We are using Yahoo Egads for our Anomaly Detection system on time series
data. If has good forecasting and Anomaly Detection modules.

https://github.com/yahoo/egads


On Thu, Sep 20, 2018 at 5:22 AM Aakash Basu <aakash.spark....@gmail.com>
wrote:

> Hey,
>
> Even though I'm more of a Data Engineer than Data Scientist, but still, I
> work closely with the DS guys extensively on Spark ML, it is something
> which they're still working on following the scikit-learn trend, but, I
> never saw Spark handling Time-Series problems. Talking about both
> Scala-Spark and PySpark.
>
> So, in short, I think it is yet to be added in the future releases of
> Spark, that too, Scala-Spark will get the first release and then they'll
> come to other language APIs in future minor releases as per need, usage and
> importance.
>
> Best,
> AB.
>
> On Thu 20 Sep, 2018, 4:43 AM ayan guha, <guha.a...@gmail.com> wrote:
>
>> Hi
>>
>> I work mostly in data engineering and trying to promote use of sparkR
>> within the company I recently joined. Some of the users are working around
>> forecasting a bunch of things and want to use SparklyR as they found time
>> series implementation is better than SparkR.
>>
>> Does anyone have a point of view regarding this? Is SparklyR is better
>> than SparkR in certain use cases?
>>
>> On Thu, Sep 20, 2018 at 4:07 AM, Mina Aslani <aslanim...@gmail.com>
>> wrote:
>>
>>> Hi,
>>>
>>> Thank you for your quick response, really appreciate it.
>>>
>>> I just started learning TimeSeries forecasting, and I may try different
>>> methods and observe their predictions/forecasting.However, my
>>> understanding is that below methods are needed:
>>>
>>> - Smoothing
>>> - Decomposing(e.g. remove/separate trend/seasonality)
>>> - AR Model/MA Model/Combined Model (e.g. ARMA, ARIMA)
>>> - ACF (Autocorrelation Function)/PACF (Partial Autocorrelation Function)
>>> - Recurrent Neural Network (LSTM: Long Short Term Memory)
>>>
>>> Kindest regards,
>>> Mina
>>>
>>>
>>>
>>> On Wed, Sep 19, 2018 at 12:55 PM Jörn Franke <jornfra...@gmail.com>
>>> wrote:
>>>
>>>> What functionality do you need ? Ie which methods?
>>>>
>>>> > On 19. Sep 2018, at 18:01, Mina Aslani <aslanim...@gmail.com> wrote:
>>>> >
>>>> > Hi,
>>>> > I have a question for you. Do we have any Time-Series Forecasting
>>>> library in Spark?
>>>> >
>>>> > Best regards,
>>>> > Mina
>>>>
>>>
>>
>>
>> --
>> Best Regards,
>> Ayan Guha
>>
>

-- 

Regards,
Akash Mishra.


"It's not our abilities that make us, but our decisions."--Albus Dumbledore

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