MLComp数据集具有我不知道的特殊类型的文件格式。我想用python阅读，但不能。
答案 0 :(得分：0)
首先要注意的是sklearn（v0.17.1，截至2016年7月24日），仅支持DocumentClassification的{{1}}域。
假设您已经下载了例如mlcomp id=523，/somewhere/on/your/computer到sklearn，您可以使用以下from sklearn.datasets import load_mlcomp
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.metrics import accuracy_score
from sklearn.naive_bayes import MultinomialNB
# Load mlcomp data using sklearn
train_data = load_mlcomp(name_or_id=523, set_='train', mlcomp_root='/somewhere/on/your/computer')
test_data = load_mlcomp(name_or_id=523, set_='test', mlcomp_root='/somewhere/on/your/computer')
# if you had the environment variable `MLCOMP_DATASETS_HOME` set, you wouldn't need to explicitly pass anything to `mlcomp_root`
# `data` is a standard `Bunch` object, so you can now straightforwardly go on and vectorize the dataset,...
vec = CountVectorizer(decode_error='replace')
X_train = vec.fit_transform(train_data.data)
X_test = vec.transform(test_data.data)
# ...train a classifier...
mnb = MultinomialNB()
mnb.fit(X_train, train_data.target)
# ...and evaluate it.
print('Accuracy: {}'.format(accuracy_score(test_data.target, mnb.predict(X_test))))
代码段加载数据集并训练分类器：
<td><a data-quoteapi="$cur.symbol href=/asx/{$cur.symbol} (stockLink)" href="/asx/abc">ABC</a></td>