sym.predict.symbolic_svm_cm: Predict model_svm_cm model

In RSDA: R to Symbolic Data Analysis

Predict model_svm_cm model

Description

Predict model_svm_cm model

Usage

## S3 method for class 'symbolic_svm_cm'
sym.predict(model, new.sym.data, ...)

Arguments

model	model
new.sym.data	new data
...	optional parameters

References

Lima-Neto, E.A., De Carvalho, F.A.T., (2008). Centre and range method to fitting a linear regression model on symbolic interval data. Computational Statistics and Data Analysis52, 1500-1515

Lima-Neto, E.A., De Carvalho, F.A.T., (2010). Constrained linear regression models for symbolic interval-valued variables. Computational Statistics and Data Analysis 54, 333-347

Lima Neto, E.d.A., de Carvalho, F.d.A.T. Nonlinear regression applied to interval-valued data. Pattern Anal Applic 20, 809–824 (2017). https://doi.org/10.1007/s10044-016-0538-y

Rodriguez, O. (2018). Shrinkage linear regression for symbolic interval-valued variables.Journal MODULAD 2018, vol. Modulad 45, pp.19-38

RSDA documentation built on Nov. 10, 2023, 5:06 p.m.