I follow an example found on the internet (http://blog.yhathq.com/posts/random-forests-in-python.html) for using Random Forest Classifer. The result looks working. From the sample code, it looks like taking all attributes to train the model. But checking api (http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html ) there is no description telling that what parameter can be used to ignore some particular fileds/ attributes. So I would like to check if any parameter can be used to ignore particular fields or attributes?
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