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Shapelets Review

2

Β·

Very good

Revainrating 4 out of 5Β Β 
RatingΒ 
4.0
Analytics, Time Series Intelligence

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Description of Shapelets

The first state-of-the-art platform for time series analysis

Reviews

Global ratings 2
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  • 4
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Type of review

Revainrating 4 out of 5

R & Python data visualization software with great community support!

I like that this is an open source software, meaning anyone can contribute to it as well! It's also very easy to use even if you are not familiar with R or Python programming language (I'm both). There isn't much of anything bad about shapelet either - good documentation available online in many languages including English; great community support through Slack & GitHub issues page etc.; fast response times from developers when questions arise via Github tickets/issues pages ; nice…

Pros
  • Also provides user friendly APIs allowing us get some awesome features without having any coding skills whatsoever :)
Cons
  • Not sure what else could be done here

Revainrating 4 out of 5

The most friendly and user-friendly platform for statistical analysis

I use shapelet to extract various features from my data, such as mean values of different periods or seasonalities (seasonal decomposition). It is very easy to implement with R packages like fGarch package which allows me to work in an environment that has not been well developed yet by other platforms. There are some issues when using this software but they can be solved easily once you have basic knowledge about it's functions. Try it out! You will find lots of interesting applications…

Pros
  • ; variety types/shapes available
Cons
  • Not many prebuilt shapes so need customization.
  • Highly dependent upon coding skills