При запуске xgboost с Python я сталкиваюсь с исключениями:
Для воспроизводимого примера:
import sklearn
from sklearn import datasets
data, labels = sklearn.datasets.load_diabetes(return_X_y= True)
labels = (labels > 100) * 1
X_train = data[:300, :]
y_train = labels[:300]
X_test = data[300:,:]
y_test = labels[300:]
dtrain = xgb.DMatrix(data = X_train, label = np.array(y_train), feature_names =['age',
'sex',
'bmi',
'bp',
's1',
's2',
's3',
's4',
's5',
's6'])
dtest = xgb.DMatrix(data = X_test, label = np.array(y_test), feature_names = ['age',
'sex',
'bmi',
'bp',
's1',
's2',
's3',
's4',
's5',
's6'])
param = {'colsample_bytree': 0.7,
'eta': 0.3,
'gamma': 3.0,
'max_depth': 6,
'min_child_weight': 4.0,
'objective': 'binary:logistic',
'reg_alpha': 0.3,
'reg_lambda': 0.3,
'silent': 0,
'subsample': 0.8}
watchlist = [(dtest, 'eval'), (dtrain, 'train')]
num_boost_round = 100
bst = xgb.train(params = param, watchlist = watchlist , dtrain = dtrain, num_boost_round = num_boost_round, \
early_stopping_rounds = True)
Это приводит к исключению:
TypeError: train() got an unexpected keyword argument 'watchlist'
Если я удаляю список наблюдения, я получаю еще одно исключение:
bst = xgb.train(params = param, dtrain = dtrain, num_boost_round = num_boost_round, \
early_stopping_rounds = True)
IndexError: list index out of range