I am adding dev@ for record. Upul, this is beautiful :) !!
I think we can do this with released components? Basically build the model in ML and use that in IoT product then. Also I think we should try this with more datasets + read about this ( I guess someone must have done this before), and add it to ML wizard. Currently we do not have a good way to predict autocorrelated data. Nirmal, we should use the same with United secuirty check time use case. I will be in Trace in the PM. Let's chat. Thanks Srinath p.s. what are you using to try this out? (ipynb thing). On Sun, Nov 29, 2015 at 10:17 PM, Upul Bandara <[email protected]> wrote: > Hi Srinath, > > As we discussed Friday morning, few time series models were trained using > simple linear regression with moving windows. > Three small (but real-world) datasets were used for training those models. > > According to the generated prediction graphs, it looks like "moving > windows" are capable of (correctly) identifying trends in time series > graphs. > > Prediction graphs are shown in [1]. > > > [1]. > https://github.com/upul/scratch/blob/master/Time_Series_Using_Linear_Regression.ipynb > > Thanks, > Upul > > -- > Upul Bandara, > Mob: +94 715 468 345. > -- ============================ Blog: http://srinathsview.blogspot.com twitter:@srinath_perera Site: http://people.apache.org/~hemapani/ Photos: http://www.flickr.com/photos/hemapani/ Phone: 0772360902
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