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TSSVM

Time Series Forecasting using SVM Model

v0.1.0 · Dec 2, 2022 · GPL-3

Description

Implementation and forecasting univariate time series data using the Support Vector Machine model. Support Vector Machine is one of the prominent machine learning approach for non-linear time series forecasting. For method details see Kim, K. (2003) <doi:10.1016/S0925-2312(03)00372-2>.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (1)

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Dependency Network

Dependencies Reverse dependencies e1071 forecast THETASVM TSSVM

Version History

new 0.1.0 Mar 10, 2026