[scikit-learn] Problem found when testing DecisionTreeClassifier within the source folder

[hanzi mao]

Hi,

I am researching on the source code of DecisionTree recently. Here are the things I tried.


  1.  Downloaded source code from github.
  2.  run "python setup.py build_ext --inplace" to compile the sources in the unzipped source folder.
  3.  Try the following codes to see whether it works. Here I changed the name of the sklearn folder to sklearn1 to differentiate it from the one installed.


>>> from sklearn1 import tree

>>> from sklearn.datasets import load_iris

>>> iris = load_iris()

>>> clf = tree.DecisionTreeClassifier()

>>> clf = clf.fit(iris.data, iris.target)

Traceback (most recent call last):

  File "<stdin>", line 1, in <module>

  File "sklearn1\tree\tree.py", line 790, in fit

    X_idx_sorted=X_idx_sorted)

  File "sklearn1\tree\tree.py", line 341, in fit

    self.presort)

TypeError: Argument 'criterion' has incorrect type (expected sklearn.tree._criterion.Criterion, got sklearn.tree._criterion.Gini)


Then a weird error happened. Actually I also tried the newest stable version of scikit-learn earlier today. It had the same error. So I was thinking maybe try the newest version in github might help. Unlikely, it didn't.

I have limited knowledge about the source code of scikit-learn. I am wondering if anyone could help me with this.

Thanks!

Best,
Hanna

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