You need to give more context.
Can you give a minimal example that runs but breaks?
On 04/29/2015 02:44 PM, Pagliari, Roberto wrote:
I'm not sure why but when I do something like the below, nestimators
becomes zero, despite the default value of 2000.
class myCustomTransformer(BaseEstimator, TransformerMixin):
def __init__(self, k=5, nestimators=2000):
self.k_ = k
self.clf_ = RandomForestClassifier(n_estimators=nestimators)
def fit(self, X, y):
# some stuff
return self
def transform(self, X):
# do some stuff
return some_stuff
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------------------------------------------------------------------------------
One dashboard for servers and applications across Physical-Virtual-Cloud
Widest out-of-the-box monitoring support with 50+ applications
Performance metrics, stats and reports that give you Actionable Insights
Deep dive visibility with transaction tracing using APM Insight.
http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
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