Closed sevilaybayatli closed 5 years ago
Generally, you are right. Most of vw
is supervised learning.
In particular, there's no clustering support.
Exceptions:
--rank
, --lrq
, ... options) which are not strictly supervised.--active
, --mellowness
, --simulation
, ... options) which is semi-supervised.utl/vw-top-errors
LDA is an unsupervised learning algorithm.
-John
On Mon, Aug 20, 2018 at 5:30 PM Ariel Faigon notifications@github.com wrote:
Generally, you are right. Most of vw is supervised learning. In particular, there's no clustering support.
Exceptions:
- There are some matrix decomposition algorithms (--rank, --lrq, ... options) which are not strictly supervised.
- There's support for active learning (--active, --mellowness, --simulation, ... options) which is semi-supervised.
- There's indirect support for outlier/anomaly detection by real-time introspection of the streaming loss. See utl/vw-top-errors
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@sevilaybayatli: Has your question been resolved?
If not, could you provide a bit more details about your specific scenario?
Closing this issue as it seems like the question is answered. @sevilaybayatli if it is not, please go ahead and reopen it.
Hello,
Is vowpal_wabbit just used supervised algorithms? While I was reading this tutorial, I recognized that all algorithms are supervised. If I am wrong, please correct me? I need to use unsupervised learner and I am happy to use vowpal_wabbit.
Thanks million for your help.