Hi Andreas,
for some reason it's not happening anymore. I will let you know if I see it
again.
Thank you,
________________________________
From: Andreas Mueller [t3k...@gmail.com]
Sent: Wednesday, April 29, 2015 4:01 PM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] passing parameters to a transformer
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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Widest out-of-the-box monitoring support with 50+ applications
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