@Dennis - sorry I just saw you're message a second too late.
2013/9/24 Jaques Grobler
> ProbabilisticPCA will be removed in version 0.16 as it is deprecated.
>
> The documentation duplication comes from the fact that ProbabilisticPCA
> inherited from PCA and thus took docstrings too in the au
ProbabilisticPCA will be removed in version 0.16 as it is deprecated.
The documentation duplication comes from the fact that ProbabilisticPCA
inherited from PCA and thus took docstrings too in the auto generated
reference section.
J
2013/9/24 Shishir Pandey
> On 24-09-2013 18:03, Denis-Alexa
Hi Shishir,
this duplication was due to the fact that the previous ProbsbilisticPCA
class
inherited from PCA and hence the documentation was almost the same.
https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/decomposition/pca.py#L459
This class is now deprecated, I hope the new do
On 24-09-2013 18:03, Denis-Alexander Engemann wrote:
> Hi Shishir,
>
> please note that the ProbabilisiticPCA got recently refactored which
> lead to API changes and improved documentation + examples.
>
> https://github.com/scikit-learn/scikit-learn/pull/2404
>
> Did you take these changes into ac
Hi Shishir,
please note that the ProbabilisiticPCA got recently refactored which lead to
API changes and improved documentation + examples.
https://github.com/scikit-learn/scikit-learn/pull/2404
Did you take these changes into account? If not it would be great to know which
exmample / reduplic
Hi
I am just pointing out that documentation page for both Probabilistic
PCA and PCA have the same example (a lot of documentation is also same).
Is there an example which demonstrates the difference between the two
methods? How to use ProbabilisticPCA on some data?
--
sp
-
