{"cells":[{"metadata":{},"cell_type":"markdown","source":"# RAPIDS - Do More in Less Time - kNN - MNIST - [0.985]\nIn our previous kernel [here][1], we saw that RAPIDS cuML's kNN algorithm could predict all the test images in Kaggle's Digit-Recognizer competition in an incredible 2.5 seconds (compared to Scikit-learn's 25 minutes). Since RAPIDS cuML is so fast, we can use this speed advantage to increase our model's accuracy by doing additional tasks. Some ways to increase model accuracy are:\n* Feature Engineering and Selection\n* Hyperparameter Search\n* Data Augmentation\n* Ensembling with Bagging and Boosting\n  \nIn this kernel, we will apply Data Augmentation to generate more training data and increase model accuracy.\n\n[1]: https://www.kaggle.com/cdeotte/rapids-gpu-knn-mnist-0-97"},{"metadata":{},"cell_type":"markdown","source":"# Install Nvidia RAPIDS in 1 minute\nNvidia RAPIDS is described [here][1]. The RAPIDS library allows us to perform all our data science on GPUs. The library cuDF provides Pandas functionality on GPU, and cuML provides Scikit-learn functionality on GPU. \n\nIn Kaggle notebooks, we can either install RAPIDS from a local Kaggle dataset [here][2], or install RAPIDS from its online source using Conda. Local takes 1 minute and Conda takes 6 minutes. If the local install doesn't work or we want a more recent version of RAPIDS, we should install with Conda, otherwise local is the fast choice.\n\n[1]: https://rapids.ai/\n[2]: https://www.kaggle.com/cdeotte/rapids"},{"metadata":{"trusted":true,"_kg_hide-output":true},"cell_type":"code","source":"%%time\n# INSTALL RAPIDS OFFLINE (FROM KAGGLE DATASET). TAKES 1 MINUTE :-)\nimport sys\n!cp ../input/rapids/rapids.0.11.0 /opt/conda/envs/rapids.tar.gz\n!cd /opt/conda/envs/ && tar -xzvf rapids.tar.gz\nsys.path = [\"/opt/conda/envs/rapids/lib\"] + [\"/opt/conda/envs/rapids/lib/python3.6\"] + [\"/opt/conda/envs/rapids/lib/python3.6/site-packages\"] + sys.path\n!cp /opt/conda/envs/rapids/lib/libxgboost.so /opt/conda/lib/","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# INSTALL RAPIDS ONLINE (WITH CONDA). TAKES 6 MINUTES :-(\n#import sys\n#!conda create -n rapids -c rapidsai/label/xgboost -c rapidsai -c nvidia -c conda-forge rapids=0.11 python=3.6 cudatoolkit=10.1 --yes\n#sys.path = [\"/opt/conda/envs/rapids/lib\"] + [\"/opt/conda/envs/rapids/lib/python3.6\"] + [\"/opt/conda/envs/rapids/lib/python3.6/site-packages\"] + sys.path\n#!cp /opt/conda/envs/rapids/lib/libxgboost.so /opt/conda/lib/","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# LOAD LIBRARIES\nimport cudf, cuml\nimport pandas as pd, numpy as np, os\nfrom cuml.neighbors import KNeighborsClassifier\nimport matplotlib.pyplot as plt\nprint('cuML version',cuml.__version__)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Data Augmentation - 2 Million Images!\nIf we rotate the image of a digit, it is still the same digit. Likewise if we shift or scale an image, it is the same digit. We would like our model to learn this, so will will create 2 million additional training data images where we randomly rotate, shift, and scale the original training images.\n  \nWe will use [`keras.preprocessing.image.ImageDataGenerator()`][1] to augment our data. This function uses CPU and isn't very fast. If we want more speed, we could write our own augmentation function on GPU or use an existing GPU augmentation package. Since rotation, shift, and scaling are all matrix computations we would see a huge speed increase on GPU (600x or more). \n  \n[1]: https://keras.io/preprocessing/image/"},{"metadata":{"trusted":true},"cell_type":"code","source":"# LOAD TRAIN DATA\ntrain = pd.read_csv('../input/digit-recognizer/train.csv').values\n#train = np.array( cudf.read_csv('../input/digit-recognizer/train.csv').to_gpu_matrix() )\nprint('Original train shape =', train.shape )","execution_count":null,"outputs":[]},{"metadata":{"_kg_hide-input":true,"trusted":true,"_kg_hide-output":false},"cell_type":"code","source":"stderr = sys.stderr; sys.stderr = open(os.devnull, 'w')\nfrom keras.preprocessing.image import ImageDataGenerator; sys.stderr = stderr\n# PREVIEW AUGMENTED IMAGES\ndatagen = ImageDataGenerator(rotation_range=10, zoom_range = 0.10, width_shift_range=0.1, height_shift_range=0.1)\ndigit = train[21,1:].reshape((1,28,28,1))\nplt.figure(figsize=(15,5.5))\nfor i in range(24):  \n    plt.subplot(3, 8, i+1)\n    new_digit = datagen.flow(digit).next()\n    plt.imshow(new_digit[0].reshape((28,28)),cmap=plt.cm.binary)\n    if i==0: plt.title('Original')\n    elif i<8: plt.title('Augmented')\n    plt.xticks([], []); plt.yticks([], [])\n    if i==7: digit = train[22,1:].reshape((1,28,28,1))\n    if i==15: digit = train[25,1:].reshape((1,28,28,1))\nplt.subplots_adjust(wspace=-0.1, hspace=0.1)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"%%time\nfrom keras.preprocessing.image import ImageDataGenerator\ndatagen = ImageDataGenerator(rotation_range=10, zoom_range = 0.10, width_shift_range=0.1, height_shift_range=0.1)\nda = 50; bs=4200\ntrain2 = np.zeros((train.shape[0]*da,train.shape[1]),dtype=np.float32)\nfor k,(X,Y) in enumerate( datagen.flow( train[:,1:].reshape((-1,28,28,1)), train[:,0].reshape((-1,1)) ,batch_size=bs ) ):\n    train2[bs*k:bs*(k+1),1:] = X.reshape((-1,784))\n    train2[bs*k:bs*(k+1),0] = Y.reshape((-1))\n    if k%10==0: print(k//10,', ',end='')\n    if k==train2.shape[0]//bs-1: break\nprint(); print('New train shape =', train2.shape )","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Predict Test\nIn our previous notebook we witnessed GPU RAPIDS kNN infer the entire Kaggle test dataset of 28,000 images against a training set of 48,000 images in an incredible 2.5 seconds. Below we witness GPU RAPIDS kNN infer the entire Kaggle test dataset of 28,000 images against an augmented training set of 2,400,000 images in an incredible 14.5 seconds. That's an amazing 131.7 trillion multiplies, additions, and subtractions in only 14.5 seconds! Unbelieveable!"},{"metadata":{"trusted":true},"cell_type":"code","source":"# LOAD TEST DATA\ntest = cudf.read_csv('../input/digit-recognizer/test.csv')\nprint('test shape =', test.shape )","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"%%time\n# CONVERT NumPy array to cuDF array\ntrain3 = cudf.from_pandas( pd.DataFrame(train2) )\n# train3 = cudf.DataFrame.from_gpu_matrix(cupy.asarray(train2))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"%%time\n# FIT KNN MODEL\nknn = KNeighborsClassifier(n_neighbors=3)\nknn.fit( train3.iloc[:,1:], train3.iloc[:,0] )\n# We can train directly from NumPy array but cuML v0.11.0 has bug\n# knn.fit(train2[:,1:], train2[:,0])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"%%time\n# PREDICT TEST DATA\ny_hat_p = knn.predict_proba(test)\ny_hat = y_hat_p.to_pandas().values.argmax(axis=1)\n# We could use knn.predict() but cuML v0.11.0 has bug\n# y_hat = knn.predict(test)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# SAVE PREDICTIONS TO CSV\nsub = pd.read_csv('../input/digit-recognizer/sample_submission.csv')\nsub.Label = y_hat\nsub.to_csv('submission_cuML_DAx50.csv',index=False)\nsub.head()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# RESULT without Data Augmentation\nIn our last notebook without data augmentation, we achieved an accuracy of 96.9%:\n  \n![1-24-20-cuML.png](attachment:1-24-20-cuML.png)","attachments":{"1-24-20-cuML.png":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"# RESULT with Data Augmentation\nIn this notebook with data augmentation, we achieve an accuracy of 98.5%. If we create more augmented data and/or create non-linear augmentations, we can achieve accuracy over 99%. Additionally, one can scale columns of the dataset to prioritize certain regions of pixels and increase accuracy further! Or one can ensemble multiple models created with bagging. Because RAPIDS cuML is so fast, we can do kNN plus additional tasks and achieve state of the art accuracies!\n\n![cuML_DAx50.png](attachment:cuML_DAx50.png)","attachments":{"cuML_DAx50.png":{"image/png":"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"}}}],"metadata":{"kernelspec":{"display_name":"Python 3","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":"3.7.6"}},"nbformat":4,"nbformat_minor":1}