[Hawkular-dev] Hawkular Data Mining 0.1.0.Final Release

[Pavol Loffay]

Blog post is available here
http://www.hawkular.org/blog/2016/04/21/datamining-first-release.html


Pavol

On Thu, Apr 21, 2016 at 10:02 AM, Thomas Segismont <tsegismo at redhat.com>
wrote:

> Congrats Pavol!
>
> 2016-04-21 8:30 GMT+02:00 Pavol Loffay <ploffay at redhat.com>:
>
>> Hello Everyone,
>>
>> I am happy to announce first release 0.1.0.Final of Hawkular Data Mining.
>> Release contains several time series models and utility classes for time
>> series modelling:
>>
>> *Time series models*
>>
>>    - Simple exponential smoothing
>>    - Double exponential smoothing (Holt's linear trend)
>>    - Seasonal triple exponential smoothing (Holt Winters)
>>    - Simple moving average (Weighted moving average)
>>    - AutomaticForecaster - which automatically selects the best model
>>    - All these models are estimated using maximum likelihood estimation
>>    and available for online learning
>>
>> Time series manipulation & Statistics
>>
>>    - Augmented Dickey-Fuller test
>>    - Autocorrelation function (ACF)
>>    - Time series decomposition
>>    - Time series lagging
>>    - Time series differencing
>>    - Automatic period identification
>>
>>
>> If you want to try it with Hawkular: https://goo.gl/R93k02
>>
>>    1. clone https://github.com/hawkular/hawkular/tree/datamining -
>>    hawkular/hawkular branch datamining
>>    2. build with -Pdev && run
>>    3. enable predictions preferably for every metric
>>    https://github.com/hawkular/hawkular-datamining and wait for some
>>    time (see below)
>>    4. go to the Explorer tab, choose metric and increase forecasting
>>    horizon
>>
>> Data Mining is currently not able to query historical metric data from
>> metrics due to authentication issues. However it still receives metrics
>> from bus so it is important to enable predictions as soon as possible and
>> wait for some time to collect data (or increase collection interval). This
>> will be fixed in the next versions.
>>
>> Thanks to Jiri Kremser and UI team for helping with predictive charts.
>>
>> Useful links:
>>
>>    - Docs <http://www.hawkular.org/docs/components/datamining/index.html>
>>    - REST API <http://www.hawkular.org/docs/rest/rest-datamining.html>
>>
>>
>> Regards
>> Pavol
>>
>> _______________________________________________
>> hawkular-dev mailing list
>> hawkular-dev at lists.jboss.org
>> https://lists.jboss.org/mailman/listinfo/hawkular-dev
>>
>>
>
>
> --
> Thomas Segismont
> JBoss ON Engineering Team
>
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>
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