Linear Regression Predict VAL

Linear Regression Scoring is the application of a Linear Regression model to an input data that contains the same independent variable columns contained in the model.Linear regression model evaluation begins with scoring a DataFrame that includes the actual values of the dependent variable. There is an additional required input table that specifies the model used by the VALIB LinReg function.

Options

Accumulate

Specifies the name(s) of the column(s) from the input to retain in the output.

Index Columns

Specifies the name(s) of the column(s) representing the primary index of the score output.

Response Column

Specifies the name of the predicted value column.

Output Schema

Output Schema, if Volatile is true then use user login as the schema.

Output Table

Output Table

VAL Location

VAL Location

Nodes

• Column Filter Configuration3 ×
• String Configuration3 ×
• Table Row to Variable3 ×
• Python Script2 ×
• Component Input1 ×
• Show all 12 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Database
• FeatureKNIME Quick Forms

Links

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