TSSVM
Time Series Forecasting using SVM Model
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.
- Version0.1.0
- R version≥ 2.3.1
- LicenseGPL-3
- Needs compilation?No
- Last release12/02/2022
Team
Mrinmoy Ray
Kanchan Sinha
Show author detailsRolesAuthor, ContributorK. N. Singh
Show author detailsRolesAuthor, ContributorSamir Barman
Show author detailsRolesAuthor, Contributor
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- Depends2 packages