I did not solve yet but I think that the problem is related to the way I
count the length of each path.
I do it dynamically during the construction of the forest while they do it
at the end.
This seems to lead to slightly different results.
Thanks anyway :-)
On Fri, May 8, 2015 at 3:26 AM, Nicolas Goix <goix.nico...@gmail.com> wrote:
> Hi Luca
> Yes try with the same parameters, and if (as I suppose) you don't have a
> way to fix the same seed for the two algorithms, I suggest you to try with
> large parameters to reduce the variance, like n_estimators=512 and
> n_samples=200 for instance.
> Nicolas
> On 6 May 2015 6:57 pm, "Zay Maung Maung Aye" <zmm...@gmail.com> wrote:
>
>> Hi Luca,
>>
>> Is it because of the number of trees? In R you're using 100000 trees and
>> in python 20 trees.
>>
>> Can you provide the output of your algorithm? You only provided the
>> output of R.
>>
>> Regards,
>>
>> On Thu, May 7, 2015 at 1:54 AM, Andreas Mueller <t3k...@gmail.com> wrote:
>>
>>> https://github.com/scikit-learn/scikit-learn/pull/4163
>>>
>>>
>>> On 05/06/2015 11:38 AM, Luca Puggini wrote:
>>>
>>> Dear all,
>>>
>>> I am wondering if there is anyone that is working on a python version
>>> of the isolation forest algorithm.
>>>
>>> I have written a basic draft of the algorithm but I do not understand
>>> why I get values that are different by the ones obtained with the R
>>> version.
>>>
>>> if anyone is interested or wants to help the question is posted here:
>>>
>>>
>>> http://stackoverflow.com/questions/30080491/isolation-forest-algorithm-in-python
>>>
>>> Thanks,
>>> Luca
>>>
>>>
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>>
>>
>> --
>> *孟泽*
>> Meng Ze ( Zay Maung Maung Aye)
>>
>>
>>
>>
>>
>>
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