Parenthesis error in the estimators list?
estimators = [('my_regressor', myRegressor(blahblah)),
...]
On 19 May 2015 at 15:47, Pagliari, Roberto wrote:
> I'm trying to add a custom regressor to a pipeline.
> For debugging purposes I commented everything out.
>
> class m
I'm trying to add a custom regressor to a pipeline.
For debugging purposes I commented everything out.
class myRegressor(BaseEstimator, TransformerMixin):
def __init__(self, k=0, njobs=1, cv=6, nestimators=50):
pass
def fit(self, X, y=None):
return self
def transform(
This should be fixed in master.
On 05/19/2015 01:40 PM, Fred Mailhot wrote:
Hi all,
It appears that FeatureUnion.transformer_weights isn't exposed by the
get_params() method, which in turn means that it isn't
grid-searchable, which seems unfortunate to me (I've had cause to do
so manually re
Hi all,
It appears that FeatureUnion.transformer_weights isn't exposed by the
get_params() method, which in turn means that it isn't grid-searchable,
which seems unfortunate to me (I've had cause to do so manually recently,
and wished it could be automated).
Is this something that other people ar
Hey all, in particular hey Mentors and hey GSoC Students!
We are in the community bonding period right now, and I just want to
make sure that mentors and students
are engaged and talking. I'd really like you all to join gitter:
https://gitter.im/scikit-learn/scikit-learn where currently most
di
Hey Wei Xue.
Thanks for posting the blog post!
I think you are right, for diag and tied you can just use gamma
distributions, which makes everything easier.
Oliver and Loic, it would be great if you found the time to comment on
the blog-post and future direction!
Thanks!
Andy
On 05/18/2015 04
