Classical linear regressors

LinearRegression/Ridge/RidgeCV/SGDRegressor

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 LinearRegression]

Workflow Example

Python Package

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

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

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

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