Got it. Thanks for the clarification, Andreas!
-Kittipat
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Actually with the newest version Gilles meant the dev version
0.17-dev that is not released yet.
So with 0.16.1, your way (manual conversion) is the right way, and with
using the dev version or after the release, you can just do tree.apply(X).
On 05/25/2015 12:33 PM, Kittipat Kampa wrote:
Hi
Hi Gilles,
I just realized that the version of scikit-learn when I wrote the original
email is 0.15.2. To follow your suggestion, I updated the scikit-learn to
version 0.16.1 and tried the following commands. Finally it worked and here
is what I found:
clf.apply(X_train), which gives the error
Hi,
Since the last version, scikit-learn provides an `apply` method for
the classifier itself, hence preventing users from shooting themselves
in the foot :)
So basically, you can replace clf.tree_.apply(X_train) with
clf..apply(X_train) and it should work.
Hope this helps,
Gilles
On 23 May
Hi everyone,
I'm using decision tree classifier from the scikit-learn package in python
3.4, and I want to get the corresponding leaf node id for each of my input
data point.
For example, my input data array (three records, 4d each) looks like this:
array([[ 5.1, 3.5, 1.4, 0.2],
[
