h2o:遍历行 [英] h2o: iterate through rows

问题描述

我知道h2o的内部数据模型是面向列的(即H2OFrame是H2OVec的集合).但是，我要使用的库需要遍历H2OFrame的行.

I know h2o's internal data model is column oriented (namely an H2OFrame is a collection of H2OVec). However, the library I'd like to use requires to iterate through the rows of an H2OFrame.

是否有一种在行上获得迭代器的干净方法，还是我需要像这样建立索引

Is there a clean way to get an iterator on the rows or do I need to resort to indexing like

iris = h2o.import_file(path=".../iris_wheader.csv")
for i in xrange(iris.nrow):
    foo( iris[i,:].as_data_frame(use_pandas=False)[1] )

我知道它会很慢，如果可能的话，我会使用h2o.h2o.export_file.

I know it's going to be slow, I'm using h2o.h2o.export_file when possible.

推荐答案

您可以逐行应用. iris.apply(foo,1)

You can do a row-wise apply. iris.apply(foo,1)

foo是h2o可以理解的lambda(在那里可以有一些限制，但是所有基本的数学运算都应该可以正常工作).

Where foo is some lambda that h2o understands (there are some limits on what can go in there, but all basic math ops should work fine).

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