{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nfrom umap import UMAP\nimport matplotlib.pyplot as plt\nfrom sklearn.externals import joblib\n%matplotlib inline","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","collapsed":true,"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":false},"cell_type":"code","source":"# Uncoment for local training - it takes 2.5 days on a 16 core CPU with 128 GB of RAM\n\n#train_values = np.load('../input/train_values.npy')\n#umap = UMAP()\n#train_values_2D = umap.fit_transform(train_values)\n#filename = 'umap.sav'\n#joblib.dump(umap, filename)","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"","_uuid":"","trusted":true},"cell_type":"code","source":"train_2D = pd.read_csv(\"../input/bengali-umap-2d-embedding/train_2D.csv\").values\ntrain = pd.read_csv('../input/bengaliai-cv19/train.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.scatter(train_2D[:,0], train_2D[:,1], c = train['grapheme_root'].values, s = 10.0)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.scatter(train_2D[:,0], train_2D[:,1], c = train['vowel_diacritic'].values, s = 10.0)\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"plt.scatter(train_2D[:,0], train_2D[:,1], c = train['consonant_diacritic'].values, s = 10.0)\n","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}