2014-05-24 0:28 GMT+02:00 Steven Kearnes skear...@gmail.com:
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
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 larsm...@gmail.com wrote:
2014-05-24 0:28 GMT+02:00 Steven Kearnes skear...@gmail.com:
a is a list of the individual DecisionTreeClassifier objects belonging to
the
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 g.lou...@gmail.com wrote:
Why do you want to put a random
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
FWIW, argsort in pure Python is possible given some list l with:
sorted(range(len(l)), key=l.__getitem__)
Sorting by best score would be:
sorted(range(len(l)), key=lambda ind: l[ind].best_score_)
On 27 May 2014 07:39, Steven Kearnes skear...@gmail.com wrote:
Thanks for your responses. I've
