This is the __init__ function of the parent class.
(Above class is inherited from this and RegressorMixin)
@abstractmethod
def __init__(self, base_estimator=None, n_estimators=10,
max_samples=1.0,
bootstrap=True, oob_score=False, n_jobs=1,
random_state=None, verbose=0):
super(BaseBagging,self).__init__(base_estimator=base_estimator,n_estimators
= n_estimators)
self.max_samples = max_samples
self.bootstrap = bootstrap
self.oob_score = oob_score
self.n_jobs = n_jobs
self.random_state = random_state
self.verbose = verbose
On Tue, Sep 17, 2013 at 3:53 PM, Maheshakya Wijewardena <
pmaheshak...@gmail.com> wrote:
> this is the __init__ function.
>
>
> def __init__(self, base_estimator, n_estimators=10, max_samples=1.0,
> bootstrap=True, oob_score=False, n_jobs=1,
> random_state=None, verbose=0):
> if base_estimator == None:
> base_estimator = DecisionTreeRegressor
>
> super(BaggingRegressor, self).__init__(base_estimator,
> n_estimators=n_estimators, max_samples=max_samples,
> bootstrap=bootstrap, oob_score=oob_score,
> n_jobs=n_jobs, random_state=random_state, verbose=verbose)
>
>
>
> On Tue, Sep 17, 2013 at 3:36 PM, Gael Varoquaux <
> gael.varoqu...@normalesup.org> wrote:
>
>> On Tue, Sep 17, 2013 at 03:32:26PM +0530, Maheshakya Wijewardena wrote:
>> > @Lars: I have followed the coding guidelines.
>>
>> In particular:
>>
>> http://scikit-learn.org/dev/developers/index.html#rolling-your-own-estimator
>>
>> ?
>>
>> > It doesn't seems that this problem is related to that.
>>
>> The test failure that you are getting is because some code that you have
>> added does not follow the scikit-learn API.
>>
>> Gaƫl
>>
>>
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