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 val
Is there a reason why you are (still) not respecting the API constraints for
custom estimators given in the documentation?
__init__ should only set parameters on self that have (exactly) the same name
as the arguments passed to it.
Your __init__ should be:
self.k = k
self.nestim
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, T
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_estima
