{"cells":[{"metadata":{},"cell_type":"markdown","source":"![image.png](attachment:image.png)\n\n**Here I have tried to come up with different ways to create User Defined Functions in Rapids. Please comment and let me know if you wanna add more functions. </br>\nThe dataset used is from the recent competition RIID**","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"## Get Rapids added in the context\nimport sys\n!cp ../input/rapids/rapids.0.18.0 /opt/conda/envs/rapids.tar.gz\n!cd /opt/conda/envs/ && tar -xzvf rapids.tar.gz > /dev/null\nsys.path = [\"/opt/conda/envs/rapids/lib/python3.7/site-packages\"] + sys.path\nsys.path = [\"/opt/conda/envs/rapids/lib/python3.7\"] + sys.path\nsys.path = [\"/opt/conda/envs/rapids/lib\"] + sys.path \n!cp /opt/conda/envs/rapids/lib/libxgboost.so /opt/conda/lib/\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import os\nimport pandas as pd\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n%matplotlib inline\nimport matplotlib.image as mpimg\nfrom IPython.display import display_html\nfrom PIL import Image\nimport gc\nfrom scipy.stats import pearsonr\nimport tqdm\nimport copy\nimport re\n\nimport warnings\nwarnings.filterwarnings(\"ignore\", category=DeprecationWarning)\nwarnings.filterwarnings(\"ignore\", category=UserWarning)\nwarnings.filterwarnings(\"ignore\", category=FutureWarning)\n\n# Color Palette\ncustom_colors = ['#7400ff', '#a788e4', '#d216d2', '#ffb500', '#36c9dd']\nsns.palplot(sns.color_palette(custom_colors))\n\n# Set Style\nsns.set_style(\"whitegrid\")\nsns.despine(left=True, bottom=True)\n\n# Set tick size\nplt.rc('xtick',labelsize=12)\nplt.rc('ytick',labelsize=12)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import cudf\nimport cupy # CuPy is an open-source array library accelerated with NVIDIA CUDA.\n\n\nfrom dask.distributed import Client, wait\nfrom dask_cuda import LocalCUDACluster\n\ncluster = LocalCUDACluster()\nclient = Client(cluster)\nclient","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"!nvidia-smi","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import gc\ngc.collect()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"%%time\n\n# Read in data\ndtypes = {\n    \"row_id\": \"int64\",\n    \"timestamp\": \"int64\",\n    \"user_id\": \"int32\",\n    \"content_id\": \"int16\",\n    \"content_type_id\": \"boolean\",\n    \"task_container_id\": \"int16\",\n    \"user_answer\": \"int8\",\n    \"answered_correctly\": \"int8\",\n    \"prior_question_elapsed_time\": \"float32\", \n    \"prior_question_had_explanation\": \"int8\"\n}\n\ntrain = cudf.read_csv('../input/riiid-test-answer-prediction/train.csv', dtype=dtypes)\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"##### Perform User Defined Functions\n"},{"metadata":{},"cell_type":"markdown","source":"1.Convert to boolean"},{"metadata":{"trusted":true},"cell_type":"code","source":"from numba import cuda\n\n@cuda.jit\ndef multiply(in_col, out_col, multiplier):\n    i = cuda.grid(1)\n    if i < in_col.size: # boundary guard\n        out_col[i] = in_col[i] * multiplier","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"size = len(train['content_type_id'])\ntrain['content_type_boolean'] = 0.0\nmultiply.forall(size)(train['content_type_id'], train['content_type_boolean'], 1.0)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"#### Cumsum Operations on a group by(hacky way)\nEg: for the above dataset lets filter by a user and create a cumsum of the correct answers"},{"metadata":{"trusted":true},"cell_type":"code","source":"train=train.set_index(['user_id','timestamp'])\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train.tail(2)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import gc\ngc.collect()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train=train.reset_index()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_user_list=train['user_id'].unique().to_arrow().to_pylist()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_test=train[train['user_id'].isin(train_user_list[1:100])]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from numba import cuda\n\n# Define a function to apply to each group\ndef cumsum_cals(timestamp,answered_correctly, cumsum_value):\n\n    for i in range(cuda.threadIdx.x,len(timestamp) , cuda.blockDim.x):\n        cumsum_value[i] = 0\n        for j in range(i+1):\n\n            cumsum_value[i] += answered_correctly[j]\n\n\n\ntrain_test = train_test.groupby(\"user_id\").apply_grouped(cumsum_cals,\n                          incols=[\"timestamp\",'answered_correctly'],\n                          outcols={\n                                    'cumsum_value': np.int64,\n                                   },\n                          tpb=8)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_test[train_test['user_id']==5382]","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"2. Merge Data Sets"},{"metadata":{"trusted":true},"cell_type":"code","source":"questions=cudf.read_csv('../input/riiid-test-answer-prediction/questions.csv')\nquestions.head(1)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_test=train_test.merge(questions, how='left', left_on=['content_id'],\n           right_on=['question_id'])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_test.head(4)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"del questions\ngc.collect()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"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":4,"nbformat_minor":4}