Hi everyone,
Given an instance (x_1,x_2,...,x_n), I want to know what about it that make the
decision tree belong to certain class, ie: x_1 < a, x_3> b,. => x is of
class C.
I notice that .apply can return the id of the leaf node that the instance falls
in, but can I get the path from the
I remember a while ago hearing of a (probably unofficial) scikit-learn
experimental repository, where things that were sklearn-compatable, if not
polished code, were put.
Does that still exist?
On 8 December 2013 11:43, Andy wrote:
> On 12/08/2013 12:09 AM, Lars Buitinck wrote:
> > 2013/12/7 G
On 12/08/2013 12:09 AM, Lars Buitinck wrote:
> 2013/12/7 Gael Varoquaux :
>> Here is what I propose:
>>
>> 1. Add a DeprecationWarning in the hmm.py code
>> 2. Move the hmm.py code in a separate github repo
>>
>> Do people agree with this course of action?
> Yes.
+1
---
2013/12/7 Gael Varoquaux :
> Here is what I propose:
>
> 1. Add a DeprecationWarning in the hmm.py code
> 2. Move the hmm.py code in a separate github repo
>
> Do people agree with this course of action?
Yes.
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We have been on and off discussing cutting off HMMs. Users use them, have
some success with them and some problems with them. Problems and up in
our tracker, and do not get fixed, because nobody is happy with the code.
We have thought about moving them to another package, but it seems that
no pack
This discussion has stalled. I don't mind at all. However, I just wanted
to stress that I am neither for or against the idea. I don't have a
strong opinion. The 'api' module raises a few problems, namely that we
have think about what's the best way to document.
I seems that the current consensus i
