Otherwise maybe you can try to make a new branch on your scikit and copy
this repo on it...
Nicolas
On 8 May 2015 9:34 am, "Artem" <barmaley....@gmail.com> wrote:
> Looks like you have a circular import, and Python doesn't like them.
> Sorry, I don't have a quick hack solution to this, all I can propose is to
> look at import chain, understand, which import breaks it all, and get rid
> of it. For example, you can move some imports into functions, so they're
> not called at the module initialization time.
>
>
>
> On Fri, May 8, 2015 at 7:15 PM, Luca Puggini <lucapug...@gmail.com> wrote:
>
>> Hi,
>> due to my need for a good isolation forest algorithm I have downloaded
>> the sklearn branch containing it. (
>> https://github.com/ngoix/scikit-learn/tree/iforest)
>>
>> I have extracted the file in a local folder and I have built it with the
>> command:
>> python3 setup.py build_ext --inplace
>>
>> Everything seems to be fine but I encounter an error when I try to import
>> Isolation Forest in my code.
>>
>> if I use:
>> import sys
>> sys.path.insert(0, '/python_externals_function/')
>> import iforest_sklearn.sklearn.ensemble.bagging
>>
>> i receive the error:
>>
>> .....
>> from . import _tree
>> ImportError: cannot import name '_tree'
>>
>> I am so wondering if I am making something wrong and how can I use this
>> function without to touch my working version of sklearn?
>>
>> thanks a lot!
>>
>>
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>
>
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