It's possible to put a sequence as an object into an array, but you cannot
do it with asarray or array directly. Use, for example:
a = np.empty(1)
a[0] = estimator
# alternatively:
a[:] = [estimator]
On 26 May 2014 21:17, Gilles Louppe <[email protected]> wrote:
> Why do you want to put a random forest in a numpy array in the first place?
>
> Best,
> Gilles
>
>
> On 26 May 2014 13:11, Lars Buitinck <[email protected]> wrote:
>
>> 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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>
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