SVC trainer
Train a C-Support Vector Regression (SVC) model
Trainer of a Epsilon-Support Vector Regression (SVR) model. Fit a SVR model according to a training table.
See https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html for more details.
Input
Table
The input table
Output
result
The output result
Configuration
training_design
Define the training design, i.e. the target Y to use for the model.
List-1target_name
The name of the 'columns' or 'row_tag keys' to use as targets or labels.
stringtarget_origin
The origin of the target. Notice: Targets comming from a 'row_tag' are always considered as categorical.
stringcolumn row_tag columntarget_type
The type of the target (categorical or numerical). Set 'auto' to infer the correct type. Notice: targets comming from row_tags are allways considered as categorical
stringauto categorical numerical autokernel
stringrbf