If I try to do something like:
import numpy as np
from sklearn.ensemble import RandomForestClassifier
X = np.random.random((100, 10))
y = np.random.randint(2, size=100)
estimator = RandomForestClassifier()
estimator.fit(X, y)
a = np.asarray([estimator])
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?
Thanks,
Steve
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