An opensource library for accelerated analytics
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Discover patterns and anomalies on your data and predict the future
Shapelets incorporates the latest and best performance time series algorithms created by academics so you can distribute and scale them in a parallel fashion
Traditional analytics platforms focus on metrics instead of changes in data
Shapelets offers key accelerated analytics such as pattern recognition (motifs and chains) and anomaly detection (discords) in a horizontal and scalable offer
Predict future trends in your data series in just milliseconds
Shapelets algorithms harness the GPU’s parallel processing power and returns super fast results without any prior training
Changes can be caused by multiple variables that can be interconected
Shapelets' algorithms allow you to establish a cause and effect relationship between a collection of time series and an output in such way that you can explain linear relationships between the inputs that cause an effect on the output
Explore sequences and find regularities in your data in a domain agnostic manner
Classify your time series and identify variations in sequences according to their shape
Run all these analytics in a parallel fashion to exploit the resources available
An opensource library for accelerated analytics
And don´t forget to give us a star!