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Introduction Version

Kernel-Ridge trainer

TASK
Typing name :  TASK.gws_gaia.KernelRidgeTrainer Brick :  gws_gaia v

Train a kernel ridge regression model

Trainer of a kernel ridge regression model. Fit a kernel ridge regression model with a training table.

See https://scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.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.

Type : ListMaximum occurrences number : -1

target_name

The name of the 'columns' or 'row_tag keys' to use as targets or labels.

Type : string

target_origin

Optional

The origin of the target. Notice: Targets comming from a 'row_tag' are always considered as categorical.

Type : stringAllowed values : column  row_tag  Default value : column

target_type

Optional

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

Type : stringAllowed values : auto  categorical  numerical  Default value : auto

gamma

Type : float

kernel

Optional

Type : stringDefault value : linear