cross entropy: 0.0083 - fn: 73.7309 - fp: 40.7444 - loss: 0.0083 - prc: 0.9897 - precision: 0.9761 - recall: 0.9568 - tn: 43042.6250 - tp: 1641.1077 - val_Brier score: 1.4504e-04 - val_accuracy: 0.9998 - val_auc: 0.0000e+00 - val_cross entropy: 8.0082e-04 - val_fn: 0.0000e+00 - val_fp: 3.0000 - val_loss: 8.0082e-04 - val_prc: 0.0000e+00 - val_precision: 0.0000e+00 - val_recall: 0.0000e+00 - val_tn: 14797.0000 - val_tp: 0.0000e+00\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.src.callbacks.history.History at 0x7d7f4cb49d80>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tensorflow import keras\n",
    "\n",
    "METRICS = [\n",
    "      keras.metrics.BinaryCrossentropy(name='cross entropy'),  # same as model's loss\n",
    "      keras.metrics.MeanSquaredError(name='Brier score'),\n",
    "      keras.metrics.TruePositives(name='tp'),\n",
    "      keras.metrics.FalsePositives(name='fp'),\n",
    "      keras.metrics.TrueNegatives(name='tn'),\n",
    "      keras.metrics.FalseNegatives(name='fn'), \n",
    "      keras.metrics.BinaryAccuracy(name='accuracy'),\n",
    "      keras.metrics.Precision(name='precision'),\n",
    "      keras.metrics.Recall(name='recall'),\n",
    "      keras.metrics.AUC(name='auc'),\n",
    "      keras.metrics.AUC(name='prc', curve='PR'), # precision-recall curve\n",
    "]\n",
    "\n",
    "def make_conv_model(metrics=METRICS, output_bias=None):\n",
    "    if output_bias is not None:\n",
    "        output_bias = keras.initializers.Constant(output_bias)\n",
    "    model = tf.keras.models.Sequential([\n",
    "        keras.Input(shape=(28, 28, 1)),\n",
    "        keras.layers.Conv2D(32, kernel_size=(3, 3), activation=\"relu\"),\n",
    "        keras.layers.MaxPooling2D(pool_size=(2, 2)),\n",
    "        keras.layers.Conv2D(64, kernel_size=(3, 3), activation=\"relu\"),\n",
    "        keras.layers.MaxPooling2D(pool_size=(2, 2)),\n",
    "        keras.layers.Flatten(),\n",
    "        keras.layers.Dropout(0.5),\n",
    "        keras.layers.Dense(1, activation=\"sigmoid\", bias_initializer=output_bias)\n",
    "    ])\n",
    "\n",
    "    model.compile(\n",
    "        optimizer=keras.optimizers.Adam(learning_rate=1e-3),\n",
    "        loss=keras.losses.BinaryCrossentropy(from_logits=False),\n",
    "        metrics=metrics)\n",
    "\n",
    "    return model\n",
    "\n",
    "conv_model = make_conv_model(output_bias=initial_bias)\n",
    "conv_model.fit(\n",
    "    ds_train_final,\n",
    "    epochs=15,\n",
    "    validation_data=ds_test_final,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7d61b56-7d70-43fd-8552-379268c2e9a2",
   "metadata": {},
   "source": [
    "Finally, we need to set up our run method again with adjustments for the new model output of a single floating point value (W confidence)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "062ca8b3-8d18-4d94-81ea-285d32a88bbb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import keras\n",
    "conv_model = keras.saving.load_model(\"conv_model_balanced.keras\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "730982b7-e88a-417d-a462-bf9d0dfbf692",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0002.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0003.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0004.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0005.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0006.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0007.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "precision 0.9833333333333333 recall 0.4154929577464789\n"
     ]
    }
   ],
   "source": [
    "import glob\n",
    "import re\n",
    "import cv2     \n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "not_Ws = {\n",
    "    2: [6],\n",
    "    3: [3, 4, 11, 12, 28],\n",
    "    4: [],\n",
    "    5: [],\n",
    "    6: [3,4],\n",
    "    7: []\n",
    "}\n",
    "\n",
    "Ws = 30*5-8\n",
    "\n",
    "def run(path, page_range=(2, 16), model=None, threshold=0.5, debug=False):\n",
    "    cnt_detected = 0\n",
    "    cnt_true_positive = 0\n",
    "    cnt_false_positive = 0\n",
    "    cnt_true_negative = 0\n",
