gistfile1.txt

import lightgbm as lgb
lgb_train = lgb.Dataset(X_train, y_train)
lgb_eval = lgb.Dataset(X_test, y_test, reference=lgb_train)
params = {'boosting_type': 'gbdt',
             'objective': 'binary',
             'num_leaves': 40,
             'learning_rate': 0.1,
             'feature_fraction': 0.9
             }
gbm = lgb.train(params,
   lgb_train,
   num_boost_round=200,
   valid_sets=[lgb_train, lgb_eval],
   valid_names=['train','valid'],
  )