{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"!pip install fastai -U","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2022-10-28T09:36:44.548363Z","iopub.execute_input":"2022-10-28T09:36:44.548903Z","iopub.status.idle":"2022-10-28T09:37:15.099559Z","shell.execute_reply.started":"2022-10-28T09:36:44.548861Z","shell.execute_reply":"2022-10-28T09:37:15.097550Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 1. Required libraries : import and config","metadata":{}},{"cell_type":"code","source":"# Python standard libraries\nfrom pathlib import Path\nimport os","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:37:15.103266Z","iopub.execute_input":"2022-10-28T09:37:15.103811Z","iopub.status.idle":"2022-10-28T09:37:15.111337Z","shell.execute_reply.started":"2022-10-28T09:37:15.103765Z","shell.execute_reply":"2022-10-28T09:37:15.109609Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Data Handling libraries\nimport numpy as np\nimport pandas as pd\n\n#  Visualization libraries\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n\n%matplotlib inline","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:37:15.113192Z","iopub.execute_input":"2022-10-28T09:37:15.113873Z","iopub.status.idle":"2022-10-28T09:37:16.371893Z","shell.execute_reply.started":"2022-10-28T09:37:15.113833Z","shell.execute_reply":"2022-10-28T09:37:16.370159Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Configurations\nclass CONFIG:\n    seed = 42\n\nos.environ['PYTHONHASHSEED'] = str(CONFIG.seed)","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:37:16.375317Z","iopub.execute_input":"2022-10-28T09:37:16.375846Z","iopub.status.idle":"2022-10-28T09:37:16.383096Z","shell.execute_reply.started":"2022-10-28T09:37:16.375797Z","shell.execute_reply":"2022-10-28T09:37:16.381546Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# ML/DL libraries\nfrom fastai.data.all import *\nfrom fastai.vision.all import *\nfrom sklearn.metrics import roc_curve, auc\n\n# Seed for reproducible results\nset_seed(CONFIG.seed)","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:37:16.385150Z","iopub.execute_input":"2022-10-28T09:37:16.385686Z","iopub.status.idle":"2022-10-28T09:37:19.399282Z","shell.execute_reply.started":"2022-10-28T09:37:16.385607Z","shell.execute_reply":"2022-10-28T09:37:19.397711Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 2. Paths","metadata":{}},{"cell_type":"code","source":"paths = {\n    'competition': Path('../input/histopathologic-cancer-detection'),\n    'output': Path('/kaggle/working'),\n}\n\npaths['train_lbls'] = Path(paths['competition'] / 'train_labels.csv')\npaths['train_imgs'] = Path(paths['competition'] / 'train')\npaths['test_imgs'] = Path(paths['competition'] / 'test')\npaths['models'] = Path(paths['output'] / 'models').mkdir(exist_ok=True)\npaths['temp'] = Path(paths['output'] / 'temp').mkdir(exist_ok=True)","metadata":{"_kg_hide-output":true,"execution":{"iopub.status.busy":"2022-10-28T09:37:19.401168Z","iopub.execute_input":"2022-10-28T09:37:19.401873Z","iopub.status.idle":"2022-10-28T09:37:19.412853Z","shell.execute_reply.started":"2022-10-28T09:37:19.401830Z","shell.execute_reply":"2022-10-28T09:37:19.411021Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 3. Utils","metadata":{}},{"cell_type":"markdown","source":"## 4. Exploring data","metadata":{}},{"cell_type":"code","source":"train_df = pd.read_csv(paths['train_lbls'])\ntrain_df.info()\ntrain_df.head()","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:37:19.414149Z","iopub.execute_input":"2022-10-28T09:37:19.414544Z","iopub.status.idle":"2022-10-28T09:37:19.937477Z","shell.execute_reply.started":"2022-10-28T09:37:19.414508Z","shell.execute_reply":"2022-10-28T09:37:19.936112Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sns.countplot(x='label',data=train_df)","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:37:19.939234Z","iopub.execute_input":"2022-10-28T09:37:19.940023Z","iopub.status.idle":"2022-10-28T09:37:20.202069Z","shell.execute_reply.started":"2022-10-28T09:37:19.939973Z","shell.execute_reply":"2022-10-28T09:37:20.201123Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_imgs = get_image_files(paths['train_imgs'])\nprint('Number of training images: %s' % len(train_imgs))","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:37:20.203240Z","iopub.execute_input":"2022-10-28T09:37:20.203873Z","iopub.status.idle":"2022-10-28T09:40:22.883447Z","shell.execute_reply.started":"2022-10-28T09:37:20.203829Z","shell.execute_reply":"2022-10-28T09:40:22.881981Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"> The original PCam dataset contains duplicate images due to its probabilistic sampling, however, the version presented on Kaggle does not contain duplicates. [— ref](https://www.kaggle.com/competitions/histopathologic-cancer-detection/data)","metadata":{}},{"cell_type":"markdown","source":"| image size | channels |\n|---|---|\n| 96 x 96px | 3 |\n","metadata":{}},{"cell_type":"code","source":"# fig = plt.figure(figsize=(20, 4))\n\n# for idx, img in enumerate(np.random.choice(train_imgs , 20)):\n#     ax = fig.add_subplot(2, 20//2, idx+1, xticks=[], yticks=[])\n#     im = Image.open(train_imgs)\n#     plt.imshow(im)","metadata":{"_kg_hide-input":true,"execution":{"iopub.status.busy":"2022-10-28T09:40:22.888135Z","iopub.execute_input":"2022-10-28T09:40:22.889761Z","iopub.status.idle":"2022-10-28T09:40:22.895599Z","shell.execute_reply.started":"2022-10-28T09:40:22.889716Z","shell.execute_reply":"2022-10-28T09:40:22.894140Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 4.1. Outliers\nTBD","metadata":{}},{"cell_type":"markdown","source":"## 5. Feature Engineering\n### 5.1. One-Hot Encoding\nN/A\n### 5.2. Binning\nN/A\n### 5.3. Normalization\nby fastai\n### 5.4. Standardization\nby fastai\n### 5.5. Missing features\n- [ ] removing the examples\n- [ ] compatible algorithm selection\n- [ ] Data imputation","metadata":{}},{"cell_type":"markdown","source":"## 6. Learning Algoritm Selection","metadata":{}},{"cell_type":"markdown","source":"## 7. Planning a good Fit\n### 7.1. Underfitting prevention\n- [ ] using a more complex model (algorithm?)\n- [ ] engineering features with high predictive power\n\n### 7.2. Overfitting prevention\n- [ ] using a simpler model (algorithm?)\n- [ ] reducing the dimensionality\n- [ ] add more training data, if possible\n- [ ] regularize the model *(the most widely used approach to prevent overfitting)*\n\n#### 7.2.1. Regularization\n- [ ] L1 regularization\n- [ ] L2 regularization\n- [ ] combined in elastic net regularization ?\n- [ ] dropout *(NN)*\n- [ ] batch-normalization *(NN)*\n- [ ] data augmentation *(non-math)*\n- [ ] early stopping *(non-math)*","metadata":{}},{"cell_type":"markdown","source":"## 8. Loading datasets","metadata":{}},{"cell_type":"code","source":"dls = ImageDataLoaders.from_df(\n    df=train_df,\n    fn_col=0, label_col=1,\n    path=paths['competition'],\n    folder='train',\n    suff='.tif',\n    valid_pct=0.2,\n    seed=CONFIG.seed,\n    