问题
Java based Mahout's goal is to build scalable machine learning libraries. Are there any equivalent libraries in Python ?
回答1:
scikits learn is highly recommended http://scikit-learn.sourceforge.net/
回答2:
Spark MLlib is recommmended. It is a scalable machine learning lib, can read data from HDFS and of course runs on top of Spark.
You can access it via PySpark (see the Programming Guide's Python examples).
回答3:
Orange is supposedly pretty decent, from what I've heard, but I've never used it personally. PyML might be worth taking a look at as well. Also, Monte.
回答4:
pysuggest is a Python wrapper for SUGGEST, a Top-N recommendation engine that implements a variety of recommendation algorithms for collaborative filtering.
回答5:
An interesting library is crab.
As of this post, the library only has stable implementations for collaborative filtering algorithms: user-based and item-based.
An SVD implementation is included but it's experimental and content-based algorithms are on the roadmap.
Do check it out!
来源：https://stackoverflow.com/questions/4819437/javas-mahout-equivalent-in-python