Sounds good to me. +1
> On Feb 17, 2017, at 11:15 AM, Saikat Kanjilal <sxk1...@hotmail.com> wrote:
>
> Jim,
> What do you say we start with ALS and then tackle glm?
>
>
> Sent from my iPhone
>
>> On Feb 17, 2017, at 6:56 AM, Trevor Grant <trevor.d.gr...@gmail.com> wrote:
>>
>> Jim is right, and I would take it one further and say, it would be best to
>> implement GLMs https://en.wikipedia.org/wiki/Generalized_linear_model ,
>> from there a Logistic regression is a trivial extension.
>>
>> Buyer beware- GLMs will be a bit of work- doable, but that would be jumping
>> in neck first for both Jim and Saikat...
>>
>> MAHOUT-1928 and MAHOUT-1929
>>
>> https://issues.apache.org/jira/browse/MAHOUT-1925?jql=project%20%3D%20MAHOUT%20AND%20component%20%3D%20Algorithms%20AND%20resolution%20%3D%20Unresolved%20ORDER%20BY%20due%20ASC%2C%20priority%20DESC%2C%20created%20ASC
>>
>> ^^ currently open JIRAs around Algorithms- you'll see Logistic and GLMs are
>> in there.
>>
>> If you have an algorithm you are particularly intimate with, or explicitly
>> need/want- feel free to open a JIRA and assign to yourself.
>>
>> There is also a case to be made for implementing the ALS...
>>
>> 1) It's a much better 'beginner' project.
>> 2) Mahout has some world class Recommenders, a toy ALS implementation might
>> help us think through how the other reccomenders (e.g. CCO) will 'fit' into
>> the framework. E.g. ALS being the toy-prototype reccomender that helps us
>> think through building out that section of the framework.
>>
>>
>>
>> Trevor Grant
>> Data Scientist
>> https://github.com/rawkintrevo
>> http://stackexchange.com/users/3002022/rawkintrevo
>> http://trevorgrant.org
>>
>> *"Fortunate is he, who is able to know the causes of things." -Virgil*
>>
>>
>>> On Fri, Feb 17, 2017 at 7:59 AM, Jim Jagielski <j...@jagunet.com> wrote:
>>>
>>> My own thoughts are that logistic regression seems a more "generalized"
>>> and hence more useful algo to be factored in... At least in the
>>> use cases that I've been toying with.
>>>
>>> So I'd like to help out with that if wanted...
>>>
>>>> On Feb 9, 2017, at 3:59 PM, Saikat Kanjilal <sxk1...@hotmail.com> wrote:
>>>>
>>>> Trevor et al,
>>>>
>>>> I'd like to contribute an algorithm or two in samsara using spark as I
>>> would like to do a compare and contrast with mahout with R server for a
>>> data science pipeline, machine learning repo that I'm working on, in
>>> looking at the list of algorithms (https://mahout.apache.org/
>>> users/basics/algorithms.html) is there an algorithm for spark that would
>>> be beneficial for the community, my use cases would typically be around
>>> clustering or real time machine learning for building recommendations on
>>> the fly. The algorithms I see that could potentially be useful are: 1)
>>> Matrix Factorization with ALS 2) Logistic regression with SVD.
>>>>
>>>> Apache Mahout: Scalable machine learning and data mining<
>>> https://mahout.apache.org/users/basics/algorithms.html>
>>>> mahout.apache.org
>>>> Mahout 0.12.0 Features by Engine¶ Single Machine MapReduce Spark H2O
>>> Flink; Mahout Math-Scala Core Library and Scala DSL
>>>>
>>>>
>>>>
>>>> Any thoughts/guidance or recommendations would be very helpful.
>>>> Thanks in advance.
>>>
>>>