items_tfms=[CropPad(32), Resize(224, ResizeMethod.Squish)]\n)","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:40:22.897342Z","iopub.execute_input":"2022-10-28T09:40:22.897928Z","iopub.status.idle":"2022-10-28T09:40:46.262332Z","shell.execute_reply.started":"2022-10-28T09:40:22.897889Z","shell.execute_reply":"2022-10-28T09:40:46.260504Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dls.show_batch()","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:40:46.264134Z","iopub.execute_input":"2022-10-28T09:40:46.264522Z","iopub.status.idle":"2022-10-28T09:40:47.717506Z","shell.execute_reply.started":"2022-10-28T09:40:46.264486Z","shell.execute_reply":"2022-10-28T09:40:47.707346Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 9. Learner","metadata":{}},{"cell_type":"markdown","source":"Within `vision_learner`, the arguments `normalize` and `pretrained` are set to `True` by default, adding a transform to the `dls` (if there is not already one) using the statistics of the pretrained model. That way, you won’t ever forget to normalize your data in transfer learning. [— ref](https://docs.fast.ai/vision.learner.html#vision_learner)\n","metadata":{}},{"cell_type":"code","source":"def getLearner(my_arch, my_metrics):\n    \"Initiating a learner\"\n    # In Python, global variables can be used both inside of functions and outside\n    return vision_learner(dls=dls, arch=my_arch, metrics=my_metrics,\n                          path=paths['output'], model_dir='models')\n\nlearn = getLearner(resnet18, RocAucBinary())","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:40:47.719596Z","iopub.execute_input":"2022-10-28T09:40:47.720243Z","iopub.status.idle":"2022-10-28T09:40:56.881348Z","shell.execute_reply.started":"2022-10-28T09:40:47.720193Z","shell.execute_reply":"2022-10-28T09:40:56.879896Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 10. Hyperparameter tuning","metadata":{}},{"cell_type":"markdown","source":"### 10.1. Learning rate","metadata":{}},{"cell_type":"code","source":"lr = learn.lr_find(num_it=300, suggest_funcs=(minimum, steep, valley, slide))\nprint(lr)","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:40:56.883084Z","iopub.execute_input":"2022-10-28T09:40:56.883505Z","iopub.status.idle":"2022-10-28T09:46:22.725634Z","shell.execute_reply.started":"2022-10-28T09:40:56.883470Z","shell.execute_reply":"2022-10-28T09:46:22.723787Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 10.2. Cross-validation\n- [ ] if you don't have a descent training (and thus a validation) set.","metadata":{}},{"cell_type":"markdown","source":"## 11. Training","metadata":{}},{"cell_type":"markdown","source":"The number shown at the end of tqdm description is the train_loss","metadata":{}},{"cell_type":"markdown","source":"### 11.1. Transfer learning","metadata":{}},{"cell_type":"code","source":"# learn.fine_tune(5, lr[2], cbs=[ShowGraphCallback()])","metadata":{"execution":{"iopub.status.busy":"2022-10-28T09:46:22.727600Z","iopub.execute_input":"2022-10-28T09:46:22.728835Z","iopub.status.idle":"2022-10-28T09:46:22.735172Z","shell.execute_reply.started":"2022-10-28T09:46:22.728791Z","shell.execute_reply":"2022-10-28T09:46:22.733486Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"learn = getLearner(resnet18, RocAucBinary())\nlearn.fine_tune(2, lr[2], cbs=[ShowGraphCallback(), EarlyStoppingCallback()])","metadata":{"execution":{"iopub.status.busy":"2022-10-28T16:26:03.307725Z","iopub.execute_input":"2022-10-28T16:26:03.308421Z","iopub.status.idle":"2022-10-28T20:24:05.647717Z","shell.execute_reply.started":"2022-10-28T16:26:03.308349Z","shell.execute_reply":"2022-10-28T20:24:05.644747Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 