Regressors with variable selection

ElasticNet/ElasticNetCV/Lars/LarsCV/Lasso/LassoCV/LassoLars/LassoLarsCV/LassoLarsIC/OrthogonalMatchingPursuit/OrthogonalMatchingPursuitCV

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. Only one column should be selected.

[Task information of ElasticNet]

Workflow Example

Python Package

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

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

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

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

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

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

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

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

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

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

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