    "    cnt_false_negative = 0\n",
    "    \n",
    "    for f in sorted(glob.glob(f'{path}/*')):\n",
    "        pagestr = re.search(r'-(\\d+).jpeg', f).group(1)\n",
    "        if int(pagestr) not in range(page_range[0], page_range[1]):\n",
    "            continue\n",
    "        plt.figure(figsize=(16, 16))\n",
    "        print(f)\n",
    "        image = cv2.imread(f)\n",
    "        (adjusted_img, v_lines, h_lines) = extract(image, f, debug=debug)\n",
    "        grayimage = cv2.cvtColor(adjusted_img,cv2.COLOR_BGR2GRAY)\n",
    "        grayimage = 255 - grayimage\n",
    "        demo_h_offset = v_lines[11]  # the demographic column starts the the 12th vertical line\n",
    "        demo_width = v_lines[12] - demo_h_offset  # width calculation\n",
    "        # Open CV rectangles calculation for each demographic cell\n",
    "        demographic_cells = \\\n",
    "          [ (demo_h_offset, h_lines[i], demo_width, int(h_lines[i+1]-h_lines[i])) for i in range(3, len(h_lines)-1)]\n",
    "        for i in range(3, len(h_lines)-1):\n",
    "            num = i-2\n",
    "            ax = plt.subplot(5, 6, i - 2)\n",
    "            plt.axis('off')\n",
    "            cell_img = grayimage[h_lines[i]+5:h_lines[i+1]+5, v_lines[11]:v_lines[12]]\n",
    "            prepared_cell_image = crop_cell(cell_img)\n",
    "            tensor, noop = normalize_img(prepared_cell_image, 0)\n",
    "            result = model.predict(np.expand_dims(tensor, 0), verbose=0)[0][0]\n",
    "            if result >= threshold:\n",
    "                cnt_detected += 1\n",
    "                if num in not_Ws[int(pagestr)]:\n",
    "                    cnt_false_positive += 1\n",
    "                else:\n",
    "                    cnt_true_positive += 1\n",
    "            else:\n",
    "                if num in not_Ws[int(pagestr)]:\n",
    "                    cnt_true_negative += 1\n",
    "                else:\n",
    "                    cnt_false_negative += 1\n",
    "            plt.imshow(prepared_cell_image)\n",
    "            plt.title(f'{pagestr}-{num} conf:{result:.2f}')\n",
    "        plt.show()\n",
    "    print(f'precision {cnt_true_positive/cnt_detected} recall {cnt_true_positive/Ws}')\n",
    "\n",
    "run('pages', page_range=(2,8), model=conv_model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97cfa468-ddcb-41b1-986e-ed3e5271470c",
   "metadata": {},
   "source": [
    "This is certainly an improvement over the previous results. We have corrected for the frequency that Ws appear in normal alphabets. However, the model remain unaware of just how likely a W is in our target data. You may have noticed that I set up a confidence threshold of 50% or 0.5 for interpreting the model's prediction. That threshold is also made a parameter of the run function, so you can plug in whatever threshold works best. We can try lowering the threshold to increase recall, so long as it does not reduce precision unacceptably. In our testing we went as far as a 4% confidence threshold and acheived 77% recall with a precision of 99%."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "19438c42-7319-4c94-a36c-0bc2f21e6d41",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0002.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0003.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0004.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0005.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0006.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pages/43290879-California-101393-0007.jpeg\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x1152 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "precision 0.9908256880733946 recall 0.7605633802816901\n"
     ]
    }
   ],
   "source": [
    "run('pages', page_range=(2,8), model=conv_model, threshold=0.04)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1ffd6a36-8501-4073-b17a-5fdb1103edb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "conv_model.save(\"conv_model_balanced.keras\", overwrite=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a78ae23c-d138-4eea-83e1-590acbae2ea7",
   "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}