sklearn.linear_model.SGDClassifier能做小批量学习(mini-batch)吗？

partial_fit可以差不多来实现mini-batch。但是只是和最原始的Mini-batch不是同一个意思。

clf = linear_model.SGDRegressor(learning_rate = 'constant', alpha = 0, eta0 = 0.01, shuffle=True)

chunks = list(batcherator)
for _ in range(4):
    random.shuffle(chunks)
    for X_chunk, y_chunk in chunks:
        clf.partial_fit(X_chunk, y_chunk)

y_predicted = clf.predict_proba(X)

sklearn做不到，它没有mini-batch的逻辑回归