{"cells":[{"cell_type":"markdown","metadata":{"_cell_guid":"070f174d-fd8d-b2fa-2e93-8d5adfd89c83"},"source":"Import files"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"080500a2-ed01-50cd-e4ba-198194dc028b"},"outputs":[],"source":"import csv\nfrom datetime import datetime\nfrom csv import DictReader\nfrom math import exp, log, sqrt\n\n##############################################################################\n# parameters #################################################################\n##############################################################################\n\n# A, paths\ndata_path = \"input/\"\n#train = data_path+'rich_train_insampleV2.csv'               # path to training file\n#test = data_path+'rich_train_out_sampleV2.csv'                 # path to testing file\ntrain = data_path+'rich_train.csv'               # path to training file\ntest = data_path+'rich_test.csv'                 # path to testing file\n\nsubmission = 'sub_proba.csv'  # path of to be outputted submission file\nsubmission2 = 'sub_proba_test2.csv'\n\nprint(train,test)\n\n# B, model\nalpha = .1  # learning rate\nbeta = 0.   # smoothing parameter for adaptive learning rate\nL1 = 2.5    # L1 regularization, larger value means more regularized\nL2 = 2.5   # L2 regularization, larger value means more regularized\n\n# C, feature/hash trick\nD = 2 ** 27 # number of weights to use\ninteraction = False     # whether to enable poly2 feature interactions\n\n# D, training/validation\nepoch = 1       # learn training data for N passes\nholdafter = None   # data after date N (exclusive) are used as validation\nholdout = None  # use every N training instance for holdout validation"}],"metadata":{"_change_revision":0,"_is_fork":false,"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":"3.5.2"}},"nbformat":4,"nbformat_minor":0}