Thanks for your responses. I've been using a workaround similar to Joel's
suggestion in the meantime, and it sounds like I just have to stick with
that for now. Essentially I'm doing a hyperparameter grid search, but in a
context that doesn't support GridSearchCV, so I'm dealing with multiple
independent models and had been appending them to a list and then
converting them to a numpy array for sorting with an argsort derived from
the scores.
On Mon, May 26, 2014 at 4:21 AM, Joel Nothman <[email protected]>wrote:
> 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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