11.2. From Scratch","metadata":{}},{"cell_type":"code","source":"# learn = getLearner(resnet34, RocAucBinary())\n# learn.fit_one_cycle(3, 0.00083, cbs=[ShowGraphCallback()])","metadata":{"execution":{"iopub.status.busy":"2022-10-28T15:44:26.031490Z","iopub.execute_input":"2022-10-28T15:44:26.032124Z","iopub.status.idle":"2022-10-28T15:44:26.042994Z","shell.execute_reply.started":"2022-10-28T15:44:26.032057Z","shell.execute_reply":"2022-10-28T15:44:26.040679Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 12. Model Performance Assessment","metadata":{}},{"cell_type":"markdown","source":"### 12.1 Classification metrics","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:6e862624-b666-4b3f-9497-583be201130a.png)\n(from [Wikipedia](https://en.wikipedia.org/wiki/F-score#Diagnostic_testing))","metadata":{},"attachments":{"6e862624-b666-4b3f-9497-583be201130a.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"#### 12.1.1. Confusion Matrix","metadata":{}},{"cell_type":"code","source":"def interp_matrix(learn):\n    interp = ClassificationInterpretation.from_learner(learn)\n    upp, low = interp.confusion_matrix()\n\n    tn, fp = upp[0], upp[1]\n    fn, tp = low[0], low[1]\n\n    specificity = tn/(tn + fp)\n    ppv = tp/(tp + fp)\n    npv = tn/(tn+fn)\n\n    print('Specificity: %s' % specificity)\n    print('Negative predictive value: %s' % npv)\n\n    interp.plot_confusion_matrix()\n    \n    return {'tp': tp, 'fp': fp, 'tn': tn, 'fn': fn}\n\nconfusion_matrix_ = interp_matrix(learn)","metadata":{"execution":{"iopub.status.busy":"2022-10-28T20:26:17.841047Z","iopub.execute_input":"2022-10-28T20:26:17.841751Z","iopub.status.idle":"2022-10-28T20:46:33.862827Z","shell.execute_reply.started":"2022-10-28T20:26:17.841678Z","shell.execute_reply":"2022-10-28T20:46:33.860966Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 12.1.2. Precision/Recall\nQ: Which one do you prefer to acheive based on the problem?\n\nA: Here we must not miss the cancers; so we should acheive high recall (i.e., sensitivity).","metadata":{}},{"cell_type":"code","source":"print(f\"Precision (positive predictive value): {confusion_matrix_['tp']/(confusion_matrix_['tp'] + confusion_matrix_['fp'])}\")\nprint(f\"Recall (sensitivity): {confusion_matrix_['tp']/(confusion_matrix_['tp'] + confusion_matrix_['fn'])}\")","metadata":{"execution":{"iopub.status.busy":"2022-10-28T20:47:26.692528Z","iopub.execute_input":"2022-10-28T20:47:26.693066Z","iopub.status.idle":"2022-10-28T20:47:26.702107Z","shell.execute_reply.started":"2022-10-28T20:47:26.693028Z","shell.execute_reply":"2022-10-28T20:47:26.700673Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 12.1.3. Accuracy","metadata":{}},{"cell_type":"code","source":"print(f\"Accuracy: {(confusion_matrix_['tp'] + confusion_matrix_['tn'])/(confusion_matrix_['tp'] + confusion_matrix_['tn'] + confusion_matrix_['fp'] + confusion_matrix_['fn'])}\")","metadata":{"execution":{"iopub.status.busy":"2022-10-28T20:47:34.025130Z","iopub.execute_input":"2022-10-28T20:47:34.026148Z","iopub.status.idle":"2022-10-28T20:47:34.032474Z","shell.execute_reply.started":"2022-10-28T20:47:34.026096Z","shell.execute_reply":"2022-10-28T20:47:34.031105Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"#### 12.1.4. Cost-sensitive accuracy\n#### 12.1.5. Area under the ROC curve (AUC)","metadata":{}},{"cell_type":"code","source":"probs,val_labels = learn.get_preds() # Predicting without TTA\n\nfpr, tpr, _ = roc_curve(val_labels, probs[:,1], pos_label=1)\n\n# Compute ROC area\nroc_auc = auc(fpr, tpr)\nprint('ROC