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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