On Mon, Jul 06, 2015 at 04:55:07PM -0400, Deepak Subburam wrote:
> I have some time to contribute, and would like to implement a
> sample_weight option to the fit() method of
> sklearn.cross_decomposition.PLSRegression, handling any other knock-on
> effects. Let me know if you think this is not
Thanks, Jeff, that was what I expected, but I just wanted to make sure. I will
add a note via a pull request later.
> On Jul 6, 2015, at 3:52 PM, Jeff Blackburne wrote:
>
> Hi Sebastian,
>
> The bootstrap sample size is always the same as the input sample size. If you
> feel up to it, a pull
Hi,
I have some time to contribute, and would like to implement a
sample_weight option to the fit() method of
sklearn.cross_decomposition.PLSRegression, handling any other knock-on
effects. Let me know if you think this is not a good idea, or have any
other thoughts to guide me.
Thanks,
Deepa
That is the intended behavior. If you look at RandomForestRegressor, "auto"
means something different.
-Jeff
On Mon, Jul 6, 2015 at 12:35 PM, Sebastian Raschka
wrote:
> Hi,
> another RandomForest-related question, in the documentation it reads like
> the “auto” and “sqrt” are the same for sele
Hi Sebastian,
The bootstrap sample size is always the same as the input sample size. If
you feel up to it, a pull request updating the documentation would probably
be quite welcome.
-Jeff
On Mon, Jul 6, 2015 at 12:21 PM, Sebastian Raschka
wrote:
> Hi, all,
>
> I am wondering what the sample s
Hi,
another RandomForest-related question, in the documentation it reads like the
“auto” and “sqrt” are the same for selecting max_features, is this the intended
behavior?
http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html
• If “auto”, then ma
Hi, all,
I am wondering what the sample size of the bootstrap samples are in the
RandomForestClassifier/Regressor (if bootstrap=True, default setting). From the
documentation
http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomFo
Hi Nastran.
This looks like a scipy problem. I guess it depends on which blas you
link against.
I'm not sure if it runs on BSD, but you could try running anaconda
http://continuum.io/downloads
Otherwise maybe check on the scipy list.
Andy
On 07/02/2015 10:04 PM, Nastaran Baradaran wrote:
Hi,
