This is the Linux app named sktime whose latest release can be downloaded as v0.38.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
sktime
DESCRIPTION:
sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes time series classification, regression, clustering, annotation, and forecasting. It comes with time series algorithms and scikit-learn compatible tools to build, tune and validate time series models. Our objective is to enhance the interoperability and usability of the time series analysis ecosystem in its entirety. sktime provides a unified interface for distinct but related time series learning tasks. It features dedicated time series algorithms and tools for composite model building such as pipelining, ensembling, tuning, and reduction, empowering users to apply an algorithm designed for one task to another.
Features
- Forecasting
- Time Series Classification
- Time Series Clustering
- Documentation available
- Examples available
- Time Series Distances/Kernels
- Annotation
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/sktime.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.