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.
>
> Gaël
>
>
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