2014-05-24 0:28 GMT+02:00 Steven Kearnes <[email protected]>:
> a is a list of the individual DecisionTreeClassifier objects belonging to
> the model, instead of a list containing the model itself. The same result
> occurs if I add dtype=object to np.asarray.
>
> Why is this happening? Is there a way to prevent it?
It's because a random forest is an ensemble model and ensemble models
behave like lists:
>>> len(estimator)
10
>>> estimator[0]
DecisionTreeClassifier(compute_importances=None, criterion='gini',
max_depth=None, max_features='auto', max_leaf_nodes=None,
min_density=None, min_samples_leaf=1, min_samples_split=2,
random_state=1854205873, splitter='best')
NumPy picks this up and acts accordingly: asarray, when given a
sequence of things, makes an array of the elements of the sequence.
This behavior was introduced in
https://github.com/scikit-learn/scikit-learn/commit/7bd3f88f. I don't
see an easy way to turn this off with modifying the library code.
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