area is {0}'.format(roc_auc))\nplt.figure()\nplt.plot(fpr, tpr, color='darkorange', label='ROC curve (area = %0.2f)' % roc_auc)\nplt.plot([0, 1], [0, 1], color='navy', linestyle='--')\nplt.xlim([-0.01, 1.0])\nplt.ylim([0.0, 1.01])\nplt.xlabel('False Positive Rate')\nplt.ylabel('True Positive Rate')\nplt.title('Receiver operating characteristic')\nplt.legend(loc=\"lower right\")","metadata":{"execution":{"iopub.status.busy":"2022-10-28T20:48:29.553378Z","iopub.execute_input":"2022-10-28T20:48:29.554462Z","iopub.status.idle":"2022-10-28T20:55:26.223406Z","shell.execute_reply.started":"2022-10-28T20:48:29.554388Z","shell.execute_reply":"2022-10-28T20:55:26.221712Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 13. Export model\nIn FastAI, `save`/`load` is [meant for](https://forums.fast.ai/t/saving-and-loading-data-and-models/32464/9?u=qodrinzo) continuation of training and `export`/`load_learner` is for inference.","metadata":{}},{"cell_type":"code","source":"# learn.export(r'models/model.pkl')","metadata":{"execution":{"iopub.status.busy":"2022-10-28T21:19:08.709361Z","iopub.execute_input":"2022-10-28T21:19:08.709800Z","iopub.status.idle":"2022-10-28T21:19:08.726431Z","shell.execute_reply.started":"2022-10-28T21:19:08.709767Z","shell.execute_reply":"2022-10-28T21:19:08.725604Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 14. Inference","metadata":{}},{"cell_type":"code","source":"# learn = load_learner(fname='models/models.pkl')","metadata":{"execution":{"iopub.status.busy":"2022-10-28T16:02:15.745993Z","iopub.status.idle":"2022-10-28T16:02:15.746762Z","shell.execute_reply.started":"2022-10-28T16:02:15.746394Z","shell.execute_reply":"2022-10-28T16:02:15.746427Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_files = get_image_files(paths['test_imgs'])\ntest_dl = learn.dls.test_dl(test_files)\npreds = learn.get_preds(dl=test_dl, with_decoded=True)\nprint(preds)","metadata":{"execution":{"iopub.status.busy":"2022-10-28T20:56:22.045019Z","iopub.execute_input":"2022-10-28T20:56:22.045443Z","iopub.status.idle":"2022-10-28T21:06:24.410104Z","shell.execute_reply.started":"2022-10-28T20:56:22.045408Z","shell.execute_reply":"2022-10-28T21:06:24.408570Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# preds = [learn.dls.vocab[i] for i in np.argmax(preds[0], 1)]","metadata":{"execution":{"iopub.status.busy":"2022-10-28T16:02:15.752427Z","iopub.status.idle":"2022-10-28T16:02:15.752906Z","shell.execute_reply.started":"2022-10-28T16:02:15.752691Z","shell.execute_reply":"2022-10-28T16:02:15.752711Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submit_df = pd.DataFrame({'id': [f.stem for f in test_files], 'label': preds[2]})\nsubmit_df.head()","metadata":{"execution":{"iopub.status.busy":"2022-10-28T21:09:18.485781Z","iopub.execute_input":"2022-10-28T21:09:18.486990Z","iopub.status.idle":"2022-10-28T21:09:18.601540Z","shell.execute_reply.started":"2022-10-28T21:09:18.486918Z","shell.execute_reply":"2022-10-28T21:09:18.599915Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submit_df.to_csv('submission.csv', header=True, index=False)","metadata":{"execution":{"iopub.status.busy":"2022-10-28T21:09:25.123175Z","iopub.execute_input":"2022-10-28T21:09:25.124468Z","iopub.status.idle":"2022-10-28T21:09:25.242343Z","shell.execute_reply.started":"2022-10-28T21:09:25.124420Z","shell.execute_reply":"2022-10-28T21:09:25.241021Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from IPython.display import FileLink\nFileLink(r'submission.csv')","metadata":{"trusted":true},"execution_count":null,"outputs":[]}]}