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(a)lists.jboss.org https://lists.jboss.org/mailman/listinfo/hawkular-dev

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(a)redhat.com&gt; wrote: > Congrats Pavol! > > 2016-04-21 8:30 GMT+02:00 Pavol Loffay <ploffay(a)redhat.com&gt;: > >> 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(a)lists.jboss.org >> https://lists.jboss.org/mailman/listinfo/hawkular-dev >> >> > > > -- > Thomas Segismont > JBoss ON Engineering Team > > _______________________________________________ > hawkular-dev mailing list > hawkular-dev(a)lists.jboss.org > https://lists.jboss.org/mailman/listinfo/hawkular-dev > > _______________________________________________ hawkular-dev mailing list hawkular-dev(a)lists.jboss.org https://lists.jboss.org/mailman/listinfo/hawkular-dev