Multi-task linear regressors with variable selection

MultiTaskElasticNet/MultiTaskElasticLasso/MultiTaskElasticNetCV/MultiTaskElasticLassoCV

Common

Input Data

	Inputs
*Target Data	Data Input
*Model Name	Name of the user-defined linear model
Predict Output	If not empty, the model will additionally make prediction on Target Data and store the result here.
Merge Data	Predict Output will be created with predicted labels concatenated to Merge Data.
*x (numeric)	User-selected columns to be x. One or more columns should be selected.
*y (numeric)	User-selected columns to be y should have two or more columns selected

[Task information of MultiTaskElasticNet]

Workflow Example

R-flow Task Example Video

Python Package

MultiTaskElasticNet: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html

MultiTaskElasticLasso: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticLasso.html

MultiTaskElasticNetCV: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV.html

MultiTaskElasticLassoCV: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticLassoCV.html