Hi Emrehan,

Thanks for asking! There are actually many TODOs for MLlib. I would
recommend starting with small tasks before picking a topic for your
senior project. Please check
https://issues.apache.org/jira/browse/SPARK-8445 for the 1.5 roadmap
and see whether there are ones you are interested in. Thanks!

Best,
Xiangrui

On Thu, Jul 9, 2015 at 1:20 PM, Feynman Liang <fli...@databricks.com> wrote:
> Exciting, thanks for the contribution! I'm currently aware of:
>
> SPARK-8499 is currently in progress (in a duplicate issue); I updated the
> JIRA to reflect that.
> SPARK-5992 has a spark package linked but I'm unclear on whether there is
> any progress there.
>
> Feynman
>
> On Thu, Jul 9, 2015 at 1:04 PM, emrehan <emrehan.tu...@gmail.com> wrote:
>>
>> Hi all,
>>
>> We could contribute to a feature to Spark MLlib by May 2016 and make it
>> count as our undergraduate senior project. The following list of issues
>> seem
>> interesting to us:
>>
>> *  https://issues.apache.org/jira/browse/SPARK-2273
>> <https://issues.apache.org/jira/browse/SPARK-2273>    –  Online learning
>> algorithms: Passive Aggressive
>> *  https://issues.apache.org/jira/browse/SPARK-2335
>> <https://issues.apache.org/jira/browse/SPARK-2335>    –  K-Nearest
>> Neighbor
>> classification and regression for MLLib
>> *  https://issues.apache.org/jira/browse/SPARK-2401
>> <https://issues.apache.org/jira/browse/SPARK-2401>    –  AdaBoost.MH, a
>> multi-class multi-label classifier
>> *  https://issues.apache.org/jira/browse/SPARK-4251
>> <https://issues.apache.org/jira/browse/SPARK-4251>    –  Add Restricted
>> Boltzmann machine(RBM) algorithm to MLlib
>> *  https://issues.apache.org/jira/browse/SPARK-4752
>> <https://issues.apache.org/jira/browse/SPARK-4752>    –  Classifier based
>> on
>> artificial neural network
>> *  https://issues.apache.org/jira/browse/SPARK-5575
>> <https://issues.apache.org/jira/browse/SPARK-5575>    –  Artificial neural
>> networks for MLlib deep learning
>> *  https://issues.apache.org/jira/browse/SPARK-5992
>> <https://issues.apache.org/jira/browse/SPARK-5992>    –  Locality
>> Sensitive
>> Hashing (LSH) for MLlib
>> *  https://issues.apache.org/jira/browse/SPARK-6425
>> <https://issues.apache.org/jira/browse/SPARK-6425>    –  Add parallel
>> Q-learning algorithm to MLLib
>> *  https://issues.apache.org/jira/browse/SPARK-6442
>> <https://issues.apache.org/jira/browse/SPARK-6442>    –  Local Linear
>> Algebra Package
>> *  https://issues.apache.org/jira/browse/SPARK-8499
>> <https://issues.apache.org/jira/browse/SPARK-8499>    –  NaiveBayes
>> implementation for MLPipeline
>>
>> All of these tickets are marked unassigned but have some work done on
>> them.
>> Are any of these issues are unsuitable for us as a senior project?
>>
>> Kind regards,
>> Can Giracoglu, Emrehan Tuzun, Remzi Can Aksoy, Saygin Dogu
>>
>>
>>
>>
>> --
>> View this message in context:
>> http://apache-spark-developers-list.1001551.n3.nabble.com/Are-These-Issues-Suitable-for-our-Senior-Project-tp13119.html
>> Sent from the Apache Spark Developers List mailing list archive at
>> Nabble.com.
>>
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