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yashgarg1232 / MMDTW

Metadata-enriched Dynamic Time Warping for Multi-Variate Time Series
MIT License
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mailtivarite time series classification for example mixture of categorical and continues data #6

Open Sandy4321 opened 5 years ago

Sandy4321 commented 5 years ago

Is your feature request related to a problem? Please describe. will it work for mailtivarite time series classification for example mixture of categorical and continues data for example at time t1 we have observation: red, 2.4 , 5, 12.456 and time t2: green, 3.5, 2, 45.78; time t3: black, 5.6, 7, 23.56; t4: red, 2.1, 5, 12.6 ?

yashgarg1232 commented 5 years ago

Current implement assumes that the individual variates, be it continuous or categorical are real-valued. However, if you could transform the data to map red > 1, green > 2, black > 3, and red > 1. Then MMDTW library should be able to work on the input data.

Moreover, I don't see a problem in extending the functionality to work with user-provided variate types (string or real-values).

Sandy4321 commented 5 years ago

Moreover, I don't see a problem in extending the functionality to work with user-provided variate types (string or real-values). Great Can you add this