def main(): args = parse_args() feature_matrix = joblib.load( '../data/02_featuretools/feature_matrix.joblib') app_train = feature_matrix.dropna(subset=['TARGET']) app_test = feature_matrix[feature_matrix['TARGET'].isnull()].drop('TARGET', axis=1) run_lgb(args, app_train, app_test, '12_featuretools')
def main(): args = parse_args() app_train = joblib.load('../data/01_labelencoding/application_train.joblib') app_test = joblib.load('../data/01_labelencoding/application_test.joblib') features = read_all('../data/21_dimlstm') for feature in features.values(): app_train = app_train.merge(feature) app_test = app_test.merge(feature) run_lgb(args, app_train, app_test, '31_dimlstm')
def main(): args = parse_args() feature_matrix = joblib.load( '../data/02_featuretools/feature_matrix.joblib') app_train = feature_matrix.dropna(subset=['TARGET']) app_test = feature_matrix[feature_matrix['TARGET'].isnull()].drop('TARGET', axis=1) features = read_all('../data/21_dimlstm') for feature in features.values(): app_train = app_train.merge(feature) app_test = app_test.merge(feature) run_lgb(args, app_train, app_test, '32_ft_dimlstm')
def main(): args = parse_args() app_train = joblib.load('../data/01_labelencoding/application_train.joblib') app_test = joblib.load('../data/01_labelencoding/application_test.joblib') run_lgb(args, app_train, app_test, '11_baseline')