我可以使用随机森林进行在线学习吗？我有几百万个数据点，分类器无法完成交叉验证步骤。

我可以按顺序把它分成几块吗？
当前代码：

X_train, y_train, X_val, y_val, X_test, y_test = load_dataset()

   print('Planting trees...')
   clf = RandomForestClassifier(
       n_estimators=50,
       max_depth=None,
       min_samples_split=1,
       random_state=0
   )

   print('Growing trees...')
   classifier = clf.fit(X_train, y_train)

   # see how we did
   print('Testing trees...')
   scores = cross_val_score(classifier, X_test, y_test)
   print(scores)
   print('accuracy: %d' % (scores.mean()))

我可以将其更改为：

for chunk in df:
     clf.fit(...)
     cross_validate...