scikit-learn (http://scikit-learn.org) is a machine learning library
for Python. It supports many classification algorithms, including
SVMs, Naive Bayes, logistic regression (MaxEnt) and decision trees.
This package implement a wrapper around scikit-learn classifiers. To
use this wrapper, construct a scikit-learn estimator object, then use
that to construct a SklearnClassifier. E.g., to wrap a linear SVM with
default settings:
示例:
>>> from sklearn.svm import LinearSVC
>>> from nltk.classify.scikitlearn import SklearnClassifier
>>> classif = SklearnClassifier(LinearSVC())
根据nltk自己的文档,这是这样实现的:
文件摘录:
示例:
请参见:http://www.nltk.org/api/nltk.classify.html#module-nltk.classify.scikitlearn
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